The impact of the targeted harmonized
wage code on unemployment insurance
Lalith de Silva, Dominic Rotondi, and Mikel Lasa
Planmatics, Inc.
November 2001
This report on the Impact of the Targeted Harmonized Wage Code on Unemployment Insurance was funded by the U.S. Department of Labor, Employment and Training Administration and the Internal Revenue Service. Lalith de Silva, Dominic Rotondi and Mikel Lasa of Planmatics Inc. are the primary authors. Eugene Klein, Adrian Millet and William Sullivan also contributed. At the U.S. Department of Labor, Esther Johnson and John Heinberg, the Project Officers, directed the study, assisted in the design and implementation, and provided continuous feedback. Rett Hensley provided many helpful comments and suggestions throughout the project.
A large number of people participated in the study and contributed to the results. Our thanks to Midori Morgan-Gaide and Philip Corn from the Internal Revenue Service, and Ron Moore, a contractor to STAWRS, for providing information and feedback. Michael Perry and Robert Spriggs of Lake, Snell Perry conducted the focus groups. Larry Sherman and Andrea Coon of Paychex Inc. provided the critical payroll data and invaluable assistance.
Our special thanks to the State Unemployment Insurance administrators in the five states who provided data for use in the analysis of THWC impact and assistance before, during and after the visits: California, Georgia, Minnesota, Montana, and Pennsylvania.
In California, Bob Affleck, Richard Curry, Judith Hall, James Legler, Jazette Lewis, Richard Kihlthau, Paul Wagner, Marie Lopez, Jaime Feliciano, Norval Chan, Kim Heacock, Rick Leach, and Rosalie Andris provided assistance.
In Georgia, Robert Thomas, John Lawrence, Greg Wynn, Marti Colglazier, Mark Watson, Roger Salandi, Carla Wright and Cassandra Martin provided assistance.
In Minnesota, Jack Weidenback, David Haney, John Berglund, Jay Mousa, Mustapha Hammida, Daniel Dudon and Lee Nelson provided invaluable assistance.
In Montana, Sandy Bay, Bob Liffring, Ward Stiles, Steve Welch, Theresa O'Brien and Mary Boswell provided assistance.
In Pennsylvania, Alan Williamson, Pete Cope, Betty Miller, Craig Pontz, Laura Reohr, Jane Pomerantz, Marie Burton, Greg Keeley, Bob Kopko, Jim Smathers, Marie Ryan, and Tony Newhouse provided invaluable assistance.
TABLE OF CONTENTS
1.2 The Simplified Wage and Tax Reporting System *
1.3 The Harmonized Wage Code Project *
2.1 Relationship of the THWC to Unemployment Insurance *
CHAPTER 3 Focus Groups and Site Visits *
CHAPTER 4 Impact of THWC on UI Revenue and Benefits *
4.1 Data Used for Calculations *
4.1.1 Data Limitations and Assumptions *
CHAPTER 5 Conclusions and Recommendations *
TABLES
TABLE 4.1 Revenue Loss by Industry - California *
TABLE 4.1A Impact of THWC Component by Sector *
TABLE 4.2A Total Benefit Reduction *
TABLE 4.2B Benefit Reduction for Large Employers *
TABLE 4.2C Benefit Reduction for Small Employers *
TABLE 4.3. Revenue Loss by Industry - Georgia *
TABLE 4.3A Impact of THWC Component by Sector *
TABLE 4.4.A Total Benefit Reduction *
TABLE 4.4.B Benefit Reduction for Large Employers *
TABLE 4.4.C. Benefit Reduction for Small Employers *
TABLE 4. 5 Revenue Loss by Industry - Minnesota *
TABLE 4. 5A Impact of THWC Components by Sector *
TABLE 4.6.A Total Benefit Reduction *
TABLE 4.6.B Benefit Reduction for Large Employers *
TABLE 4.6.C.Benefit Reduction for Small Employers *
TABLE 4.7 Revenue Loss by Industry - Montana *
TABLE 4.7A Impact of THWC Components by Sector *
TABLE 4.8 A. Total Benefit Reduction *
TABLE 4.8 B. Benefit Reduction for Large Employers *
TABLE 4.8 C. Benefit Reduction for Small Employers *
TABLE 4.9 Revenue Loss by Industry - Pennsylvania *
TABLE 4.9A Impact of THWC Components by Sector *
TABLE 4.10.A Total Benefit Reduction *
TABLE 4.10.B Benefit Reduction for Large Employers *
Social programs that provide benefits and protection to workers are generally funded by taxes levied on employer payrolls. Key among the laws governing these taxes are the Federal Insurance Contributions Act (FICA), the Federal Unemployment Tax Act (FUTA) and the individual State Unemployment Insurance Laws (SUI). The diversity and complexity of the state and federal laws governing taxes and withholding have been identified as creating a burden for the business community.
In response to these concerns the federal government established a multi-agency task group called the Simplified Tax and Wage Reporting System (STAWRS) to review the tax and wage reporting process and to develop strategies for a simplified reporting system to replace the multitude of laws currently in effect.
One of the principal initiatives of the STAWRS Group is the Harmonized Wage Code (HWC) project. The HWC project group reviewed some 100 laws relating to the reporting of wages by employers, both federal and state, to identify the similarities and differences among them and, once identified, ascertained whether a measure of harmonization or uniformity would be feasible. During this process it became apparent that the differing objectives among income tax withholding laws and employment tax laws added materially to the project's complexities. To facilitate their work, the project divided into two segments - one for income tax withholding and one for employment tax laws (i.e., FICA, FUTA, and SUI).
The group further recognized that complete harmony was not necessary to achieve a high degree of success for a majority of the nation's employers. The group then focused on employers with 20 or fewer employees, since they comprise 85% of employers in the United States, and deal with fewer of the differing components of wages.
This approach became known as the Targeted Harmonized Wage Code (THWC). It addresses 14 elements or components of payroll that are most common to small employers. The intent of the THWC is to produce a set of recommendations which, if adopted, more closely harmonizes or aligns the wage components identified among the federal and state employment tax laws. States could achieve harmony with minimal modifications to existing laws; preferably in some cases by administrative action rather than statutory changes; and accomplish a large measure of harmony within a relatively short period. The group believed that the proposed changes would have minimal negative economic impact on state revenues.
While endorsing the concepts of simplification and efficiency, the U. S. Department of Labor made note of the fact that to the extent that in those states where redefinitions could serve to reduce wages subject to SUI, there will be a commensurate reduction in SUI revenues financing the unemployment insurance system. Further, such redefinitions may reduce the unemployment insurance benefits payable to qualified workers or eliminate some of them from eligibility. Therefore, DOL and the IRS authorized this study to obtain feedback on what small employers perceive to be burdensome in tax and wage reporting systems and obtain suggestions from employers, and to determine the probable impact of the THWC on SUI revenues and benefits.
For the task of eliciting opinions on what is perceived to be burdensome in the wage code and obtain suggestions for changes and simplification, qualitative input was obtained from interviews with UI administrators and focus groups of small employers and payroll processors.
A number of Unemployment Insurance administrators were of the mistaken opinion that the THWC recommendations appear to be addressed to benefit large multi-state employers and accounting and payroll providers, and have little or no value to the majority of small employers who conduct business in only one state. Legislative staff in the nine states visited were unanimous in opinion that if a state is asked to change the way a component is currently reported for UI tax purposes and if the removal of the component would result in any significant reduction in benefits of individuals by income class or occupational category, it is unlikely that state legislatures would be amenable to the proposal.
Approximately fifty small employers were surveyed in focus groups. The majority stated that any plan for simplification should not have a negative impact on workers, especially in reducing worker benefits even though such a plan might produce an economic or administrative benefit to them.
Employer groups interviewed seemed generally unaware of many of the current differences in the reporting of some of the wage components for federal and state unemployment purposes. Employers are probably not reporting correctly. However, as is stated in the report, they were not too concerned with the burden of tracking the different components of wages for federal and state requirements.
Small employers expressed dissatisfaction with the differences in reporting times and payment schedules. They would like greater uniformity in this area, including some consolidation of the periodic payment processes. Almost everyone was in favor of reporting simplification, but looked upon harmonization of wage definitions as being of little value in reducing the employer reporting burden when compared to other wage and tax issues of greater concern to them: such as treatment variances in sales tax reporting requirements, complications in tip reporting rules, severity of penalties for late payment of taxes, difficulty in communicating with the government offices, and distinguishing between employees and independent contractors.
To estimate the impact of the THWC on SUI revenue and benefits, two types of wage record and benefit data were needed from a sample of states. A major payroll service with a nationwide presence agreed to assist in the study and provided one quarter of employee wage record information, disaggregated by the THWC components, for a sample of states for calendar year 1999. SUI revenue and benefit data on the universe of employers for each of the sampled states for 1999 was also needed. Five states provided this needed data: California, Georgia, Minnesota, Montana and Pennsylvania. Collectively, these states had a fair representation of the wage component differentials in their UI laws. The data from the payroll service and SUI agencies were combined and a series of calculations and simulations were performed.
The impact on SUI revenues is the difference between UI taxes collected under current laws and the taxes collected if the THWC items were harmonized. The application of the ratios of the components in the sample payroll files to the state wage files was tailored to the state being studied to recognize the annual taxable wage base limit involved.
The impact of the THWC on benefits involved a similar set of calculations. The annual dollar value of each THWC component derived from the payroll sample was converted to a weekly benefit amount (WBA) in keeping with the state's principal method of computation. Since the components represented reductions in gross wages, the conversion represented a potential reduction in an individual's WBA. For each individual in the UI claimant file, an adjustment to the WBA was made based on the estimated parameters determined by the payroll sampling. The total estimated benefits paid is the sum of all the adjusted WBAs in the UI claimant file. The total estimated benefits paid was compared to the actual benefits paid for the time period covered by the data to determine the expected impact of the THWC on claimants.
One of the selection criteria used by the STAWRS Group in advancing the THWC initiative was to select wage components for harmonization that were most common to the small employer. The study's computations show that the selected components met this criterion, particularly when assessing the impact of the relevant components on SUI revenues. The impact on state revenue was minimal. However it must be noted that the study was conducted using the most current data, therefore the revenue impact was measured for 1999 when average employer contribution rates were among the lowest in the past 10 years. Should these rates increase, the impact would increase as well. The relative impact on revenues increases as taxable wage bases increase because a greater portion of the affected wage components falls within the greater taxable wage base.
Unlike revenues the impact on claimant benefits are not directly linked to the taxable wage base. Rather, they are more closely related to workers' occupations, industries in which they are employed, and their level of earnings. The number of claimants as a percentage of the entire claimant population was quite small, less than 1% in the sample states. The impact on claimants who would be affected, however is more substantial. The reductions in their weekly benefit rate ranges on average from 7% to 30%.
As expected, the major impact would be from the THWC recommendation of the meals and lodging provision that excludes the value of meals and lodging as designed in determining taxable wages and benefits for SUI purposes. At present, 23 states treat meals and lodging as wages in their laws and would be affected by this recommendation. These states include California (included in this study), New Jersey, New York, and Texas. They represent in excess of 26% of the nation's work force. In terms of impact on affected claims, analysis of California's data indicate the average benefit claim over its duration is $2,433 and the average value of the exclusion of the meals and lodging component on affected claims is $487, amounting to 20% of the claim of the workers affected. This percentage of reduction, or one close to it, could occur in New Jersey, New York and Texas as well.
It is important to remember that the impacts on benefits were measured at a time when benefit outlays were near, or at, a 10-year long low. Should there be an increase in unemployment rates, the impacts would increase as well. During periods of economic recession, an increase in the unemployment rate does not apply equally among all industries or categories of workers. In past recessions, those industries associated with hospitality services - hotels, restaurants, resort areas - generally sustained an earlier, greater and more prolonged impact than other industries. Since the meals and lodging component exists in hospitality services to a far greater degree than in other industries, the THWC's impact on the percentage of affected claimants, benefit duration and weekly benefit reductions would be considerably greater.
On the basis of the results of this study, we recommend the draft model state legislation that incorporates the THWC proposal be advanced by the STAWRS Group to the individual states for their consideration. In addition to its stated purpose, it could serve as a point of departure for broader discussion on the entire issue of tax reporting and its need for simplification and greater utility of available electronic technologies.
This report presents the results of a study on the impact of the Targeted Harmonized Wage Code on Unemployment Insurance revenue and benefits commissioned by the Employment and Training Administration (ETA) of the U.S. Department of Labor (USDOL) and the Internal Revenue Service (IRS).
The report begins with an overview of the mission of the Simplified Tax and Wage Reporting System group (STAWRS), the Harmonized Wage Initiative and the events leading to the Targeted Harmonized Wage Code (THWC). Next, the objectives of this study and the study design are described. The report then presents the feedback obtained from selected unemployment insurance (UI) administrators, proprietors of small businesses, and payroll preparation staff concerning simplification of the tax and wage reporting process and the proposed THWC. Next, for selected states, the report presents the potential impact of the THWC components on UI tax revenues and benefits. Finally, the report presents the findings and recommendations.
Social programs that provide benefits and income protection to workers are generally funded by taxes levied on employer payrolls. Chief among the laws governing these taxes are the Federal Insurance Contributions Act (FICA), the Federal Unemployment Tax Act (FUTA) and State Unemployment Insurance Laws (SUI) of the individual states. Each of these laws contains provisions applicable to the operation of that particular law that causes employers to question:
While these basic questions are common to each of the payroll taxes, in some jurisdictions, the answers are different in their definitions and applicability. These differences are a reflection of economic needs prevailing at the times the taxes were enacted and the current social and political philosophies of the jurisdiction.
The principal differences are among the individual SUI tax laws and between the SUI taxes and the FICA and FUTA laws. These differing provisions and definitions have long been an expressed concern to the business community. They are viewed as an administrative burden on the reporting process, not only to the perceived complexities of the process itself but in the effort needed to remain abreast of any modification of these differences by either the state or federal government. This is particularly true for an employer who conducts business in more than one state. It is this concern, i.e., differing provisions and definitions, as well as other administrative and economic issues, that has given rise to the increasing usage of payroll processing services.
The diversity and complexity of the state and federal laws governing taxes and withholding have been identified as an important cause of employer burdens. In response to these concerns the federal government established a multi-agency task group to review the entire wage reporting process and to develop strategies fostering simplification and efficiencies both for the public and government. This group became known as the Simplified Tax and Wage Reporting System group (STAWRS). It is comprised of representatives of the Department of Labor, the Internal Revenue Service, the Department of Treasury, the Social Security Administration, and the Small Business Administration.
The mission of STAWRS is to reduce employer tax and wage reporting burdens while improving the effectiveness of government operations. The program's overall objective is to develop strategies for a simplified tax reporting system that would replace the multitude of complex tax reporting laws currently in effect. Among its goals are to encourage simplification in federal and state employment laws, to decrease the number of tax and wage forms used in the process, to provide leadership in developing increases in electronic usage within the process, and to support efforts to develop and promote electronic processing strategies.
Among the many initiatives completed or under development are:
The ongoing work of STAWRS is more fully described at the website www.employers.gov
One of the principal initiatives of the STAWRS Group is the Harmonized Wage Code project, which recognizes that the current tax and wage reporting laws are one of the root causes of the burden placed on employers. Under Section AO8.2 of the Treasury Department's Government Information Technology Services Plan, the STAWRS Program Office was charged with the responsibility of managing the project. In approaching this plan, the STAWRS group was expanded to promote participation from representatives of the employer community, payroll processors and state unemployment insurance agencies.
Early on in the HWC project, it became apparent to the project team that the differing objectives underlying income tax withholding tax laws and employment tax laws added to their diversity and complexities. Income tax withholding tax laws are designed to raise revenues for the operation of government. Employment tax laws, while incorporating a revenue-generating component, are designed primarily to provide financial benefits to the nation's workforce - social security benefits and unemployment insurance benefits. The project was then divided into two parts, income tax withholding and employment taxes.
The starting point of the HWC project was the review of some 100 laws, both federal and state, to identify the similarities and differences among them. The differences identified were of such variety and magnitude that an approach of gradual implementation might be appropriate if the project was to move forward with any degree of timeliness. The committee focused on employers with 20 or fewer workers because they comprise 85% the majority of employers in the United States and deal with fewer provisions in state and federal tax laws than larger employers. This approach would provide maximum potential benefits to the greatest number of employers in the shortest amount of time.
The work group recognized that complete harmony among the various laws is not necessary to achieve a high degree of success in benefiting most of the nation's employers. The work group sought an approach that would benefit the greatest number of employers.
To meet these criteria, efforts were directed to small employers - those with 20 or fewer workers who comprise 85% of the nation's employer population. As a group, they generally deal with a smaller number of wage components yet, in the aggregate, bear the greatest per employee costs associated with the payroll reporting process. The differing tax provisions were then examined to identify those that are most common to small employers.
This approach became known as the Targeted Harmonized Wage Code (THWC) Initiative. It addresses 14 components of payroll. Among the selected components, two are wage inclusions and 12 are primarily wage exclusions. If an employer must deal with one or more of these 14 components and they are harmonized, then that employer would have the benefit of a reduction in burden because of the reduced number of definitions they have to be concerned with in record keeping and reporting.
The intent of the THWC is to produce a set of recommendations, which if adopted, would more closely harmonize or align the several wage components identified among the federal and state employment tax laws. Additionally, it is possible that the THWC may be an alternative to the Harmonized Wage Code, which addresses the remaining provisions. Congress and the states may find it less difficult to adopt this concept of a less extensive HWC targeted to the benefit of smaller employers.
Description of Components
The HWC Project, as a result of the deliberations, selected the 14 wage components. These components identified as the Targeted Harmonized Wage Code project, described below, are the subject of this analysis.
1. Vacation Pay
These are payments made to an employee for paid vacation time and are considered taxable wages. With one minor exception, this component is treated uniformly among all laws.
2. Health Insurance
These are employer payments of all or a portion of health insurance premiums under a plan or system for employees or their dependents. The payments are considered non-taxable and this treatment is uniform among all laws.
3. Payments for Jury Duty
These are wage-continuation payments by an employer to an employee while that employee is serving on jury duty. This component is considered taxable and this treatment is uniform among all laws.
4. Cafeteria Plans
These are employer plans that offer employees a choice among a variety of benefits, including cash. For federal tax purposes in all but 14 states, the receipt of any benefit chosen would be taxable to the extent it would otherwise be taxable if there were no plan. For example, a payment of cash would be taxable, whereas the payment of health insurance premiums would not. For SUI purposes, there appear to be some differing treatments - one being that if one of the payment options is cash, then all payments become taxable.
5. Meals and Lodging
The value of meals and lodging is treated as excludable from taxable wages for federal tax purposes, under certain described circumstances, i.e., for the convenience of the employer, and are provided on the premises of the employer. For SUI purposes, 26 states do not exclude the value of meals and lodging under any circumstance and treat their value as taxable wages.
6. Moving Expenses
These are payments made to or on behalf of an employee, directly or indirectly, as payment for, or reimbursement of, the cost of business-related moving. The general rule is that these payments are treated as non-taxable for both federal and SUI purposes if the payment meets the requirements of IRC 217.
7. Group Term Life Insurance
These are payment of premiums by an employer for Group Term Life Insurance. There are a variety of rules designed to assure that this benefit is made available on an equitable basis to all employees. The entire premium is excludable from FUTA, whereas only the premiums on the first $50,000 of coverage are excluded from FICA. SUI laws, in the main, treat all premium payments as excludable.
8. Death Benefits
These are payments made to a survivor or the estate of a former employee on account of and upon death, under a plan established by the employer for employees. Any payment made after the calendar year of death is also not included. Employer provided death benefits are not included as wages for FICA, FUTA and SUI.
9. Dependent Care
These are payment for household and/or dependent care or assistance paid directly or indirectly, or provided to an employee under a dependent care assistance program that covers only an employer's employees. Payments up to $5,000 excluded from wages. Generally, SUI laws are silent on this component and thus are included in wages.
10. Sick Pay
These are amounts paid, directly or indirectly, under a plan established by an employer that is available to employees generally or to classes of employees because of temporary absences from work due to injury, sickness or disability. For federal purposes, these payments are generally included as wages for the first six months. The SUI laws in fifteen states exclude these payments from taxable wages.
10a. Sick Pay After Six Months
Sick pay amounts, as described above, paid after six calendar months following the last calendar month in which an employee worked are excludable as taxable wages for federal tax laws. Most SUI laws follow this treatment.
11. Tips
These are payments made to, or on behalf of an employee that are made by a customer without compulsion. Cash tips in excess of $20 per month, reported in writing to the employer, by the employee, are subject to federal tax. In general, they are taxable for SUI purposes as well, except that the conditions and manner in which they are reportable to employers vary in a few of the states.
12. Fringe Benefits
Fringe benefits are those benefits that are excludable from gross income under IRC 132, such as: no additional cost service - e.g., free seat on plane for airline employees; qualified employee discount working condition benefit - e.g., company car for business use; de minimis benefit qualified transportation benefit - e.g., passes, parking, etc. Most SUI laws follow the federal rules.
13. Employee Business Expense Reimbursement
These are advances or reimbursements to an employee for expenses incurred in the conduct of the employer's business. The general rule for federal tax purposes is that these payments are not included in wages if they are substantiated or documented under an accountable plan. Conversely, if there is no accounting or an accountable plan, such payments are wages. Most SUI laws follow this treatment, although in some cases the accountable plan provision is not as precisely defined.
14. Contributions to Qualified Pension Plans
Employer contributions to qualified pension plans are generally excluded from the definition of wages for FICA or FUTA. State UI laws follow similar rules.
While endorsing the concepts of simplification and efficiency, the U. S. Department of Labor noted that to the extent that harmonization could serve to reduce wages in those states which are not in harmony, there will likely be a reduction in SUI revenues that finance the unemployment insurance system in those states. Further, such harmonization would serve to reduce the weekly unemployment benefits payable to qualified workers or possibly eliminate them from eligibility entirely.
Taxable wages, together with the various components that are includable or excludable, are critical to the unemployment insurance process. They are the basis for determining employer tax liability as well as the amount of benefits that a worker may receive during a period of unemployment.
To illustrate the impact on tax revenues, consider the following: An employer has an employee in state A and an employee in state B and each earns $20,000 per year. State A has a taxable wage base of $10,000 as opposed to state B's $21,000. (Taxable wage base is that portion of an employee's total wages subject to SUI tax). Consider as well that the reduction in taxable wages resulting from these definitional changes is $1,000 per year. There would be no impact in state A inasmuch as the portion of the employee's taxable wages would be unchanged. However, in state B taxable wages would be reduced from $20,000 to $19,000 and there would be a commensurate reduction in tax paid by the employer.
When considering worker unemployment benefits, there are two types of impacts that can occur. First, there are minimum earnings levels in each state that must be met before an unemployed worker becomes eligible for benefits. If any reduction in wages would drop a worker's earnings below the minimum earnings level, that worker would no longer be eligible for benefits. As states have differing minimum earnings levels, an unemployed worker in one state might lose eligibility whereas a worker in another state with the same pattern of earnings would retain eligibility.
Second, and more likely, is the potential reduction in weekly benefit amounts (WBA). These amounts are calculated on a worker's earnings, generally a combination of annual earnings and high-quarter earnings. Any reduction of annual or high-quarter earnings reduces the worker's WBA. The earnings of some workers are well beyond the amount that qualifies them for the maximum weekly benefit. If the reduction in annual or high quarter earnings does not fall below that amount, the weekly benefit rate would not be reduced. Typically, about one-third of all benefit recipients are in this group.
To obtain a more balanced and informed position on implementation of the proposed THWC, DOL and the IRS authorized a study to determine the probable impact on UI trust fund inflows and outflows and the populations likely to be impacted. This study also provides DOL and the IRS feedback from UI agency administrators, small employers, and payroll practitioners on the THWC recommendations and on the payroll reporting process in general.
The specific objectives of this study are to:
The first step was to identify the different sources and types of data required for the analyses of the specific research areas in a sample of states.
Two types of quantitative data are required:
For the next task of eliciting opinions of stakeholders on what they perceive to be burdensome in the existing wage code and suggestions for changes and simplification, qualitative information was required:
The next step was the selection of a sample of states. The 12 states selected are: California, Connecticut, Georgia, Iowa, Louisiana, Mississippi, Minnesota, Montana, Nevada, New Jersey, Pennsylvania, and Texas. We considered the degree of SUI conformity with the THWC provisions, geographic distribution, size of population, previous participation in STAWRS related activities, and the willingness of state administrators to provide wage record and claims files in the formats needed.
The more items that required changes in the way they are reported for SUI in order to conform to the THWC, the more significant would be the impact of their removal or inclusion on SUI revenues and benefits. Therefore, the primary selection criterion was to select states that had several components requiring harmonization. Each state's definition of gross wages was researched in the HWC database to select states in which the THWC is likely to have the greatest impact. As shown in Table 3 in appendix A, the matrix lists all the states and whether each state's UI law is fully or partially harmonized for each component. Among the 14 components, each of the 12 selected states were not in harmony with the THWC for some of the items such as meals and lodging, dependent care, sick pay, cafeteria plans and sick pay after six months. Lack of harmonization of these specific items was a secondary criterion for selecting states.
Six states were unable to participate; the principal reason given was that their tax and/or benefit accounting systems were in the process of change to new or upgraded systems. Another was eliminated after the site visit and focus group were conducted because of time and commitment constraints. Ultimately, five states provided comprehensive data for the study: California, Georgia, Minnesota, Montana and Pennsylvania.
We used focus groups of small businesses owners, payroll preparation personnel, CPAs and other payroll practitioners and site interviews of SESA administrators as a method to obtain qualitative input on tax and wage reporting in general, as well as to gauge the impact of the proposed THWC on small businesses. The objective was to elicit opinions on what they perceive to be burdensome in the existing process; suggestions for simplification; advantages and disadvantages of adopting the proposed THWC; and additional components to be considered for inclusion. In focus groups, people can discuss existing concepts, be introduced to changes to existing concepts or proposed new concepts, and given an opportunity to express how they feel and what they think in a normal, conversational setting.
We specified the number and types of participants we needed and the focus group coordinators identified the appropriate set of potential participants and took care of the logistics. A participant's suitability for the study was determined by using a screening questionnaire. We obtained a good cross-section of study participants - predominantly small business owners in restaurant and retail services, building maintenance engineers and apartment managers, proprietors mostly in service industries who do their own payroll and reporting, CPAs and payroll preparation staff. Each session had 10 to 12 participants. The majority were owners or managers of small businesses. One of our team members was present at each session to provide information on an as needed basis on specific tax-related issues. The sessions were guided by an outside moderator, and usually lasted about two hours. For sake of consistency, the same protocol was followed in all sessions. Between August 2000 and March 2001, the focus groups were conducted in Los Angeles, California; Atlanta, Georgia; Baltimore, Maryland; Minneapolis, Minnesota; and Austin, Texas on payroll reporting in general and about the THWC specifically.
The process of reporting tax and wages is tedious and complicated to most small employers. Numerous and complicated forms, reporting to multiple entities, and different reporting periods create an intimidating process for all but the most seasoned small business employer. One participant says "burden is the first word that comes to my mind when I think of the reporting process. It's something that can be learnable by someone like me...[but] I don't want to take time to learn how to do all this other stuff...it can be somewhat intimidating toward growing the business because the more entities you have to deal with...the more time you're going to have to spend doing all of that...and you have to pay someone... to come out to do it...then to top that off, you have to keep up with all the different laws and all the other crap they put out...so [it's a] big time burden."
Many report that the level of complexity and detail is too much. One participant adds, "I think after you have done it for many years, it's like, you know what you're doing. You get in there and you do it. But if you are just starting out, it's a definite headache." Another echoed her concern saying, "to me it's complicated." When asked what is complicated, a number of them say that overall the process is daunting.
Small business owners find themselves spending time away from their business in order to report their taxes and wages correctly. There are too many laws to keep up with, many of which change frequently and there is the need to remember to report on time. One participant describes what works for him saying, "I have to put [and] keep reminders in my computer to pop up every month or every quarter because I have some things- my sales tax is due semi-annually, I pay my payroll taxes monthly, my federal income tax is quarterly, state unemployment is quarterly, and of course at the end of the year, it is really ugly. Because then you've got the W-2's and the W-3's to put in addition to the quarterly things that are due at the end, or the year end in January." Another employer from Austin agrees, saying "it's time consuming, it doesn't make money for your company. It doesn't reward your employees. It doesn't show profit. It's just time consuming paperwork."
Some participants are concerned with making mistakes when filing their tax and wage reports. One participant from Austin says, "if you do make a mistake it's the dam'dist thing to try and fix with the government... You can't talk to anybody to ever get an answer because you called the IRS line to try to get help and you get a recording and the recording takes you to Never-never Land unless you're willing to wait for a couple of hours...and then they won't do anything until you make some new paperwork and send it to them on the day they would like it." Another participant from Atlanta says, "my fear would be that, say I've made an error in calculating something, like Unemployment tax rate or something that is Department of Labor...will I now all of a sudden be under such penalties, under such scrutiny from so many various agencies."
Reporting forms and accompanying instructions are intimidating to the point that employers engage accountants and payroll preparation services. Approximately one third of the focus group participants used payroll services. The other two thirds prepare their own payrolls and reports that it takes them about 5 to ten hours per month to report tax and wage information. They state that the current system is acceptable once you take time to become familiar with it. Most of those who do their own reporting use a small business accounting software package. They don't use an outside service because of the cost of using a payroll service, or it is not necessary due to the small size of their business.
A significant number of employers report a high level of dissatisfaction with payroll companies, such as multiple errors in processing payrolls, problems in solving the errors and expense incurred. One participant from Los Angeles reflected, "one of my employees this week got paid twice...he opened up his paycheck and it was double." Another said, "they were messing up my taxes and I was getting letters from the IRS. My concern with them was, if I wanted it messed up, I could do that myself and not pay [them]."
However, for those who use outside services, the simplicity of the payroll service is still attractive. As an employer in Austin states, "[payroll] is easy for us, like I said, we just punch the number in and Federal Express brings the checks the next morning." A participant from Los Angeles said, "[payroll services] took some of my load off...it was a lot easier [than] doing everything by the seat of my pants." Another participant who now uses an accountant agrees saying, "it [payroll services] took a load off for a very short time that we used it, but we got...an accountant to deal with it from there." The majority of employers, whether they do their payroll reporting or rely on a payroll company or an accountant, agree that the current reporting process needs an immediate and thorough update.
Suggestions include a reduction of repetitive forms, fewer reporting periods, integrating the forms into one schedule, and a user-friendly streamlined reporting procedure. Others wish for a simple flat tax that would take some mystery out of wage and tax reporting.
There is a call to establish a central reporting agency. One participant from Los Angeles says, "the fact that I have to send four different agencies every quarter is a real pain in the neck...I'd like to go to one place...[or] if I could do it electronically and just get it to all four agencies at the snap of a button..." One employer wishes for the following scenario: "I think it should all be put into one pot and let everybody collect their own." Another participant from Austin asks, "let's say I sent my taxes, $1,000 to one agency...can't [they] put a percentage on what each agency get[s] and just dispense the money?' This theme is common throughout. The small business owners are looking for a reasonable path to follow in reporting their employees' wages and taxes to government. "I can't see why that's too complicated" one business owner complained.
Participants were aware of vacation and sick pay, tips, business expense reimbursement, cafeteria plans, and health and group life insurance but unaware of the differing tax treatments and reporting requirements. Most were unaware of the remaining components of the THWC. Some question what items are included in the definition of income and what are not. According to the owner of a small restaurant, "We keep track of what our people eat but I don't think we ever figure on any kind of monetary value for that necessarily." A participant from Austin says, "the way it is down there, there's real high turnover. So if you have three cooks didn't show and one cook is there we allow him to eat whatever the hell he wants just to keep him there."
When the differential tax treatment for lodging was discussed, one participant from Los Angeles says, "you know as far as the reporting of the free apartment is concerned...I never knew it was a big deal." Another adds, "I've worked 50-70 properties in my lifetime, never has this been an issue...not one person has ever gotten different wages on Social Security wages and ...wages based for state unemployment...this is a total non-issue. If you want to make it the same, go right ahead, but I'm telling you it's not going to make a lick of difference to me as an employer." Employers are probably not reporting when they should be, however, they were also not unduly concerned with the burden of tracking the different components of wages for federal and state requirements.
The majority feels that any method proposed to simplify the reporting process for employers should not have negative effects on their workers. A participant from Los Angeles says, "If it weren't for the side issue of the unemployment benefits I don't think anybody would have an argument with this." The reduction or loss of unemployment insurance benefits for low-wage workers was a major concern to the majority. An employer from Atlanta feels very strongly about this stating, "I have a major problem with that. [It] seems like they are the ones who need the help the most and they are the ones out trying and they may be penalized."
Some were of the opinion that there should be a better standard to calculate benefits if the federal and state definitions of wage components are harmonized. A participant from Austin states, "I think if you pay into something, you should get something back, it shouldn't be to a point where there is [a] minimum that you pay in and you don't get the check for some reason...I don't agree with that." For those who fall below the minimum requirement, participants suggested a minimum level of benefits regardless of the time worked or salary earned. One employer from Baltimore said, "There should be a minimum amount of money that every person will get. The majority if they are unemployed and you can't go below that. That's apples. What we are talking about here is reporting, and that's oranges."
Participants believe that the concept of the THWC is a good step towards simplification and it is welcomed by most. Many believe that the government cannot simplify the current system, and any government involvement makes the process more complicated and more bureaucratic. One participant from Austin says, "anytime they simplify they made it more complicated." Another asks, "Why do we want to do this? It can't possibly be to make our lives easier...seriously there's got to be another underlying reason."
Some employers feel skeptical on how effective these efforts will be. An employer from Atlanta says, "I'm a little skeptical of it just from whenever I hear tax simplification...it doesn't seem to get much simpler." Another agrees saying, "you can wish all you want, but it's not going to be any simpler, it's only going to become more complicated." An employer from Los Angeles is convinced that the government is not here to help small business, but rather they have other intentions.
A smaller group of employers believed that the benefits of harmonization might outweigh the potential reduction in benefits to unemployment insurance claimants. An employer from Baltimore says, "If it saves us time, it saves us money." An employer from Austin says, "here you're saying that there is a potential drawback...there's also a bunch of places where there is potential improvements on the system because of this." An employer from Austin sums it up stating, "anything you do is going to have a plus and a minus...it's just physics right? Typically someone has to pay the price."
Everyone is in favor of reporting simplification, but look upon the harmonization of wage definitions as being of little value in reducing the employer reporting burden when compared to other wage and tax issues such as variances in sales tax reporting requirements, complications in tip reporting rules, severity of penalties for late payment of taxes, difficulty in communicating with the government offices, and distinguishing between employees and independent contractors.
Employer suggestions for improvement
Following are suggestions that emerged from the focus groups for simplification and improving the current reporting system:
Legislative staff in the nine State Workforce Agencies we visited were unanimous in the opinion that if a state is asked to change the way a component is currently reported for UI tax purposes, if the removal or inclusion of the wage component results in any significant reduction in benefits for individuals by income class and/or occupational category, it is extremely unlikely that state legislatures would adopt the THWC. Achieving and maintaining harmonization may not be easy. Because of political considerations; jurisdictions may have different views about some of the components and not legislate conformity to them, and SESA departmental and legislative environments may vary over time.
State agency personnel do not regard the harmonization of tax and wage related definitions to be an issue; almost universally, they do not recall these differing definitions to be an agenda item for small business constituencies seeking system improvements. Small employers probably ignore or are ignorant of the differing tax treatments between federal employment tax laws and State Unemployment Insurance laws and probably lump wages together without really distinguishing between them.
The HWC database shows for each state, the number of proposed THWC items where gross wages reported for UI purposes are different from those reported for FUTA and FICA. The data are current and accurate.
State personnel agreed with the primary goal of the HWC Project to reduce employer burden and promote government efficiency. However, these recommendations appear to be addressed to large multi-state employers and accounting and payroll providers, and do not support the majority of small employers' filing and payment needs. Most small employers conduct business only in one state.
Harmonization with the THWC was apparently not one of their priorities and no one offered suggestions on additional components to the THWC. Burden reduction was being achieved by simplifying and consolidating wage reporting forms, joint registration, common ID numbers, and providing employers alternative reporting mediums to file wage information (diskettes, greater use of the Internet for filing required reports).
The data for this study was gathered from two sources: payroll data was provided by a payroll processor and state-specific employer wage record information and UI claimant data were provided by state UI agencies.
The sample payroll data file from the payroll company contained:
The sample wage file contained wage records for the second quarter of 1999 (April-June) organized by SUI Employer ID, employee Social Security Number, dollar value of THWC components and gross wages. Each record represented payments made by an employer to an employee in that quarter. The list of employer SUI identifiers was sent to each state participating in the study to match against their universe. Some of the data elements in the sample file were verified, modified, and/or approximated with the help of UI tax personnel. The size of the employer and the Standard Industrial Classification Codes (SIC) were added to the payroll data file and the data for each state was sorted by 4 digit SIC code and by size of employer. From that point on, all specific identification was removed.
The data files from each participating state contained:
The data files were extremely large and presented some difficulty in assembly. In the interest of avoiding any expansion of the file, with attendant burdens on the cooperating states, several broad assumptions were made to expedite these analyses with the expectation that the assumptions would not materially affect the ultimate outcomes.
The first assumption related to the assignment of a worker to a specific employer. Knowing that a worker could have more than one employer in the course of a year and that these multiple employers could be in different industries, an assumption was made to identify or assign the worker to his or her last employer in the year. Thus any reduction in UI taxes was assigned to the last employer where in reality some of the reduction might be assignable to a prior employer.
Another assumption related to workers' annual earnings and the resultant WBA. In most cases, one of the components of the WBA calculations is worker earnings in the high earnings quarter of the year. To ask that the states' wage file be detailed by quarter would have quadrupled the database, if it were obtainable at all. Instead, high quarter earnings were assumed to be one-quarter of annual earnings. It should be recognized that this was a conservative approach to the issue inasmuch as the use of understated high quarter earnings would tend to understate a WBA.
The method of developing the model for predicting the impact of the THWC on UI benefits and on UI tax revenues is explained below.
The impact of the THWC on revenues would be the difference between UI taxes collected under the current law and the taxes collected if the items under consideration were excluded. The amount of UI taxes currently collected is known. The amount of UI taxes to be collected under the THWC scenario was estimated as follows:
The application of the ratios of the components of the sample payroll data to the wage file for the universe was tailored to the state being studied. This was necessary to reflect the annual taxable wage base limit involved. Specifically, if the value of the occurrence were applied to a worker whose wage scale was within the annual taxable wage base, then the result would affect the employer's UI tax liability. Conversely, if such value exceeded the annual taxable wage base, it would have no effect on the employer's UI tax liability.
The impact of the THWC on benefits involved a similar set of calculations. The payroll data were again used to estimate parameters that describe the expected impact of each item on wages. The annual value of each THWC component derived from the payroll sample was converted to a WBA in keeping with the state's principal method of computation. As the wage components represent reductions in gross wages, the conversion represented a potential reduction in an individual's WBA. For each individual in the UI claimant file, an adjustment to the WBA was made based on the estimated parameters determined by the payroll sampling. The total estimated benefits paid are the sum of all of the adjusted WBAs in the UI claimant file. The total estimated benefits paid were compared to the actual benefits paid for the time period covered by the data to determine the expected impact of the THWC on claimants. A more detailed description of the estimation process is in appendix 3.
The California SUI statute does not include the meals and lodging exclusion provision and considers all meals and lodging as wages subject to the SUI tax and includible in the calculation of UI benefits. The THWC recommendation is to adopt the provision to exclude from wages meals and lodging that it is reasonable to believe are excludable from Section 119 of the Internal Revenue Code.
Impact on SUI Revenue
The SUI definition of taxable wages is also used in the state's Disability Insurance Program. Thus, a decrease in revenue would occur in that program as well, although no attempt has been made to quantify any such impact.
As shown in Table 4.1 Revenue Loss by Industry, the total UI revenue collected in 1999 was $2.7 billion. The estimated revenue loss due to the THWC would be $5.1 million, or 0.2% of the $2.7 billion collected. It should be noted here that the SUI system is used to assess and collect the state's Employment and Training Tax. The annual loss of revenue associated with this tax is estimated to be $65,000. Additionally, it should also be noted that with the state's taxable wage base set at $7,000, fully 60% of the reduction in taxable wages associated with the exclusion of this wage component is above this base and would have no impact on revenue.
|
Industry Groups |
Revenue Loss |
|
|
Construction |
$ 363,428 |
|
|
Manufacturing |
$ 76,361 |
|
|
Transportation |
$ 6,607 |
|
|
Wholesale |
$ 3,929 |
|
|
Retail |
$ 127,882 |
|
|
Finance |
$ 4,210,795 |
|
|
Services |
$ 343,511 |
|
|
Total Revenue Loss |
$ 5,132,513 |
|
|
Total Revenue Collected |
$ 2,728,141,316 |
|
|
Percentage Reduction |
0.2% |
|
Table 4.1A Impact of TWHC Component by Sector, shown below, shows the impact of the exclusion of the meals and lodging component by sector and by salary level.
Construction
|
Worker Salary Levels |
||||||
|
$1 to $7,000 |
$7,000 to $9,000 |
over $9,000 |
||||
|
No. of Wage Records in Universe |
1,396,565 |
80,775 |
415,640 |
|||
|
No. of Wage Records in Sample |
1,668 |
423 |
22,932 |
|||
|
Percent of Sample to Universe |
0.1% |
0.5% |
5.5% |
|||
|
No. of Wage Records with Component |
25 |
3 |
32 |
|||
|
Percent of Affected Wage Records in Sample |
1.5% |
0.7% |
0.1% |
|||
|
Average value of each occurrence in Sample |
$ 445 |
$ 1,486 |
$ 5,142 |
|||
|
No. of Wage Records Affected in Universe |
20,932 |
573 |
580 |
|||
|
Reduction in taxable wages |
$ 9,314,620 |
$ 851,288 |
$ 2,982,342 |
|||
|
Average tax rate |
3.59% |
3.59% |
- |
|||
|
Average tax rate x Reduction |
$ 334,395 |
$ 30,561 |
- |
|||
|
Revenue loss |
$ 334,395 |
$ 29,033* |
||||
|
Industry Total Loss |
$ 363,428 |
|||||
*Partial loss from Wages falling under the Taxable Wage Base
Manufacturing
|
Worker Salary Levels |
||||||
|
$1 to $7,000 |
$7,000 to $9,000 |
over $9,000 |
||||
|
No. of Wage Records in Universe |
778,223 |
115,454 |
1,933,227 |
|||
|
No. of Wage Records in Sample |
1,857 |
563 |
22,932 |
|||
|
Percent of Sample to Universe |
0.2% |
0.5% |
1.2% |
|||
|
No. of Wage Records with Component |
36 |
2 |
32 |
|||
|
Percent of Affected Wage Records in Sample |
1.9% |
0.4% |
0.1% |
|||
|
Average value of each occurrence in Sample |
$ 171 |
$ 194 |
$ 597 |
|||
|
No. of Wage Records Affected in Universe |
15,087 |
410 |
2,698 |
|||
|
Reduction in taxable wages |
$ 2,579,828 |
$ 79,567 |
$ 1,610,517 |
|||
|
Average tax rate |
2.88% |
2.88% |
- |
|||
|
Average tax rate x Reduction |
$ 74,299 |
$ 2,292 |
- |
|||
|
Revenue loss |
$ 74,299 |
$ 2,062* |
||||
|
Industry Total Loss |
$ 76,361 |
|||||
*Partial loss from Wages falling under the Taxable Wage Base
Transportation
|
Worker Salary Levels |
||||||
|
$1 to $7,000 |
$7,000 to $9,000 |
over $9,000 |
||||
|
No. of Wage Records in Universe |
362,647 |
44,929 |
676,054 |
|||
|
No. of Wage Records in Sample |
1,269 |
295 |
5,107 |
|||
|
Percent of Sample to Universe |
0.3% |
0.7% |
0.8% |
|||
|
No. of Wage Records with Component |
1 |
0 |
21 |
|||
|
Percent of Affected Wage Records in Sample |
0.1% |
0.0% |
0.4% |
|||
|
Average value of each occurrence in Sample |
$ 800 |
$ - |
$ 4,967 |
|||
|
No. of Wage Records Affected in Universe |
286 |
0 |
2,780 |
|||
|
Reduction in taxable wages |
$ 228,619 |
$ - |
$ 13,807,943 |
|||
|
Average tax rate |
2.89% |
2.89% |
- |
|||
|
Average tax rate x Reduction |
$ 6,607 |
$ - |
- |
|||
|
Revenue loss |
$ 6,607 |
$ - |
||||
|
Industry Total Loss |
$ 6,607 |
|||||
Wholesale
|
Worker Salary Levels |
||||||
|
$1 to $7,000 |
$7,000 to $9,000 |
over $9,000 |
||||
|
No. of Wage Records in Universe |
379,953 |
53,159 |
775,902 |
|||
|
No. of Wage Records in Sample |
0 |
393 |
18,733 |
|||
|
Percent of Sample to Universe |
0.0% |
0.7% |
2.4% |
|||
|
No. of Wage Records with Component |
0 |
3 |
30 |
|||
|
Percent of Affected Wage Records in Sample |
- |
0.8% |
0.2% |
|||
|
Average value of each occurrence in Sample |
- |
$ 380 |
$ 1,672 |
|||
|
No. of Wage Records Affected in Universe |
- |
406 |
1,243 |
|||
|
Reduction in taxable wages |
- |
$ 154,202 |
$ 2,077,577 |
|||
|
Average tax rate |
2.66% |
2.66% |
- |
|||
|
Average tax rate x Reduction |
- |
$ 4,102 |
- |
|||
|
Revenue loss |
- |
$ 3,929* |
||||
|
Industry Total Loss |
$ 3,929 |
|||||
*Partial loss from Wages falling under the Taxable Wage Base
Retail
|
Worker Salary Levels |
||||||
|
$1 to $7,000 |
$7,000 to $9,000 |
over $9,000 |
||||
|
No. of Wage Records in Universe |
2,923,233 |
247,923 |
1,468,446 |
|||
|
No. of Wage Records in Sample |
0 |
2,342 |
22,055 |
|||
|
Percent of Sample to Universe |
0.0% |
0.9% |
1.5% |
|||
|
No. of Wage Records with Component |
0 |
271 |
2,220 |
|||
|
Percent of Affected Wage Records in Sample |
- |
11.6% |
10.1% |
|||
|
Average value of each occurrence in Sample |
- |
$ 351 |
$ 618 |
|||
|
No. of Wage Records Affected in Universe |
- |
28,688 |
147,810 |
|||
|
Reduction in taxable wages |
- |
$ 10,069,464 |
$ 91,346,596 |
|||
|
Average tax rate |
2.54% |
2.54% |
- |
|||
|
Average tax rate x Reduction |
- |
$ 255,764 |
- |
|||
|
Revenue loss |
- |
$ 127,882* |
||||
|
Industry Total Loss |
$ 127,882 |
|||||
*Partial loss from Wages falling under the Taxable Wage Base
Finance
|
Worker Salary Levels |
||||||
|
$1 to $7,000 |
$7,000 to $9,000 |
over $9,000 |
||||
|
No. of Wage Records in Universe |
379,447 |
54,413 |
798,229 |
|||
|
No. of Wage Records in Sample |
0 |
149 |
893 |
|||
|
Percent of Sample to Universe |
0.0% |
0.8% |
1.7% |
|||
|
No. of Wage Records with Component |
0 |
149 |
893 |
|||
|
Percent of Affected Wage Records in Sample |
- |
32.9% |
6.6% |
|||
|
Average value of each occurrence in Sample |
- |
$ 4,402 |
$ 5,010 |
|||
|
No. of Wage Records Affected in Universe |
- |
17,897 |
52,599 |
|||
|
Reduction in taxable wages |
- |
$ 78,782,594 |
$ 263,519,825 |
|||
|
Average tax rate |
5,51% |
5,51% |
- |
|||
|
Average tax rate x Reduction |
- |
$ 4,341,026 |
- |
|||
|
Revenue loss |
- |
$ 4,210,795* |
||||
|
Industry Total Loss |
$ 4,210,795 |
|||||
*Partial loss from Wages falling under the Taxable Wage Base
Services
|
Worker Salary Levels |
||||||
|
MEALS AND LODGING |
$1 to $7,000 |
$7,000 to $9,000 |
over $9,000 |
|||
|
SERVICES |
||||||
|
No. of Wage Records in Universe |
4,850,944 |
398,294 |
3,522,720 |
|||
|
No. of Wage Records in Sample |
0 |
2,452 |
75,130 |
|||
|
Percent of Sample to Universe |
0.0% |
0.6% |
2.1% |
|||
|
No. of Wage Records with Component |
0 |
80 |
783 |
|||
|
Percent of Affected Wage Records in Sample |
- |
3.3% |
1.0% |
|||
|
Average value of each occurrence in Sample |
- |
$ 1,674 |
$ 4,024 |
|||
|
No. of Wage Records Affected in Universe |
- |
12,995 |
36,714 |
|||
|
Reduction in taxable wages |
- |
$ 21,753,480 |
$147,735,365 |
|||
|
Average tax rate |
2.79% |
2.79% |
- |
|||
|
Average tax rate x Reduction |
- |
$ 606,922 |
- |
|||
|
Revenue loss |
- |
$ 343,511* |
||||
|
Industry Total Loss |
$ 343,511 |
|||||
*Partial loss from Wages falling under the Taxable Wage Base
Impact on SUI Benefits
As indicated in table 4.2A Total Benefit Reduction, the exclusion of meals and lodging from the calculation of claimants' benefits reduces annual benefit outlays by an estimated $3.7 million, or 0.2% of the total annual outlay of $2.0 billion.
About 7600 claimants, or 1% of the claimant population, would experience WBA reductions averaging $23 per week, or $487 over the 21-week average duration of the claims. While this reduction is about 0.2% of the total benefit outlay, it represents almost a 20% reduction for the 7600 affected claimants. Additionally, 660 claimants, or 0.1% of the claimant population would lose their eligibility entirely.
|
Industry Group |
Claims |
Affected Claims |
Claims Affected % |
WBA Reduction |
Average Duration |
Total Benefit Paid |
Total Benefit Reduction |
Benefit Reduction to Total Benefit Paid |
|
Agriculture |
156,864 |
0 |
0% |
$0 |
18 |
$364,509,391 |
$0 |
0% |
|
Mining |
2,010 |
0 |
0% |
$0 |
21 |
$5,684,345 |
$0 |
0% |
|
Construction |
85,992 |
225 |
0.3% |
$19 |
20 |
$206,657,744 |
$85,820 |
0.04% |
|
Manufacturing |
146,248 |
189 |
0.1% |
$22 |
21 |
$402,663,591 |
$86,163 |
0.02% |
|
Transportation |
36,376 |
531 |
1% |
$18 |
21 |
$93,057,837 |
$199,647 |
0.21% |
|
Wholesale |
41,535 |
346 |
1% |
$23 |
21 |
$109,862,217 |
$169,239 |
0.15% |
|
Retail |
90,370 |
4,188 |
5% |
$16 |
20 |
$175,725,135 |
$1,364,080 |
0.78% |
|
Finance |
38,355 |
565 |
1% |
$95 |
22 |
$113,564,175 |
$1,182,676 |
1.04% |
|
Services |
239,189 |
1,579 |
1% |
$18 |
20 |
$565,142,019 |
$574,260 |
0.10% |
|
Total |
836,939 |
7,623 |
1% |
$23 |
21 |
$2,036,866,454 |
$3,709,335 |
0.18% |
|
Lost all Benefits |
660 |
0.1% |
|
Industry Group |
Claims |
Affected Claims |
Claims Affected % |
WBA Reduction |
Average Duration |
Total Benefit Reduction |
|
Agriculture |
131,220 |
0 |
0% |
$0 |
18 |
$0 |
|
Mining |
1,582 |
0 |
0% |
$0 |
21 |
$0 |
|
Construction |
59,313 |
146 |
0% |
$19 |
20 |
$55,860 |
|
Manufacturing |
128,007 |
189 |
0% |
$22 |
21 |
$86,163 |
|
Transportation |
29,436 |
451 |
2% |
$18 |
21 |
$173,460 |
|
Wholesale |
29,728 |
332 |
1% |
$24 |
21 |
$165,963 |
|
Retail |
69,928 |
3,391 |
5% |
$16 |
20 |
$1,117,960 |
|
Finance |
30,608 |
424 |
1% |
$99 |
22 |
$924,132 |
|
Services |
189,134 |
1,288 |
1% |
$17 |
20 |
$448,440 |
|
Total |
668,956 |
6,221 |
1% |
$23 |
21 |
$3,011,085 |
|
Lost all Benefits |
529 |
0.1% |
|
Industry Group |
Claims |
Affected Claims |
Claims Affected % |
WBA Reduction |
Average Duration |
Total Benefit Reduction |
|
Agriculture |
25,644 |
0 |
0% |
$0 |
18 |
$0 |
|
Mining |
428 |
0 |
0% |
$0 |
21 |
$0 |
|
Construction |
26,679 |
79 |
0% |
$19 |
20 |
$29,960 |
|
Manufacturing |
18,241 |
0 |
0% |
$0 |
21 |
$0 |
|
Transportation |
6,940 |
80 |
1% |
$16 |
21 |
$26,187 |
|
Wholesale |
11,807 |
14 |
0% |
$11 |
21 |
$3,276 |
|
Retail |
20,442 |
797 |
4% |
$15 |
20 |
$246,120 |
|
Finance |
7,747 |
141 |
2% |
$83 |
22 |
$258,544 |
|
Services |
50,055 |
291 |
1% |
$22 |
20 |
$125,820 |
|
Total |
167,983 |
1,402 |
1% |
$24 |
21 |
$698,250 |
|
Lost all Benefits |
131 |
0.08% |
The distribution of the claimant population between large and small employers is 80% and 20%, respectively. This is substantially the same distribution as the overall reduction in benefits. The distribution of the reduction in benefits is greatest in retail and finance sectors. While these two industries account for 15% of the total benefits paid, their share of the benefit reductions would be in excess of 72%. These variations are attributable to the hospitality and restaurant industries, which generally provide meals to their employees, and the real estate industry, which provides apartment rentals to building superintendents at reduced or no cost.
No attempt was made to adjust these findings for the value of any meals or lodgings that might not meet the "convenience of the employer" requirement. Although no data are currently available for these components, based on interviews with UI administrators, it is believed that they would be relatively infrequent and would not significantly alter the results stated above.
The recommendations of the THWC are to adopt provisions that meals and lodging and dependent care assistance program payments be excluded from wages. Each of these components is treated as wages under Georgia's UI statute, i.e., there is no exclusion.
Impact on SUI Revenues
The following tables display the impact of the THWC recommendations on annual SUI revenues, using calendar year 1999 data. As shown in Table 4.3 Revenue Loss by Industry, the total revenue collected in 1999 was $122.8 million. The estimated loss of revenue due to the THWC is insignificant ($1,787).
|
Industry Groups |
Revenue Loss |
|
|
Retail |
$ 1,787 |
|
|
Total Revenue Loss |
$ 1,787 |
|
|
Total Revenue Collected |
$ 122,841,254 |
|
|
Percentage Reduction |
0.001% |
|
Table 4.3A Impact of TWHC Component by Sector shows the impact on of the exclusion of the meals and lodging component in the retail sector by salary level. The major portion of the impact of meals and lodging component, over 90% of the total reduction in taxable wages, occurs among workers earning over $8,500 thus having no impact on revenues. The remaining reduction occurring among workers earning $8,500 per year or less produces an annual reduction in revenues of $1,787 or 0.001% of the annual revenue of $122.8 million. The state of Georgia levies an Administrative Assessment in conjunction with the SUI tax. However, the rate is such that its application to the resultant reduction in taxable wages would be negligible.
Retail (Meals &Lodging)
|
Worker Salary Levels |
||||||
|
$1 to $8,500 |
$8,500 to $10,500 |
over $10,500 |
||||
|
No. of Wage Records in Universe |
1,198,206 |
55,779 |
312,574 |
|||
|
No. of Wage Records in Sample |
21,936 |
571 |
9,902 |
|||
|
Percent of Sample to Universe |
1.8% |
1.0% |
3.2% |
|||
|
No of Wage Records with Component |
11 |
0 |
0 |
|||
|
Percent of Affected Wage Records in Sample |
0.05% |
0.00% |
0.00% |
|||
|
Average value of each occurrence in Sample |
$ 313 |
$ - |
$ 2,488 |
|||
|
No. of Wage Records Affected in Universe |
601 |
0 |
0 |
|||
|
Reduction in taxable wages |
$ 188,066 |
$ - |
$ - |
|||
|
Average tax rate |
0.95% |
0.95% |
- |
|||
|
Average tax rate x Reduction |
$ 1,787 |
$ - |
$ - |
|||
|
Revenue loss |
$ 1,787 |
$ - |
||||
|
Industry Total Loss |
$ 1,787 |
|||||
The available data suggests that the exclusion of dependent care payment occurs principally among workers earning over $10,500 per year. As the state's taxable wage base is $8,500 per year, these occurrences have no impact on annual revenues. More than 25,000 wage records for workers earning $8,500 or less per year were examined and none were identified as having participation in the dependent care program. No single reason for this has been identified except that it is likely that this benefit may generally be included in regular cafeteria plan arrangements or is too costly for workers at this wage level.
Impact on SUI Benefits
As indicated in Table 4.4A, the adoption of the THWC recommendations reduces claimant benefits by $425,000 or 0.15% of the total annual benefit outlay of $290 million. Additionally, the THWC proposal to exclude meals and lodging and dependent care from taxable wages would result in 39 claimants losing their eligibility, as their earnings would decline below the minimum required to be eligible for benefits.
|
Industry Group |
Claims |
Affected Claims |
Claims Affected % |
WBA Reduction |
Average Duration |
Total Benefit Paid |
Total Benefit Reduction |
Benefit Reduction to Total Benefit Paid |
|
Agriculture |
718 |
0 |
0% |
$0 |
18 |
$2,441,184 |
$0 |
0% |
|
Mining |
1,263 |
0 |
0% |
$0 |
21 |
$381,851 |
$0 |
0% |
|
Construction |
9,910 |
0 |
0% |
$0 |
20 |
$30,036,493 |
$0 |
0% |
|
Manufacturing |
58,055 |
0 |
0% |
$0 |
21 |
$94,266,912 |
$0 |
0% |
|
Transportation |
4,086 |
0 |
0% |
$0 |
21 |
$13,227,461 |
$0 |
0% |
|
Wholesale |
5,845 |
169 |
3% |
$14 |
21 |
$19,224,276 |
$49,980 |
0.26% |
|
Retail |
12,174 |
120 |
1% |
$13 |
20 |
$23,829,911 |
$30,140 |
0.13% |
|
Finance |
3,217 |
21 |
1% |
$42 |
22 |
$13,178,408 |
$19,426 |
0.15% |
|
Services |
26,429 |
1,184 |
4% |
$13 |
20 |
$72,850,951 |
$309,460 |
0.42% |
|
Public A. |
1,389 |
0 |
0% |
$0 |
20 |
$3,856,008 |
$0 |
0% |
|
Non Classifiable |
4,276 |
0 |
0% |
$0 |
21 |
$16,897,392 |
$0 |
0% |
|
Total |
127,362 |
1,494 |
1% |
$14 |
21 |
$290,190,847 |
$425,103 |
0.15% |
|
Lost all Benefits |
39 |
0.03% |
The distribution of the claimant population between large and small employers is 87% and 13%, respectively. The distribution of the reduction in benefits by sector between large and small employers and industries is shown in Tables 4.4B and C. The distribution of the total benefit reduction is 91% and 9% respectively. The reduction in benefits is greatest in the services industry. While 24% of all benefits were paid to workers in this industry, they account for 72% of the benefit reductions.
|
Industry Group |
Claims |
Affected Claims |
Claims Affected % |
WBA Reduction |
Average Duration |
Total Benefit Reduction |
|
Agriculture |
170 |
0 |
0% |
$0 |
18 |
$0 |
|
Mining |
904 |
0 |
0% |
$0 |
21 |
$0 |
|
Construction |
7,790 |
0 |
0% |
$0 |
20 |
$0 |
|
Manufacturing |
55,148 |
0 |
0% |
$0 |
21 |
$0 |
|
Transportation |
3,275 |
0 |
0% |
$0 |
21 |
$0 |
|
Wholesale |
4,271 |
130 |
3% |
$15 |
21 |
$41,223 |
|
Retail |
9,414 |
90 |
1% |
$14 |
20 |
$25,800 |
|
Finance |
2,290 |
14 |
1% |
$46 |
22 |
$14,146 |
|
Services |
21,448 |
1,002 |
5% |
$13 |
20 |
$256,320 |
|
Public A. |
1,358 |
0 |
0% |
$0 |
20 |
$0 |
|
Non Classifiable |
4,079 |
0 |
0% |
$0 |
21 |
$0 |
|
Total |
110,147 |
1,236 |
1% |
$14 |
21 |
$350,952 |
|
Lost all Benefits |
36 |
0.03% |
|
Industry Group |
Claims |
Affected Claims |
Claims Affected % |
WBA Reduction |
Average Duration |
Total Benefit Reduction |
|
Agriculture |
548 |
0 |
0% |
$0 |
18 |
$0 |
|
Mining |
359 |
0 |
0% |
$0 |
21 |
$0 |
|
Construction |
2,120 |
0 |
0% |
$0 |
20 |
$0 |
|
Manufacturing |
2,907 |
0 |
0% |
$0 |
21 |
$0 |
|
Transportation |
811 |
0 |
0% |
$0 |
21 |
$0 |
|
Wholesale |
1,574 |
39 |
2% |
$11 |
21 |
$8,757 |
|
Retail |
2,760 |
30 |
1% |
$7 |
20 |
$4,340 |
|
Finance |
927 |
7 |
1% |
$34 |
22 |
$5,280 |
|
Services |
4,981 |
182 |
4% |
$15 |
20 |
$53,140 |
|
Public A. |
31 |
0 |
0% |
$0 |
20 |
$0 |
|
Non Classifiable |
197 |
0 |
0% |
$0 |
21 |
$0 |
|
Total |
17,215 |
258 |
1% |
$14 |
21 |
$74,151 |
|
Lost all Benefits |
3 |
0.02% |
The THWC recommendations are to adopt the following provisions in the determination of taxable wages:
These four components currently are wholly or partially treated as wages under the Minnesota SUI law.
Impact on SUI Revenues
Table 4.5 Revenue Loss by Industry displays the impacts of the four components on annual SUI revenues on retail, finance, services and construction industries using calendar year 1999 data. The total revenue collected in 1999 was $367 million. The overall annual revenue loss due to the THWC is estimated to be $191,000, or 0.05% of the $367 million collected. The major portion of the meals and lodging exclusion falls on the finance industry. This is attributable in large measure to the value of free or reduced housing provided to apartment building superintendents. Also, because the taxable wage base is $18,100, well over half of the calculated exclusion results in lost revenue, in this case $191,000 or about 0.05% of annual revenues. The remaining industries do not show any significant reductions in revenue.
|
Industry Groups |
Revenue Loss |
|
|
Construction |
$ 7,101 |
|
|
Retail |
$ 692 |
|
|
Finance |
$ 180,834 |
|
|
Services |
$ 2,638 |
|
|
Total Revenue Loss |
$ 191,265 |
|
|
Total Revenue Collected |
$ 367,000,000 |
|
|
Percentage Reduction |
0.1% |
|
Table 4.5A shows the impact of the exclusion of the THWC components by sector by salary level.
Retail (Meals &Lodging)
|
Worker Salary Levels |
|||||||
|
$1 to $18,100 |
$18,100 to $20,100 |
over $20,1000 |
|||||
|
No. of Wage Records in Universe |
401,641 |
15,820 |
124,785 |
||||
|
No. of Wage Records in Sample |
5,212 |
260 |
2,309 |
||||
|
Percent of Sample to Universe |
1.3% |
1.6% |
1.9% |
||||
|
No. of Wage Records with Component |
8 |
0 |
0 |
||||
|
Percent of Affected Wage Records in Sample |
0.2% |
0.0% |
0.0% |
||||
|
Average value of each occurrence in Sample |
$ 187 |
$ 1,486 |
$ 5,142 |
||||
|
No. of Wage Records Affected in Universe |
616 |
0 |
0 |
||||
|
Reduction in taxable wages |
$ 115,283 |
$ - |
$ - |
||||
|
Average tax rate |
0.60% |
0.60% |
- |
||||
|
Average tax rate x Reduction |
$ 692 |
$ - |
$ - |
||||
|
Revenue loss |
$ 692 |
$ - |
|||||
|
Industry Total Loss |
$ 692 |
||||||
Finance (Meals &Lodging)
|
Worker Salary Levels |
|||||||
|
$1 to $18,100 |
$18,100 to $20,100 |
over $20,1000 |
|||||
|
No. of Wage Records in Universe |
47,639 |
6,050 |
115,391 |
||||
|
No. of Wage Records in Sample |
797 |
107 |
1,992 |
||||
|
Percent of Sample to Universe |
1.7% |
1.8% |
1.7% |
||||
|
No. of Wage Records with Component |
83 |
5 |
39 |
||||
|
Percent of Affected Wage Records in Sample |
10.4% |
4.7% |
2.0% |
||||
|
Average value of each occurrence in Sample |
$ 4,894 |
$ 5,785 |
$ 7,301 |
||||
|
No. of Wage Records Affected in Universe |
4,961 |
283 |
2,259 |
||||
|
Reduction in taxable wages |
$24,279,871 |
$ 1,635,479 |
$ 16,494,136 |
||||
|
Average tax rate |
0.70% |
0.70% |
- |
||||
|
Average tax rate x Reduction |
$ 169,959 |
$ 11,448 |
- |
||||
|
Revenue loss |
$ 169,959 |
$ 10,895* |
|||||
|
Industry Total Loss |
$ 180,834 |
||||||
*Partial loss from Wages falling under the Taxable Wage Base
Services (Dependent Care)
|
Worker Salary Levels |
|||||||
|
$1 to $18,100 |
$18,100 to $20,100 |
over $20,1000 |
|||||
|
No. of Wage Records in Universe |
538,745 |
36,548 |
454,437 |
||||
|
No. of Wage Records in Sample |
3,048 |
357 |
10,084 |
||||
|
Percent of Sample to Universe |
0.6% |
1.0% |
2.2% |
||||
|
No. of Wage Records with Component |
2 |
0 |
1 |
||||
|
Percent of Affected Wage Records in Sample |
0.1% |
0.0% |
0.0% |
||||
|
Average value of each occurrence in Sample |
$ 533 |
$ - |
$ 1,458 |
||||
|
No. of Wage Records Affected in Universe |
354 |
0 |
45 |
||||
|
Reduction in taxable wages |
$ 188,419 |
$ - |
- |
||||
|
Average tax rate |
0.80% |
0.80% |
- |
||||
|
Average tax rate x Reduction |
$ 1,507 |
$ - |
- |
||||
|
Revenue loss |
$ 1,507 |
$ - |
|||||
|
Industry Total Loss |
$ 1,507 |
||||||
Construction (Cafeteria Plan)
|
Worker Salary Levels |
|||||||
|
$1 to $18,100 |
$18,100 to $20,100 |
over $20,1000 |
|||||
|
No. of Wage Records in Universe |
64,335 |
5,051 |
93,788 |
||||
|
No. of Wage Records in Sample |
668 |
68 |
1,475 |
||||
|
Percent of Sample to Universe |
1.0% |
1.3% |
1.6% |
||||
|
No. of Wage Records with Component |
1 |
0 |
1,799 |
||||
|
Percent of Affected Wage Records in Sample |
0.1% |
0.0% |
122.0% |
||||
|
Average value of each occurrence in Sample |
$ 1,536 |
$ - |
$ 618 |
||||
|
No. of Wage Records Affected in Universe |
96 |
0 |
114,390 |
||||
|
Reduction in taxable wages |
$ 147,932 |
$ - |
$ 70,692,753 |
||||
|
Average tax rate |
4.80% |
4.80% |
- |
||||
|
Average tax rate x Reduction |
$ 7,101 |
$ - |
- |
||||
|
Revenue loss |
$ 7,101 |
$ - |
|||||
|
Industry Total Loss |
$ 7,101 |
||||||
Services (Cafeteria Plan)
|
Worker Salary Levels |
|||||||
|
$1 to $18,100 |
$18,100 to $20,100 |
over $20,1000 |
|||||
|
No. of Wage Records in Universe |
538,745 |
36,548 |
454,437 |
||||
|
No. of Wage Records in Sample |
3,048 |
357 |
10,084 |
||||
|
Percent of Sample to Universe |
0.6% |
1.0% |
2.2% |
||||
|
No. of Wage Records with Component |
1 |
0 |
11 |
||||
|
Percent of Affected Wage Records in Sample |
0.01% |
0.0% |
0.1% |
||||
|
Average value of each occurrence in Sample |
$ 800 |
$ - |
$ 964 |
||||
|
No. of Wage Records Affected in Universe |
177 |
0 |
496 |
||||
|
Reduction in taxable wages |
$ 141,403 |
$ - |
$ 477,871 |
||||
|
Average tax rate |
0.80% |
0.80% |
0.80% |
||||
|
Average tax rate x Reduction |
$ 1,131 |
$ - |
$ 3,823 |
||||
|
Revenue loss |
$ 1,131 |
$ - |
|||||
|
Industry Total Loss |
$ 1,131 |
||||||
Over 150,000 payroll records were examined. The incidence of worker participation for those earning $20,100 or less in the dependent care assistance program was negligible. The reason for this may be that these kinds of payments may be included in regular cafeteria plan arrangements or may be too costly for workers at these wage levels. The majority of the occurrences were in the construction industry and other industries had only limited participation.
Cafeteria plan participation was high for workers earning more than $20,100 per year in the construction and service industries. Because this salary level was beyond the state's taxable wage base of $18,100, the impact on total revenues was only about $8,000 per year.
The incidence of reporting of taxable employee travel and business expenses for all industries was almost negligible, resulting in a potential revenue loss of about $1,000 per year.
Impact on SUI benefits
The following tables 4.6A, B and C describe the impact of the recommendations on annual SUI benefits using 1999 calendar year data. As shown in Table 4.6A, the overall reduction in benefits resulting from these recommendations is estimated to be $153, 000, or 0.04% of the annual benefits paid. About $100,000 of this reduction affected employers with 20 or more employees, principally in the construction industry. The remaining reduction of about $53,000 fell on smaller employers, also in the construction industry. Overall, the percentage reduction for large and small employers is about equal. Forty-eight workers lost eligibility for benefits because their earnings dropped below the minimum earnings requirements. Although 30% of the benefits were paid to workers in the construction industry, about one half of the benefit reduction was assignable to them.
|
Industry Group |
Claims |
Affected Claims |
Claims Affected % |
WBA Reduction |
Average Duration |
Total Benefit Paid |
Total Benefit Reduction |
Benefit Reduction to Total Benefit Paid |
|
Agriculture |
3,607 |
0 |
0% |
$0 |
16.09 |
$8,625,431 |
$0 |
0% |
|
Mining |
2,099 |
0 |
0% |
$0 |
11.87 |
$6,626,275 |
$0 |
0% |
|
Construction |
34,390 |
314 |
1% |
$16 |
15.01 |
$103,643,126 |
$76,056 |
0.07% |
|
Manufacturing |
30,616 |
0 |
0% |
$0 |
13.91 |
$76,045,863 |
$0 |
0% |
|
Transportation |
5,731 |
0 |
0% |
$0 |
15.74 |
$16,858,519 |
$0 |
0% |
|
Wholesale |
7,560 |
0 |
0% |
$0 |
14.93 |
$20,500,951 |
$0 |
0% |
|
Retail |
10,788 |
38 |
0% |
$16 |
15.77 |
$21,948,809 |
$9,494 |
0.04% |
|
Finance |
3,872 |
13 |
0% |
$144 |
16.23 |
$12,026,410 |
$30,431 |
0.25% |
|
Services |
27,180 |
199 |
1% |
$13 |
15.4 |
$66,053,838 |
$40,995 |
0.06% |
|
Public A. |
2,215 |
0 |
0% |
$0 |
18.31 |
$6,482,506 |
$0 |
0% |
|
Non Classifiable |
2,309 |
0 |
0% |
$0 |
15.4 |
$4,647,334 |
$0 |
0% |
|
Total |
130,367 |
564 |
0% |
$18 |
15.01 |
$343,459,063 |
$153,192 |
0.04% |
|
Lost all Benefits |
48 |
0.04% |
||||||
|
Industry Group |
Claims |
Affected Claims |
Claims Affected % |
WBA Reduction |
Average Duration |
Total Benefit Reduction |
|
Agriculture |
2,164 |
0 |
0% |
$0 |
16.09 |
$0 |
|
Mining |
1,259 |
0 |
0% |
$0 |
11.87 |
$0 |
|
Construction |
20,634 |
198 |
1% |
$17 |
15.01 |
$49,436 |
|
Manufacturing |
18,370 |
0 |
0% |
$0 |
13.91 |
$0 |
|
Transportation |
3,439 |
0 |
0% |
$0 |
15.74 |
$0 |
|
Wholesale |
4,536 |
0 |
0% |
$0 |
14.93 |
$0 |
|
Retail |
6,473 |
24 |
0% |
$16 |
15.77 |
$6,171 |
|
Finance |
2,323 |
8 |
0% |
$149 |
16.23 |
$19,780 |
|
Services |
16,308 |
125 |
1% |
$14 |
15.4 |
$26,647 |
|
Public A. |
1,329 |
0 |
0% |
$0 |
18.31 |
$0 |
|
Non Classifiable |
1,385 |
0 |
0% |
$0 |
15.4 |
$0 |
|
Total |
78,220 |
355 |
0% |
$19 |
15.01 |
$99,575 |
|
Lost all Benefits |
30 |
0.04% |
|
Industry Group |
Claims |
Affected Claims |
Claims Affected % |
WBA Reduction |
Average Duration |
Total Benefit Reduction |
|
Agriculture |
1,443 |
0 |
0% |
$0 |
16.09 |
$0 |
|
Mining |
840 |
0 |
0% |
$0 |
11.87 |
$0 |
|
Construction |
13,756 |
116 |
1% |
$15 |
15.01 |
$26,619 |
|
Manufacturing |
12,246 |
0 |
0% |
$0 |
13.91 |
$0 |
|
Transportation |
2,292 |
0 |
0% |
$0 |
15.74 |
$0 |
|
Wholesale |
3,024 |
0 |
0% |
$0 |
14.93 |
$0 |
|
Retail |
4,315 |
14 |
0% |
$15 |
15.77 |
$3,323 |
|
Finance |
1,549 |
5 |
0% |
$136 |
16.23 |
$10,651 |
|
Services |
10,872 |
74 |
1% |
$13 |
15.4 |
$14,348 |
|
Public A. |
886 |
0 |
0% |
$0 |
18.31 |
$0 |
|
Non Classifiable |
924 |
0 |
0% |
$0 |
15.4 |
$0 |
|
Total |
52,147 |
209 |
0% |
$17 |
15.01 |
$53,617 |
|
Lost all Benefits |
18 |
0.03% |
The THWC recommendations are to:
These components are treated as wages under the Montana SUI law. The size of the sample obtained from payroll records was much too small to produce meaningful results. Because of this, the results obtained from the Minnesota sample were used as statistical proxies in the revenue analyses.
Impact on SUI revenues
Table 4.7 Revenue Loss by Industry shows the impact of the recommendations on annual SUI revenues using 1999 calendar year data. The overall revenue loss is estimated to be $56,000 or .01% of annual UI revenues of $61.5 million. The major portion of this loss, $48,000, is associated with the proposed meals and lodging exclusion and occurs in the finance industry. This is attributable to the value of free or reduced housing provided to apartment building superintendents. The revenue loss attributable to the dependent care payment and cafeteria plan recommendations account for the remaining $8,000 of the estimated annual revenue loss.
|
Industry Groups |
Revenue Loss |
|
|
Construction |
$ 988 |
|
|
Retail |
$ 731 |
|
|
Finance |
$ 50,574 |
|
|
Services |
$ 3,009 |
|
|
Total Revenue Loss |
$ 55,302 |
|
|
Total Revenue Collected |
$ 61,500,000 |
|
|
Percentage Reduction |
0.1% |
|
Table 4.7A shows the impact of the exclusion of components by sector and by salary level
Retail (Meals &Lodging)
|
Worker Salary Levels |
|||||||
|
$1 to $17,100 |
$17,100 to $19,100 |
over $19,1000 |
|||||
|
No. of Wage Records in Universe |
87,237 |
3,095 |
15,617 |
||||
|
No. of Wage Records in Sample |
1,134 |
50 |
297 |
||||
|
Percent of Sample to Universe |
1.3% |
1.6% |
1.9% |
||||
|
No. of Wage Records with Component |
4 |
0 |
0 |
||||
|
Percent of Affected Wage Records in Sample |
0.4% |
0.0% |
0.0% |
||||
|
Average value of each occurrence in Sample |
$ 198 |
$ 1,530 |
$ 4,832 |
||||
|
No. of Wage Records Affected in Universe |
308 |
0 |
0 |
||||
|
Reduction in taxable wages |
$ 60,923 |
$ - |
$ - |
||||
|
Average tax rate |
1.20% |
1.20% |
- |
||||
|
Average tax rate x Reduction |
$ 731 |
$ - |
$ - |
||||
|
Revenue loss |
$ 731 |
$ - |
|||||
|
Industry Total Loss |
$ 731 |
||||||
Finance (Meals &Lodging)
|
Worker Salary Levels |
|||||||
|
$1 to $17,100 |
$17,100 to $19,100 |
over $19,1000 |
|||||
|
No. of Wage Records in Universe |
9,886 |
1,238 |
9,058 |
||||
|
No. of Wage Records in Sample |
168 |
107 |
1,992 |
||||
|
Percent of Sample to Universe |
1.7% |
1.8% |
1.7% |
||||
|
No. of Wage Records with Component |
17 |
5 |
40 |
||||
|
Percent of Affected Wage Records in Sample |
10.2% |
4.7% |
2.0% |
||||
|
Average value of each occurrence in Sample |
$ 4,797 |
$ 4,300 |
$ 5,636 |
||||
|
No. of Wage Records Affected in Universe |
1,008 |
58 |
181 |
||||
|
Reduction in taxable wages |
$ 4,837,160 |
$ 250,200 |
$ 1,021,018 |
||||
|
Average tax rate |
1.00% |
1.00% |
1.00% |
||||
|
Average tax rate x Reduction |
$ 48,372 |
$ 2,502 |
$ 10,210 |
||||
|
Revenue loss |
$ 48,372 |
$ 2,300* |
|||||
|
Industry Total Loss |
$ 50,574 |
||||||
*Partial loss from Wages falling under the Taxable Wage Base
Services (Dependent Care)
|
Worker Salary Levels |
|||||||
|
$1 to $17,100 |
$17,100 to $19,100 |
over $19,1000 |
|||||
|
No. of Wage Records in Universe |
119,223 |
7,100 |
56,224 |
||||
|
No. of Wage Records in Sample |
715 |
71 |
1,237 |
||||
|
Percent of Sample to Universe |
0.6% |
1.0% |
2.2% |
||||
|
No. of Wage Records with Component |
1 |
0 |
0 |
||||
|
Percent of Affected Wage Records in Sample |
0.1% |
0.0% |
0.0% |
||||
|
Average value of each occurrence in Sample |
$ 486 |
$ - |
$ 1,394 |
||||
|
No. of Wage Records Affected in Universe |
119 |
0 |
0 |
||||
|
Reduction in taxable wages |
$ 57,942 |
$ - |
$ - |
||||
|
Average tax rate |
1.50% |
1.50% |
1.50% |
||||
|
Average tax rate x Reduction |
$ 869 |
$ - |
$ - |
||||
|
Revenue loss |
$ 869 |
$ - |
|||||
|
Industry Total Loss |
$ 869 |
||||||
Construction (Cafeteria Plan)
|
Worker Salary Levels |
|||||||
|
$1 to $17,100 |
$17,100 to $19,100 |
over $19,1000 |
|||||
|
No. of Wage Records in Universe |
18,901 |
1,365 |
12,338 |
||||
|
No. of Wage Records in Sample |
567 |
18 |
370 |
||||
|
Percent of Sample to Universe |
3.0% |
1.3% |
3.0% |
||||
|
No. of Wage Records with Component |
1 |
0 |
1 |
||||
|
Percent of Affected Wage Records in Sample |
0.1% |
0.0% |
0.4% |
||||
|
Average value of each occurrence in Sample |
$ 1,493 |
$ - |
$ 789 |
||||
|
No. of Wage Records Affected in Universe |
19 |
0 |
49 |
||||
|
Reduction in taxable wages |
$ 28,219 |
$ - |
$ 38,939 |
||||
|
Average tax rate |
3.50% |
3.50% |
3.50% |
||||
|
Average tax rate x Reduction |
$ 988 |
$ - |
$ 1,363 |
||||
|
Revenue loss |
$ 988 |
$ - |
|||||
|
Industry Total Loss |
$ 988 |
||||||
Services (Cafeteria Plan)
|
Worker Salary Levels |
|||||||
|
$1 to $17,100 |
$17,100 to $19,100 |
over $19,1000 |
|||||
|
No. of Wage Records in Universe |
119,223 |
7,100 |
56,224 |
||||
|
No. of Wage Records in Sample |
715 |
71 |
1,237 |
||||
|
Percent of Sample to Universe |
0.6% |
1.0% |
2.2% |
||||
|
No. of Wage Records with Component |
1 |
0 |
11 |
||||
|
Percent of Affected Wage Records in Sample |
0.1% |
0.0% |
0.1% |
||||
|
Average value of each occurrence in Sample |
$ 856 |
$ - |
$ 965 |
||||
|
No. of Wage Records Affected in Universe |
167 |
0 |
56 |
||||
|
Reduction in taxable wages |
$ 142,667 |
$ - |
$ 54,256 |
||||
|
Average tax rate |
1.50% |
1.50% |
- |
||||
|
Average tax rate x Reduction |
$ 2,140 |
$ - |
- |
||||
|
Revenue loss |
$ 2,140 |
$ - |
|||||
|
Industry Total Loss |
$ 2,140 |
||||||
Impact on SUI benefits
The following tables 4.8A, B and C describe the impact of the recommendations on annual SUI benefits using 1999 calendar year data. As shown in Table 4.8A, the overall reduction in benefits resulting from these recommendations is estimated to be $27,000, or 0.15% of the annual benefits paid. The distribution of this reduction between large and small employers is 54% and 46% respectively and is about equally distributed among the construction, finance and services industries. The distribution of claimants affected by these reductions is about equal among large and small employers with the greatest share falling to claimants in the construction industry. Approximately 0.4% of claimants lose eligibility for UI. These components are treated as wages under the Montana SUI law.
|
Industry Group |
Claims |
Affected Claims |
Claims Affected % |
WBA Reduction |
Average Duration |
Total Benefit Paid |
Total Benefit Reduction |
Benefit Reduction to Total Benefit Paid |
|
Agriculture |
495 |
0 |
0% |
$0 |
13.69 |
$1,015,544 |
$0 |
0% |
|
Mining |
559 |
0 |
0% |
$0 |
12.45 |
$15,478,032 |
$0 |
0% |
|
Construction |
6,405 |
45 |
1% |
$16 |
15.99 |
$943,344 |
$11,161 |
1.18% |
|
Manufacturing |
3,276 |
0 |
0% |
$0 |
14.51 |
$1,266,853 |
$0 |
0% |
|
Transportation |
1,031 |
0 |
0% |
$0 |
9.76 |
$5,600,162 |
$0 |
0% |
|
Wholesale |
759 |
0 |
0% |
$0 |
13.03 |
$1,551,553 |
$0 |
0% |
|
Retail |
3,250 |
6 |
0% |
$15 |
14.23 |
$323,217 |
$1,252 |
0.39% |
|
Finance |
383 |
8 |
2% |
$86 |
14.29 |
$5,585,795 |
$9,860 |
0.18% |
|
Services |
5,707 |
48 |
1% |
$11 |
14.38 |
$11,658,670 |
$7,851 |
0.07% |
|
Public A. |
558 |
0 |
0% |
$0 |
12.45 |
$1,848,642 |
$0 |
0.0% |
|
Total |
22,423 |
107 |
0% |
$19 |
13.4 |
$45,271,812 |
$27,095 |
0.15% |
|
Lost all Benefits |
8 |
0.04% |
|
Industry Group |
Claims |
Affected Claims |
Claims Affected % |
WBA Reduction |
Average Duration |
Total Benefit Reduction |
|
Agriculture |
173 |
0 |
0% |
$0 |
13.69 |
$0 |
|
Mining |
339 |
0 |
0% |
$0 |
12.45 |
$0 |
|
Construction |
3,293 |
24 |
1% |
$17 |
15.99 |
$6,364 |
|
Manufacturing |
2,133 |
0 |
0% |
$0 |
14.51 |
$0 |
|
Transportation |
611 |
0 |
0% |
$0 |
9.76 |
$0 |
|
Wholesale |
428 |
0 |
0% |
$0 |
13.03 |
$0 |
|
Retail |
1,749 |
3 |
0% |
$17 |
14.23 |
$726 |
|
Finance |
181 |
6 |
3% |
$90 |
14.29 |
$7,674 |
|
Services |
3,957 |
25 |
1% |
$4 |
14.38 |
$1,553 |
|
Public A. |
538 |
0 |
0% |
$0 |
12.45 |
$0 |
|
Total |
13,402 |
58 |
0% |
$19 |
13.4 |
$14,660 |
|
Lost all Benefits |
6 |
0.04% |
|
Industry Group |
Claims |
Affected Claims |
Claims Affected % |
WBA Reduction |
Average Duration |
Total Benefit Reduction |
|
Agriculture |
322 |
0 |
0% |
$0 |
13.69 |
$0 |
|
Mining |
220 |
0 |
0% |
$0 |
12.45 |
$0 |
|
Construction |
3,112 |
21 |
1% |
$14 |
15.99 |
$4,797 |
|
Manufacturing |
1,143 |
0 |
0% |
$0 |
14.51 |
$0 |
|
Transportation |
420 |
0 |
0% |
$0 |
9.76 |
$0 |
|
Wholesale |
331 |
0 |
0% |
$0 |
13.03 |
$0 |
|
Retail |
1,501 |
3 |
0.2% |
$12 |
14.23 |
$527 |
|
Finance |
202 |
2 |
1% |
$77 |
14.29 |
$2,186 |
|
Services |
1,750 |
23 |
1% |
$19 |
14.38 |
$6,298 |
|
Public A. |
20 |
0 |
0% |
$0 |
12.45 |
$0 |
|
Total |
9,021 |
49 |
0% |
$19 |
13.4 |
$12,435 |
|
Lost all Benefits |
2 |
0.02% |
The THWC recommendations are to exclude the following from the definition of wages:
Each of these components is treated as wages under the Pennsylvania SUI law.
Impact on SUI revenues
As shown in Table 4.9 Revenue Loss by Industry, the total revenue collected from contributory employers in 1999 was $1.4 billion. The estimated loss of revenue due to the THWC is $423,000 or 0.03% of the amount collected. The following tables display the impact of these recommendations on annual SUI revenues using calendar year 1999 data.
|
Industry Groups |
Revenue Loss |
|
|
Retail |
$ 420,573 |
|
|
Services |
$ 2,153 |
|
|
Total Revenue Loss |
$ 422,576 |
|
|
Total Revenue Collected |
$ 1,469,796,883 |
|
|
Percentage Reduction |
0.03% |
|
The data suggests that dependent care program participation occurs principally among workers earning over $10,000 per year and the THWC has no impact. As the state's taxable wage base is $8,000, these occurrences have no impact on annual revenues.
Conversely, the major portion of the meals and lodging component occurs among workers earning $8,000 or less per year. Services performed in the retail industry account for almost the entire revenue loss of more than $421,000, or less than 0.1% of the annual revenue collected. The remaining industries do not show any measurable reductions in revenues.
Table 4.9A shows the impact of the exclusion of THWC components by sector by salary level.
Services (Dependent Care)
|
Worker Salary Levels |
||||||
|
$1 to $8,000 |
$8,000 to $10,000 |
over $10,000 |
||||
|
No. of Wage Records in Universe |
1,761,962 |
168,600 |
1,349,360 |
|||
|
No. of Wage Records in Sample |
4,104 |
953 |
31,831 |
|||
|
Percent of Sample to Universe |
0.2% |
0.6% |
2.4% |
|||
|
No. of Wage Records with Component |
0 |
1 |
7 |
|||
|
Percent of Affected Wage Records in Sample |
0.0% |
0.1% |
0.02% |
|||
|
Average value of each occurrence in Sample |
$ - |
$ 716 |
$ 1,876 |
|||
|
No. of Wage Records Affected in Universe |
0 |
177 |
297 |
|||
|
Reduction in taxable wages |
$ - |
$ 126,671 |
$ 556,684 |
|||
|
Average tax rate |
3.40% |
3.40% |
- |
|||
|
Average tax rate x Reduction |
$ - |
$ 4,307 |
- |
|||
|
Revenue loss |
$ - |
$ 2,153* |
||||
|
Industry Total Loss |
$ 2,153 |
|||||
*Partial loss from Wages falling under the Taxable Wage Base
Retail (Meals &Lodging)
|
Worker Salary Levels |
||||||
|
$1 to $8,000 |
$8,000 to $10,000 |
over $10,000 |
||||
|
No. of Wage Records in Universe |
1,275,918 |
81,576 |
285,372 |
|||
|
No. of Wage Records in Sample |
6,936 |
1,238 |
8,614 |
|||
|
Percent of Sample to Universe |
0.5% |
1.5% |
3.0% |
|||
|
No. of Wage Records with Component |
547 |
92 |
351 |
|||
|
Percent of Affected Wage Records in Sample |
7.89% |
7.43% |
4.07% |
|||
|
Average value of each occurrence in Sample |
$ 139 |
$ 314 |
$ 430 |
|||
|
No. of Wage Records Affected in Universe |
100,624 |
6,062 |
11,628 |
|||
|
Reduction in taxable wages |
$13,986,718 |
$ 1,903,528 |
$ 5,000,139 |
|||
|
Average tax rate |
3% |
3% |
- |
|||
|
Average tax rate x Reduction |
$ 419,601 |
$ 57,105 |
- |
|||
|
Revenue loss |
$ 419,601 |
$ 971* |
||||
|
Industry Total Loss |
$ 420,573 |
|||||
*Partial loss from Wages falling under the Taxable Wage Base
Impact on SUI Benefit
The impact of the recommendations on SUI benefits is shown in Table 4.10A. The overall reduction is estimated to be $1.1 million, or 0.08% of the annual benefit outlay for the year. Its distribution between large and small employers and industries is shown in Tables 4.10B and C. About 90% of the reduction is among claimants in the finance industry. This is attributed to the value of free or reduced housing provided to apartment building superintendents. Although the finance industry accounted for only 5% of total benefits paid, it accounts for 81% of the benefit reduction. Approximately 1% of claimants from small employers would lose eligibility for UI.
|
Industry Group |
Claims |
Affected Claims |
Claims Affected % |
WBA Reduction |
Average Duration |
Total Benefit Paid |
Total Benefit Reduction |
Benefit Reduction to Total Benefit Paid |
|
Agriculture |
11,665 |
0 |
0% |
$0 |
9.3 |
$23,245,392 |
$0 |
0.00% |
|
Mining |
5,978 |
0 |
0% |
$0 |
8.9 |
$16,703,532 |
$0 |
0.00% |
|
Construction |
94,909 |
0 |
0% |
$0 |
8.7 |
$255,284,823 |
$0 |
0.00% |
|
Manufacturing |
162,104 |
0 |
0% |
$0 |
8.7 |
$383,393,602 |
$0 |
0.00% |
|
Transportation |
36,931 |
0 |
0% |
$0 |
9.2 |
$83,054,200 |
$0 |
0.00% |
|
Wholesale |
22,975 |
0 |
0% |
$0 |
11.7 |
$142,124,492 |
$0 |
0.00% |
|
Retail |
71,009 |
2,635 |
4% |
$6 |
10.8 |
$142,124,492 |
$161,914 |
0.11% |
|
Finance |
20,721 |
2,850 |
14% |
$25 |
13.3 |
$77,502,627 |
$948,170 |
1.22% |
|
Services |
109,464 |
281 |
0% |
$7 |
11 |
$275,640,504 |
$22,517 |
0.01% |
|
Public A. |
0 |
0 |
0% |
$0 |
0 |
$0 |
$0 |
0.00% |
|
Total |
535,756 |
5,766 |
1% |
$15 |
13.4 |
$1,399,073,664 |
$1,132,601 |
0.08% |
|
Lost all Benefits |
19 |
0.004% |
|
Industry Group |
Claims |
Affected Claims |
Claims Affected % |
WBA Reduction |
Average Duration |
Total Benefit Reduction |
|
Agriculture |
699 |
0 |
0% |
$0 |
9.3 |
$0 |
|
Mining |
1,010 |
0 |
0% |
$0 |
8.9 |
$0 |
|
Construction |
5,615 |
0 |
0% |
$0 |
8.7 |
$0 |
|
Manufacturing |
38,926 |
0 |
0% |
$0 |
8.7 |
$0 |
|
Transportation |
9,942 |
0 |
0% |
$0 |
9.2 |
$0 |
|
Wholesale |
2,551 |
0 |
0% |
$0 |
11.7 |
$0 |
|
Retail |
21,237 |
1,953 |
4% |
$6 |
10.8 |
$122,310 |
|
Finance |
8,369 |
2,160 |
17% |
$26 |
13.3 |
$738,243 |
|
Services |
7,357 |
178 |
0% |
$7 |
11 |
$14,080 |
|
Public A. |
0 |
0 |
0% |
$0 |
0 |
$0 |
|
Total |
95,706 |
4,291 |
1% |
$16 |
13.4 |
$874,633 |
|
Lost all Benefits |
4 |
0.001% |
|
Industry Group |
Claims |
Affected Claims |
Claims Affected % |
WBA Reduction |
Average Duration |
Total Benefit Reduction |
|
Agriculture |
10,966 |
0 |
0% |
$0 |
9.3 |
$0 |
|
Mining |
4,968 |
0 |
0% |
$0 |
8.9 |
$0 |
|
Construction |
89,294 |
0 |
0% |
$0 |
8.7 |
$0 |
|
Manufacturing |
123,178 |
0 |
0% |
$0 |
8.7 |
$0 |
|
Transportation |
26,989 |
0 |
0% |
$0 |
9.2 |
$0 |
|
Wholesale |
20,424 |
0 |
0% |
$0 |
11.7 |
$0 |
|
Retail |
49,772 |
682 |
1% |
$5 |
10.8 |
$39,604 |
|
Finance |
12,352 |
690 |
6% |
$23 |
13.3 |
$209,927 |
|
Services |
102,107 |
103 |
0% |
$7 |
11 |
$8,437 |
|
Public A. |
0 |
0 |
0% |
$0 |
0 |
$0 |
|
Total |
440,050 |
1,475 |
0% |
$14 |
13.4 |
$257,968 |
|
Lost all Benefits |
15 |
1.02% |
One of the selection criteria used by the STAWRS Group in advancing the THWC initiative was that the wage components for harmonization have minimal economic impact. "Given the relative lower wage bases most states impose on employers and the fact that most jurisdictions will only have to make few modifications, the economic impact on state revenues should be minimal. There should also be minimal impact on potential benefits accruing to workers."
Our computations show (Table 4.11) that in the above five states, the relevant THWC components have met this criterion, when assessing the impact on state unemployment insurance revenues. The criterion was also met in terms of the number of claimants impacted, about 1% of the entire claimant population. However, in terms of this 1% of the claimants, their benefits would sustain reductions ranging from 8% to 20%.
|
Estimated Reductions by State |
|||||||
|
Revenue Loss |
Total Revenue |
California |
Georgia |
Minnesota |
Montana |
Pennsylvania |
|
|
Meals And Lodging |
$5,787,714 |
$5,132,513 |
$1,787 |
$181,526 |
$51,315 |
$420,573 |
|
|
Dependent Care |
$4,529 |
$1,507 |
$869 |
$2,153 |
|||
|
Cafeteria Plans |
$10,229 |
$7,101 |
$3,128 |
||||
|
Total |
$5,802,472 |
$5,132,513 |
$1,787 |
$190,134 |
$55,312 |
$422,726 |
|
|
Benefit Reduction |
Total Claims |
Benefit Paid |
Average Per Claim |
Affected Claims |
Benefit Reduction |
Average Per claim |
Percentage of Reduction on claim |
# of ineligible claimants |
|
California |
836,939 |
$2,036,866 |
$2,434 |
7,623 |
$3,709,335 |
$487 |
20% |
660 |
|
Georgia |
127,362 |
$290,190 |
$2,278 |
1,494 |
$425,103 |
$285 |
12% |
39 |
|
Minnesota |
130,367 |
$343,459 |
$2,635 |
564 |
$153,192 |
$272 |
10% |
48 |
|
Montana |
22,423 |
$45,271 |
$2,019 |
107 |
$27,095 |
$253 |
13% |
8 |
|
Pennsylvania |
535,756 |
$1,399,073 |
$2,611 |
5,766 |
$1,132,601 |
$196 |
8% |
19 |
|
Totals |
1,652,847 |
$4,114,861 |
$2,395 |
15,554 |
$5,447,326 |
$298 |
12% |
774 |
On the basis of the results of this study, we make the following recommendations.
One of the criteria used by the STAWRS Group in advancing the THWC initiative was to select several wage components for harmonization that were most common to small employers. "Given the relative lower wage bases most states impose on employers and the fact that most jurisdictions will only have to make few modifications, the economic impact on state revenues should be minimal. There should also be minimal impact on potential benefits accruing to workers." This study has shown that the components selected have met this criterion, particularly when assessing the impact on state unemployment insurance revenues. When assessing the impact on benefit outlays and numbers of claimants affected, again the impact was minimal, less than 1% of the annual benefits paid. The impacts on those claimants whose benefits are affected, however is more substantial. These reductions in WBAs range on average from 7% to 30%.
Table 1: Size of Payroll Sample - Employees
|
State |
Employees in Sample |
Employees in State |
% of Employees captured by sample |
|
Minnesota |
41,000 |
2,600,000 |
1.5% |
|
Montana |
500 |
460,000 |
0.1% |
|
Georgia |
34,000 |
4,000,000 |
0.8% |
|
California |
230,000 |
16,000,000 |
1.4% |
|
Pennsylvania |
104,000 |
5,700,000 |
1.8% |
|
State |
Employers in Sample |
Employers in State |
% of Employers captured by sample |
|
Minnesota |
3,400 |
161,000 |
2.1% |
|
Montana |
70 |
40,000 |
0.1% |
|
Georgia |
3,500 |
223,000 |
1.6% |
|
California |
18,500 |
725,000 |
2.6% |
|
Pennsylvania |
8,500 |
282,000 |
3.1% |
Table 3: State Conformance to the 14 THWC Components
|
State |
Components |
Changes req. to conform to THWC |
||||||||||||||
|
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
13a |
14 |
||
|
FU |
||||||||||||||||
|
FI |
P |
|||||||||||||||
|
AL |
C |
P |
P |
C |
2 |
|||||||||||
|
AK |
P |
C |
P |
C |
C |
3 |
||||||||||
|
AZ |
||||||||||||||||
|
AR |
P |
C |
C |
C |
3 |
|||||||||||
|
CA |
C |
1 |
||||||||||||||
|
CO |
||||||||||||||||
|
CT |
C |
P |
C |
P |
C |
C |
C |
5 |
||||||||
|
DE |
P |
C |
P |
P |
P |
P |
C |
C |
3 |
|||||||
|
DC |
C |
P |
C |
C |
P |
C |
C |
5 |
||||||||
|
FL |
P |
C |
1 |
|||||||||||||
|
GA |
C |
C |
2 |
|||||||||||||
|
HI |
P |
P |
C |
C |
C |
3 |
||||||||||
|
ID |
P |
C |
P |
1 |
||||||||||||
|
IL |
P |
C |
P |
1 |
||||||||||||
|
IN |
P |
|||||||||||||||
|
IA |
P |
P |
C |
C |
C |
3 |
||||||||||
|
KS |
||||||||||||||||
|
KY |
C |
P |
C |
2 |
||||||||||||
|
LA |
P |
C |
C |
C |
3 |
|||||||||||
|
MD |
P |
|||||||||||||||
|
ME |
P |
|||||||||||||||
|
MA |
P |
C |
P |
1 |
||||||||||||
|
MI |
C |
C |
C |
3 |
||||||||||||
|
MN |
C |
P |
C |
P |
C |
P |
3 |
|||||||||
|
MS |
P |
C |
P |
C |
C |
C |
4 |
|||||||||
|
MO |
P |
C |
P |
P |
P |
P |
1 |
|||||||||
|
MT |
C |
P |
C |
P |
C |
P |
C |
4 |
||||||||
|
NE |
P |
P |
C |
P |
C |
P |
P |
2 |
||||||||
|
NV |
C |
P |
C |
C |
P |
P |
C |
4 |
||||||||
|
NH |
C |
P |
C |
C |
C |
C |
C |
6 |
||||||||
|
NJ |
C |
P |
C |
P |
C |
P |
P |
C |
4 |
|||||||
|
NM |
P |
P |
P |
P |
C |
1 |
||||||||||
|
NY |
C |
P |
C |
C |
C |
P |
4 |
|||||||||
|
NC |
C |
C |
2 |
|||||||||||||
|
ND |
C |
P |
C |
P |
2 |
|||||||||||
|
OH |
||||||||||||||||
|
OK |
P |
C |
C |
2 |
||||||||||||
|
OR |
P |
C |
C |
C |
3 |
|||||||||||
|
PA |
P |
C |
P |
C |
2 |
|||||||||||
|
RI |
P |
C |
C |
C |
3 |
|||||||||||
|
SC |
C |
P |
P |
C |
C |
3 |
||||||||||
|
SD |
P |
P |
C |
C |
2 |
|||||||||||
|
TN |
C |
P |
C |
P |
2 |
|||||||||||
|
TX |
C |
P |
C |
C |
C |
C |
5 |
|||||||||
|
UT |
P |
C |
1 |
|||||||||||||
|
VT |
C |
P |
C |
C |
C |
C |
P |
5 |
||||||||
Table 3: State Conformance to the 14 THWC Components
|
State |
Components |
Changes req. to conform to THWC |
||||||||||||||
|
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
13a |
14 |
||
|
FU |
||||||||||||||||
|
FI |
P |
|||||||||||||||
|
VA |
P |
C |
1 |
|||||||||||||
|
WA |
P |
C |
P |
C |
2 |
|||||||||||
|
WV |
P |
C |
C |
P |
2 |
|||||||||||
|
WI |
||||||||||||||||
|
WY |
C |
P |
1 |
|||||||||||||
|
C |
Change in Component |
P |
Partial Change in Component |
No Change in Component |
Key to Components Numbering in Table 2 above:
13a Sick Pay after 6 months
Source: HWC database
INFORMATION REQUESTED FROM STATES
Table 1 - Employers by Size and Major Industry Group
|
Number of Employers in each Major Group: |
Number of Employees by SIC Major Group |
||
|
Small Employer |
Large Employer |
Total Employers |
|
|
Agriculture, Forestry and Fishing (SIC 1-9) |
|||
|
Mining (SIC 10-14) |
|||
|
Construction (SIC 15-17) |
|||
|
Manufacturing (SIC 20-39) |
|||
|
Transport, Communications, Electric, Gas and Sanitary Services (SIC 40-49) |
|||
|
Wholesale Trade (50-51) |
|||
|
Retail Trade (52-59) |
|||
|
Finance, Insurance and Real Estate (SIC 60-67) |
|||
|
Services (SIC 70-89) |
|||
|
Public Administration (SIC 91-97) |
|||
|
Non-Classifiable Establishments (SIC 99) |
|||
|
Total Sum of Employers |
|||
Table 2 - Employees by Wage Level, Major Group and Size of Employer
|
Major Group: Agriculture, Forestry and Fishing (SIC 1-9) |
Size of Employer by Number of Employees |
||
|
Large Employer |
Small Employer |
Total Employers |
|
|
Number of Employees by wage level: |
|||
|
$1 to $8,000 |
|||
|
8,001 - $10,001 |
|||
|
over $10,001 |
|||
|
Major Group: Mining (SIC 10-14) |
Size of Employer by Number of Employees |
||
|
Large Employer |
Small Employer |
Total Employers |
|
|
Number of Employees by wage level: |
|||
|
$1 to $8,000 |
|||
|
8,001 - $10,001 |
|||
|
Over $10,001 |
|||
|
Major Group: Construction (SIC 15-17) |
Size of Employer by Number of Employees |
||
|
Large Employer |
Small Employer |
Total Employers |
|
|
Number of Employees by wage level: |
|||
|
$1 to $8,000 |
|||
|
8,001 - $10,001 |
|||
|
Over $10,001 |
|||
|
Major Group: Manufacturing (SIC 20-39) |
Size of Employer by Number of Employees |
||
|
Large Employer |
Small Employer |
Total Employers |
|
|
Number of Employees by wage level: |
|||
|
$1 to $8,000 |
|||
|
8,001 - $10,001 |
|||
|
over $10,001 |
|||
This information was requested for all SIC groups
FOCUS GROUP QUESTIONNAIRE & HANDOUTS
DISCUSSION GUIDE
INTRODUCTION (10 Minutes)
1. Guidelines and Instructions
2. Purpose of group
Get your opinions about some efforts to reduce employer and government burden by simplifying employment tax requirements
3. Introductions
Name
Business (type, size)
Your role (title and responsibilities)
CONTEXT: TAX AND WAGE REPORTING (25 Minutes)
READ: First, I'd like to talk a little bit about your experience with tax and wage reporting in general . . .
1. How involved are you in tax and wage reporting?
You, personally, do all the reporting
You do the reporting with help from others in your office
You do the reporting with help from an accountant
2. Does anyone here use a payroll service (like ADP or PrimePay)?
Would you prefer to use a payroll service?
Why/Why Not?
3. About how many hours a month do you spend on tax and wage reporting?
4. How many employees do you report for?
5. How many agencies do you report to?
Which agencies are they?
6. Do you do your reporting on paper or on diskette?
7. In general, how do you feel about the current wage and tax system?
Simple or complicated? How so?
Fairly easy or burdensome? How so?
PROBE FOR SPECIFICS.
IF NOT MENTIONED ASK ABOUT:
Simpler forms
Fewer Forms
Only reporting to one agency
Uniform definitions
Others
INTRODUCTION TO THWC (35 Minutes)
READ: As I mentioned at the beginning, this group is about some efforts to reduce employer and government burden by simplifying employment tax requirements. I want to share some of the specifics with you and get your reaction.
1. Has anyone here ever heard of the "Simplified Tax and Wage Reporting System Group" also called STAWRS?
IF YES: What have you heard about this? Where?
2. How about proposed "Targeted Harmonized Wage Code" also called THWC?
IF YES: What have you heard about this? Where?
HANDOUT ONE
READ: I'd like to pass this around and read through it together. This is some background about the STAWRS and the THWC. Take a minute to read it through, then let's read it through together, and then let's talk about it . . .
Potential advantages?
Potential problems?
SPECIFICS ON THWC (40 Minutes)
HANDOUT TWO
READ: Now some specifics about the 14 components . . . I'd like you to pass this around and read through it together.
Potential advantages?
Potential problems?
HANDOUT THREE
READ: Now there are some potential downsides. Let's review one of them . . .
What do you think of that?
Should the reduction be remedied? Or isn't that necessary?
Increased benefit rates to compensate?
A change in the way benefits are calculated?
A reduction in the amount of earnings necessary to qualify for benefits?
Other suggestions?
Additional Ideas for Reducing Reporting Burden (10 Minutes)
Potential advantages?
Potential problems?
Do you foresee privacy issues with e filing?
Conclusion (5 Minutes)
Any additional comments or questions.
HANDOUT ONE:
BACKGROUND AND DEFINITIONS
STAWRS
The "Simplified Tax and Wage Reporting System Group" or "STAWRS" is a program of government agencies including the Labor Department and the IRS, and various private organizations and business. The goal of STAWRS is to bring together government agencies and employers to simplify the employment tax and wage reporting process.
HWC
The "Harmonized Wage Code Project" or "HWC" is one of several STAWRS initiatives. The HWC Project is an effort to reduce employer and government burden by developing simplified employment tax requirements to replace the multitude of complex laws employers face today. The HWC Project aims to reduce employment tax burdens by harmonizing federal and state employment tax laws.
THWC
The initial recommendation of the HWC is the "Targeted Harmonized Wage Code" or "THWC", which is directed at small employers. 85% of all the employers in the US employ 20 or fewer workers. These smaller employers generally deal with just a subset of the hundreds of components contained in employment tax laws. The TWHC would provide uniform definitions of 14 specific components. These uniform definitions could be used in reporting by employers who deal only with these components. Such employers would have the advantage of simpler and fewer forms, less complicated laws and regulations, and simpler procedures.
HANDOUT TWO:
THE 14 COMPONENTS
The TWHC would provide uniform definitions of 14 components. These 14 were chosen because they are the ones which most small employers use. They are:
1. Vacation Pay
2. Payments for Jury Duty
3. Meals and Lodging
4. Group Term Life Insurance
5. Dependent Care
6. Tips
7. Employee Business Expense Reimbursement
8. Health Insurance
9. Cafeteria Plans
10. Moving Expenses
11. Death Benefits
12. Sick Pay
13. Fringe Benefits
14. Qualified Pension Plans
If the THWC is enacted, all these components would be given uniformed definitions - that is, the definitions would no longer differ by agency or level of government (i.e., state vs. federal). Also, these components would be reported on simplified forms.
HANDOUT THREE:
POTENTIAL DRAWBACK
Adoption of the THWC could have the effect of eliminating the eligibility of some low-wage earners from unemployment benefits and reducing the benefits of some others.
EXAMPLE 1: MEALS
Waiters and waitresses generally get paid very low wages. Many get meals from their employers as part of their compensation. If these meals are not included in computing compensation to determine unemployment insurance benefits, waiters and waitresses who become unemployed may get lower unemployment benefits. Some may not get unemployment benefits at all if this form of compensation is disallowed and their overall compensation then drops below the minimum requirement.
EXAMPLE 2: LODGING
Some building superintendents get paid low wages but get a place to live from their employers as part of their compensation. If this lodging compensation is not included in computing compensation for unemployment insurance benefits, such superintendents, if they become unemployed, would get lower unemployment benefits. Some may not get unemployment benefits at all if this form of compensation is disallowed and their overall compensation then drops below the minimum requirement.
Method of estimation of impact on wba
Method of Estimation of the Impact on Weekly Benefit Amounts
Estimating the impact on WBA consisted of a three-step process. The process was applied to each individual in the UI claimant file for each component under consideration. The steps are listed below, and then described.
Step 1: Determine whether the component was present in the wage for the individual.
Step 2: If the component was present, determine the percent of the individual's wage made up of the component.
Step 3: If the component was present, calculate the reduced WBA based on the adjusted wage.
Since it was not possible to collect data on the make up of the wages of every individual in the UI claimant files, probabilities and statistical distributions were used. This involved deriving three parameters from the payroll data.
This parameter was calculated only for components for which businesses may choose to offer the component as a benefit to employees. This was the case for cafeteria plans and dependent care, for example. For each component for which the parameter was applicable, the parameter was determined by dividing the total number of businesses represented in the data into the number of businesses having any employees with non-zero entries for the component.
From the payroll data, it was determined that large businesses (those with twenty employees or more) were statistically more likely than small businesses to offer cafeteria plans and dependent care. To account for this difference, the data was stratified by large and small businesses.
The data were tested to determine the significance of the differences among the SIC codes. The test showed no statistically significant difference from one SIC code to another in the likelihood of offering the benefits.
The parameters for large and small businesses were calculated by:
(Number of businesses with any employees having made payments for the component)/(Total number of businesses in the payroll data)
The second parameter was calculated for all components. It was calculated by dividing the number of individuals with non-zero amounts for the component by the total number of individuals in the database.
The parameter was calculated differently for cafeteria plans and dependent care. For these, only individuals employed by businesses offering the benefit were considered.
Investigation of the payroll data revealed a generally low correlation between an individual's wage and the amount for a component. There was also a consistently low correlation between wage and percent of wage for the component. This indicated a random process would be necessary to represent the selection of percent of wages to be assigned to a component.
A table of frequencies was developed. The table gave a percentage bands (e.g. 0% - 2%, 2% - 4%, etc.). Associated with each band was the number of times that band occurred in the data. The following table is an example of the distributions that were developed.
|
CAFETERIA PLAN COST TO EMPLOYEES AS A PERCENT OF GROSS WAGES |
|||
|
From |
To |
Frequency |
Cumulative Frequency as a Percent |
|
0% |
2% |
3964 |
25.8% |
|
2% |
4% |
4389 |
54.3% |
|
4% |
6% |
2572 |
71.0% |
|
6% |
8% |
1536 |
81.0% |
|
8% |
10% |
933 |
87.0% |
|
10% |
12% |
621 |
91.1% |
|
12% |
14% |
450 |
94.0% |
|
14% |
16% |
265 |
95.7% |
|
16% |
18% |
181 |
96.9% |
|
18% |
20% |
131 |
97.7% |
|
20% |
100% |
348 |
100.0% |
The following describes the use of the three parameters in the three-step process.
Step 1: Determine whether the component was present in the wage for the individual.
A random number was computer generated and compared to the probability the component was present. If the random number was greater than the probability, the component was not present for that individual and no impact was calculated. If the random number was less than the probability, the component was considered to be present and step 2 was performed.
For the cafeteria plan and dependent care components, there were two parts to step 1. First, the size of the business associated with the individual in the database was retrieved. A random number was then generated. If the individual was employed by a small business, the random number was compared to the probability that a small business offered the component. Otherwise, the random number was compared to the probability that a large business offered the component. If the random number was greater than the probability, the component was not present for that individual and no impact was calculated. If the random number was less than the probability, the component was considered to be present and the second comparison was performed.
The second comparison was performed by generating another random number and comparing it to the probability that an individual in a business offering a plan was enrolled in the plan. Again, greater meant no impact; less meant that step 2 was performed.
It was suggested that a business offering a cafeteria plan might also offer dependent care. Using the payroll data, it was demonstrated statistically that businesses offering cafeteria plans were more likely to offer dependent care than businesses not having cafeteria plans. Using the probability approach, this interaction was modeled.
Step 2: If the component was present, determine the percent of the individual's wage made up of the component.
If the component was present, the frequency table for the component was retrieved. A random number was generated and its position in the relative frequency distribution was determined. For example, using the frequency table given above, a random number 0.315 would be in the 2% to 4% row (0.315 is greater than 0.258 and less than 0.543). To determine the percent to be used in calculating the amount of the impact on wage, the exact position of 0.315 in the range of 0.258 to 0.543 was calculated and applied to the range of 2% to 4%. 0.315 is exactly 1/5th of the way from 0.258 to 0.543, therefore the percent selected to use in calculating the impact would be 1/5th the way from 2% to 4% or 2.4%.
Step 3: If the component was present, calculate the reduced WBA based on the adjusted wage.
If the component was present, there were three cases to consider: the individual receiving the minimum WBA, the individual receiving the maximum WBA, and the individual receiving a WBA between the minimum and maximum.
If the individual were receiving the minimum WBA, any reduction in wages would result in loss of benefits. In this case the WBA was reduced to $0.
An individual receiving the maximum WBA was assumed to be unaffected by the presence of the components. Since the exact wage resulting in maximum benefits could not be determined, the assumption was made that even in the low likelihood event that these components reduced the wages of one quarter, there would be a second quarter that would qualify the individual for maximum benefits.
For individuals with WBAs between the minimum and maximum, each percent reduction in wages would be mirrored by a percent reduction in WBA. Therefore the WBA was reduced by the percent determined in step 3 above.