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The ups and downs of the gig economy, 2015–2017

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  • Anat Bracha
  • Mary A. Burke

Abstract

A variety of researchers and public entities have estimated the prevalence of nontraditional work arrangements ? using diverse definitions ? in recent decades, and the topic has received increasing attention in the past five years. Despite numerous media reports that the prevalence of nonstandard work has increased since the Great Recession, not all sources agree on this point, and very little evidence exists relating to hours or earnings from such arrangements and their changes over time. Using unique data from the Survey of Informal Work Participation (SIWP), we describe changes in informal work activity across 2015, 2016, and 2017 along multiple dimensions and for a variety of specific jobs. Considering the net changes observed between 2015 and 2017, we find that participation rates and earnings were mostly flat across the period, while average hours for gig workers declined by economically and statistically significant margins. The aggregate number of full-time equivalent jobs embodied in informal work ? a measure combining participation rates and hours ? also declined by an economically significant margin between 2015 and 2017. A major exception to these trends is that average ridesharing hours more than quadrupled between 2015 and 2017. We find some evidence that the recent declines in informal work hours represented a response to declining unemployment rates, but during this time period there also appears to have been upward structural pressure on gig work that provided a particular boost to platform-based work.

Suggested Citation

  • Anat Bracha & Mary A. Burke, 2018. "The ups and downs of the gig economy, 2015–2017," Working Papers 18-12, Federal Reserve Bank of Boston.
  • Handle: RePEc:fip:fedbwp:18-12
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    References listed on IDEAS

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    1. Katharine G. Abraham & John Haltiwanger & Kristin Sandusky & James R. Spletzer, 2013. "Exploring Differences in Employment between Household and Establishment Data," Journal of Labor Economics, University of Chicago Press, vol. 31(S1), pages 129-172.
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    4. Katharine G. Abraham & John C. Haltiwanger & Kristin Sandusky & James R. Spletzer, 2017. "Measuring the Gig Economy: Current Knowledge and Open Issues," NBER Chapters, in: Measuring and Accounting for Innovation in the Twenty-First Century, pages 257-298, National Bureau of Economic Research, Inc.
    5. Jonathan V. Hall & Alan B. Krueger, 2018. "An Analysis of the Labor Market for Uber’s Driver-Partners in the United States," ILR Review, Cornell University, ILR School, vol. 71(3), pages 705-732, May.
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    More about this item

    Keywords

    gig economy; informal work; survey; business cycle fluctuations;
    All these keywords.

    JEL classification:

    • E26 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Informal Economy; Underground Economy
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J46 - Labor and Demographic Economics - - Particular Labor Markets - - - Informal Labor Market

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