DIGGING DEEPER INTO THE 10 BIG IDEAS
Table of Contents
Introduction
The 10 Big Ideas
Digging Deeper
- Measure what matters to workers, capturing a full range of job quality indicators
- Center equity in measurement
- Increase mandatory human capital data disclosure
- Link public and private data to gain new insights into the quality of jobs
- Leverage business data to demonstrate the return on investment from good jobs
- Revise data systems to include and support the non-W2 workforce
- Strengthen workforce system metrics to deliver results for workers and businesses
- Use public and private spending to measure and strengthen equity and good jobs
- Strengthen state and local capacity for data-driven decision-making to advance good jobs
- Invest in strengthening job quality measurement
Understanding the Impact
Appendices
Acknowledgements
![3](https://familiesandworkers.org/wp-content/uploads/2022/11/3-1.png)
#6: Revise data systems to include and support the non-W2 workforce.
These actions are intended for…
As a growing number of workers earn their income outside of traditional employment relationships, 1 we must revamp our measurement systems to understand and support job quality for this undercounted workforce. Routinely capturing and analyzing data on the non-W2 workforce will enable the U.S. Department of Labor (DOL), as well as workforce and social service systems, to better understand the benefits and drawbacks of contingent and alternative work, and to unearth trends in worker misclassification and support implementation of more responsive policies and programs, drawing on lessons from Pandemic Unemployment Assistance. If data are available to the general public in an accessible format, it can also inform decision-making as workers consider possible engagement in “gig work.”
To put this into practice, federal agencies, in partnership with state and local government, philanthropy, and researchers, should:
1. Standardize and expand collection of data on non-W2 workers.
A 2020 Federal Reserve Survey asked about “income-earning activity” as opposed to jobs, and found that 27% of adults earned money through gigs. 2 Women, young people, and people of color 3 are over-represented in these non W-2 jobs. Yet the non-W2 workforce is not consistently tracked 4 in state unemployment data or many federal data sources, leading to varied estimates of its size and demographic makeup. Contract workers are also excluded from Unemployment Insurance (UI), workers compensation, many basic labor protections, and employer-provided benefits, leaving them particularly vulnerable to the impacts of poor quality jobs, and undercounted in program data collection. A recent survey showed that 30% of gig workers are enrolled in Supplemental Nutrition Assistance Program (SNAP), twice the rate of W2 service sector workers. 5 The pandemic exposed the need for all workers, regardless of job classification or status, to have access to critical safety net services; however, without changes to existing public sector data systems and collection methodologies it will remain difficult to understand who these workers are, their working conditions, and what services they may need to achieve financial stability.
Surveys of workers typically do not distinguish types of self-employment income or account for use of gig jobs as secondary employment and supplemental income. For example, while the Contingent Worker Supplement to the Current Population Survey (CWS) provides critically important data, it reflects only the type of work individuals do as their main source of income; it does not currently capture supplemental work. Most administrative datasets, including state-held unemployment data, do not separately track those who receive non-W2 income.
To better understand and support self-employed workers, JQMI working group members proposed that federal, state, and local agencies work with academic researchers to:
- Through DOL and U.S. Department of the Treasury (Treasury) collaboration, undertake a preliminary feasibility study to define and track independent contractors, gig workers and other self-employed individuals using tax data in existing forms such as 1099 and Schedule C forms. This research effort should seek to uncover the promise and limits of tax data for understanding and improving the measurement of job quality for non-W2 workers. This would include assessing whether available tax data can effectively be used to identify workers and earnings in a stable and consistent way, and establishing which parameters and specific ways of identifying the population of workers and earnings most closely correspond to the non-W2 workforce. Conducting this work would require access to these data, which could be achieved in collaboration with researchers at the Internal Revenue Service (IRS) Joint Statistical Research Program (JSRP) or researchers at the Treasury’s Office of Tax Analysis (OTA). Previous research 6 conducted through the JSRP of the IRS has yielded important insights about the prevalence and activities of independent contractors. If new research established that these data could be valuable for statistical or programmatic purposes, DOL and its research partners could then pursue more widespread, systematic access.
- In accordance with Idea #4 to link public and private data to gain new insights into the quality of jobs, create a standardized process for linking household survey data such as the Current Population Survey (CPS) and its supplements with administrative data to combine detailed demographic information with information on employment including earnings, hours and the nature of the employment arrangement. Linking would provide insight into trends of understated self-employment which have emerged through household surveys, highlight data quality problems in existing surveys such as inaccuracies in self-reported earnings, and provide a more comprehensive view into job quality.
- DOL could work with states to explore and pilot approaches to update state unemployment reporting requirements to standardize the collection of data on non W-2 workers, including data on industry, occupation, hours and earnings. Such efforts could investigate appropriate reporting requirements—such as requiring firms that engage 1099 workers to report quarterly earnings to the state—and would require collaboration between DOL, state administrators, and policymakers to create and approve a standard collection approach that can be leveraged across datasets.
Endnotes
- Katherine Lim, Alicia Miller, Max Risch, and Eleanor Wilking, Internal Revenue Service. Independent Contractors in the U.S.: New Trends from 15 years of Administrative Tax Data (July 2019).
- Board of Governors of the Federal Reserve System. Survey of Household Economics and Decisionmaking (2020).
- Monica Anderson, Colleen McClain, Michelle Faverio, and Risa Gelles-Watnick, Pew Research Center. The State of Gig Work in 2021 (December 8, 2021).
- Katharine G. Abraham and Susan N. Houseman, W.E. Upjohn Institute. What Do We Know about Alternative Work Arrangements in the United States (September 5, 2021).
- Ben Zipperer et al., Economic Policy Institute. National survey of gig workers paints a picture of poor working conditions, low pay (June 1, 2022).
- Andrew Garin and Dmitri Koustas, Joint Statistical Research Program of the Statistics of Income
Division of the IRS. The Distribution of Independent Contractor Activity in the United States: Evidence
from Tax Filings (August 30, 2021).