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Independent Contracting, Self-Employment, and Gig Work: Evidence from California Tax Data

Author

Listed:
  • Annette Bernhardt
  • Christopher Campos
  • Allen Prohofsky
  • Aparna Ramesh
  • Jesse Rothstein

Abstract

The authors use de-identified data from California personal income tax returns to measure the frequency and nature of independent contracting and self-employment in California. They identify this work by the presence of a Schedule C on the tax return and/or the receipt of a Form 1099 information return. The authors estimate that 14.4% of California workers aged 18 to 64 in tax year 2016 had some independent contracting or self-employment income and approximately half of this subgroup also had earnings from traditional W-2 jobs during the year. Only a small share (1.4%) of workers had earnings from online labor platforms (often called gig work). Workers with low earnings were significantly more likely to earn independent contracting or self-employment income and to rely primarily or exclusively on that income. The article explores the characteristics of workers engaging in independent contracting and self-employment and their distribution across family type, geography, and industry.

Suggested Citation

  • Annette Bernhardt & Christopher Campos & Allen Prohofsky & Aparna Ramesh & Jesse Rothstein, 2023. "Independent Contracting, Self-Employment, and Gig Work: Evidence from California Tax Data," ILR Review, Cornell University, ILR School, vol. 76(2), pages 357-386, March.
  • Handle: RePEc:sae:ilrrev:v:76:y:2023:i:2:p:357-386
    DOI: 10.1177/00197939221130322
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    References listed on IDEAS

    as
    1. Ramnath, Shanthi & Shoven, John B. & Slavov, Sita Nataraj, 2021. "Pathways to retirement through self-employment," Journal of Pension Economics and Finance, Cambridge University Press, vol. 20(2), pages 232-251, April.
    2. Lawrence F. Katz & Alan B. Krueger, 2019. "The Rise and Nature of Alternative Work Arrangements in the United States, 1995–2015," ILR Review, Cornell University, ILR School, vol. 72(2), pages 382-416, March.
    3. Raj Chetty & John N. Friedman & Emmanuel Saez, 2013. "Using Differences in Knowledge across Neighborhoods to Uncover the Impacts of the EITC on Earnings," American Economic Review, American Economic Association, vol. 103(7), pages 2683-2721, December.
    4. Katharine G. Abraham & John C. Haltiwanger & Claire Hou & Kristin Sandusky & James R. Spletzer, 2021. "Reconciling Survey and Administrative Measures of Self-Employment," Journal of Labor Economics, University of Chicago Press, vol. 39(4), pages 825-860.
    5. Emmanuel Saez, 2010. "Do Taxpayers Bunch at Kink Points?," American Economic Journal: Economic Policy, American Economic Association, vol. 2(3), pages 180-212, August.
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    Cited by:

    1. Mingze Ma & Tong Wu & Shuo Xu & Jiangyong Lu, 2026. "Starlight or shadow? Gendered outcomes of star collaborations for independent non-star gig workers: evidence from the board game design industry," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 13(1), pages 1-18, December.
    2. Fei Song & Danielle Lamb & Kamran Soltanzadeh, 2025. "What Happens When the Gig Is Up? The Relationship Between Gig Work Histories and Future Career Prospects," British Journal of Industrial Relations, London School of Economics, vol. 63(3), pages 525-537, September.

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    Keywords

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    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J4 - Labor and Demographic Economics - - Particular Labor Markets
    • J46 - Labor and Demographic Economics - - Particular Labor Markets - - - Informal Labor Market

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