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Measuring the gig economy in Canada using administrative data

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  • Sung‐Hee Jeon
  • Huju Liu
  • Yuri Ostrovsky

Abstract

A rapidly growing literature on informal work increasingly turns to administrative data to document changes in the size of informal economy and to learn more about the characteristics of freelancers, on‐demand/platform workers and similar types of workers commonly referred to as “gig workers.” These studies have established a conceptual link between the work arrangements of gig workers and how these are reported in tax data. We contribute to this literature by introducing a method of identifying gig workers specific to the way work arrangements are reported in the Canadian tax system and estimating the size of the gig economy in Canada using administrative data. Based on our definition, the share of gig workers among all workers rose from 5.5% in 2005 to 8.2% in 2016. Some of this increase coincided with the introduction and proliferation of online platforms. Our analysis highlights gender differences in the trends and characteristics of gig workers. By linking administrative data to 2016 census microdata, we are also able to examine educational and occupational differences in the prevalence of gig workers. Mesurer l'économie à la demande au Canada au moyen des données administratives. Une littérature en pleine expansion sur le travail informel s'appuie de plus en plus sur des données administratives pour estimer l'évolution de cette économie et en apprendre davantage sur ce qui caractérise les pigistes, travailleurs de plateformes et autres types de travailleurs communément appelés « travailleurs à la demande ». Ces études établissent un lien conceptuel entre les conditions de travail de ces travailleurs à la demande et la façon dont celles‐ci sont déclarées dans les données fiscales. Nous apportons notre contribution à cette littérature en présentant une méthode nous permettant dans un premier temps de distinguer ce type de travailleurs à partir de la façon dont leurs conditions de travail sont déclarées dans le système fiscal canadien et, dans un deuxième temps, d'évaluer la taille de l'économie à la demande au Canada au moyen de données administratives. En nous appuyant sur notre définition, la part des travailleurs à la demande parmi l'ensemble des travailleurs est passée de 5,5 % en 2005 à 8,2 % en 2016. Une partie de cette hausse coïncide avec l'introduction et la multiplication des plateformes en ligne. Notre analyse fait ressortir les différences entre les sexes en ce qui concerne les tendances et les caractéristiques des travailleurs à la demande. En couplant les données administratives aux microdonnées issues du Recensement de 2016, nous sommes également en mesure d'examiner les différences dans la prévalence des travailleurs à la demande sur les plans éducationnel et professionnel.

Suggested Citation

  • Sung‐Hee Jeon & Huju Liu & Yuri Ostrovsky, 2021. "Measuring the gig economy in Canada using administrative data," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(4), pages 1638-1666, November.
  • Handle: RePEc:wly:canjec:v:54:y:2021:i:4:p:1638-1666
    DOI: 10.1111/caje.12558
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    References listed on IDEAS

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    1. Abraham, Katharine G. & Hershbein, Brad & Houseman, Susan N., 2021. "Contract work at older ages," Journal of Pension Economics and Finance, Cambridge University Press, vol. 20(3), pages 426-447, July.
    2. 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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    4. Dmitri K. Koustas, 2019. "What Do Big Data Tell Us about Why People Take Gig Economy Jobs?," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 367-371, May.
    5. Katharine G. Abraham & Susan N. Houseman, 2019. "Making Ends Meet: The Role of Informal Work in Supplementing Americans’ Income," Upjohn Working Papers 19-315, W.E. Upjohn Institute for Employment Research.
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    Cited by:

    1. Cameron, Anna & Tedds, Lindsay M., 2021. "Gender-Based Violence, Economic Security, and the Potential of Basic Income: A Discussion Paper," MPRA Paper 107478, University Library of Munich, Germany.
    2. Dmitri Koustas, 2020. "Insights from New Tax-Based Measures of Gig Work in the United States," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 21(03), pages 5-9, September.
    3. Phil Lord, 2020. "The social perils and promoise of remote work," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 4(S), pages 63-67, June.
    4. Paul Glavin, 2020. "Multiple jobs? The prevalence, intensity and determinants of multiple jobholding in Canada," The Economic and Labour Relations Review, , vol. 31(3), pages 383-402, September.

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