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Measuring the “gig” economy: Challenges and options

Author

Listed:
  • Lynn Riggs

    (Motu Economic and Public Policy Research)

  • Isabelle Sin

    (Motu Economic and Public Policy Research)

  • Dean Hyslop

    (Motu Economic and Public Policy Research)

Abstract

The increase in internet-based services has raised policy interest in gig work, which is work done outside formal employer-employee relationships. Given the dearth of information about the nature and magnitude of gig work and the extent of its growth in New Zealand, it is unclear whether current regulatory institutions adequately regulate it. There is also concern among policymakers about the effect of gig work on the financial stability of gig workers. In this paper we provide a New Zealand-specific typology for identifying gig work, and discuss conceptual and practical issues related to measuring it. We describe how existing New Zealand data can be used to learn more about gig work and make suggestions for improving its measurement in the future.

Suggested Citation

  • Lynn Riggs & Isabelle Sin & Dean Hyslop, 2019. "Measuring the “gig” economy: Challenges and options," Working Papers 19_18, Motu Economic and Public Policy Research.
    • Handle: RePEc:mtu:wpaper:19_18
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    File URL: https://motu-www.motu.org.nz/wpapers/19_18.pdf
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    References listed on IDEAS

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    1. Douglas Gollin, 2002. "Getting Income Shares Right," Journal of Political Economy, University of Chicago Press, vol. 110(2), pages 458-474, April.
    2. Lawrence F. Katz & Alan B. Krueger, 2016. "The Rise and Nature of Alternative Work Arrangements in the United States, 1995-2015," NBER Working Papers 22667, National Bureau of Economic Research, Inc.
    3. 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.
    4. Richard Fabling & Lynda Sanderson, 2016. "A Rough Guide to New Zealand's Longitudinal Business Database (2nd edition)," Working Papers 16_03, Motu Economic and Public Policy Research.
    5. Richard Fabling & David C Maré, 2015. "Addressing the absence of hours information in linked employer-employee data," Working Papers 15_17, Motu Economic and Public Policy Research.
    6. Richard Fabling, 2009. "A Rough Guide to New Zealand's Longitudinal Business Database," Global COE Hi-Stat Discussion Paper Series gd09-103, Institute of Economic Research, Hitotsubashi University.
    7. Inga Laß & Mark Wooden, 2019. "Non-standard Employment and Wages in Australia," RBA Annual Conference Papers acp2019-04, Reserve Bank of Australia, revised Jul 2019.
    8. Rebecca Ann Freeman, 2011. "Accounting for the Self-Employed in Labour Share Estimates: The Case of the United States," OECD Science, Technology and Industry Working Papers 2011/4, OECD Publishing.
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    Cited by:

    1. Maciej Berk{e}sewicz & Dagmara Nikulin & Marcin Szymkowiak & Kamil Wilak, 2021. "The gig economy in Poland: evidence based on mobile big data," Papers 2106.12827, arXiv.org.

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    More about this item

    Keywords

    Gig work; Gig economy;

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J40 - Labor and Demographic Economics - - Particular Labor Markets - - - General
    • J46 - Labor and Demographic Economics - - Particular Labor Markets - - - Informal Labor Market
    • J81 - Labor and Demographic Economics - - Labor Standards - - - Working Conditions
    • J83 - Labor and Demographic Economics - - Labor Standards - - - Workers' Rights
    • J88 - Labor and Demographic Economics - - Labor Standards - - - Public Policy

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