IDEAS home Printed from https://ideas.repec.org/a/bde/journl/y2022i01daan03.html
   My bibliography  Save this article

The challenge of measuring digital platform work

Author

Listed:
  • Marina Gómez García
  • Laura Hospido

Abstract

The article presents an overview of digital platform work in Spain and analyses the challenge of quantifying this work in view of the lack of reliable and comprehensive data available. Digital platforms are technological infrastructures that act as intermediaries, facilitating interaction between two or more persons, for the provision of services through IT applications in exchange for payment. Although it is estimated that platform work accounts for less than 5% of the global workforce, this share is expected to increase. In 2018, according to the COLLEEM survey, platform work was the main job of 2.6% of the Spanish population over 16. Including occasional platform work, the figure rose to 18.5%, the highest percentage among the 16 European countries included in the survey. Nevertheless, in practice it is difficult to obtain precise figures, since to date official statistics are not designed to include the gig economy. The article compares the demographic characteristics of platform workers in Spain, according to the COLLEEM survey, and those of self-employed workers and employees according to two Spanish surveys of individuals and households, namely the 2018 Labour Force Survey (Encuesta de Población Activa) and the 2017 Survey of Household Finances (Encuesta Financiera de las Familias). The comparison shows that digital platform workers make up a specific group that is not directly comparable with either employees or the self-employed. To conclude, a number of ways to obtain a better measure of digital platform work are considered. One option would be to include direct questions on these work arrangements in employment survey questionnaires. Another would be to develop integrated datasets, combining the information from administrative records, which include digital platform activities, with surveys of the workers included in those records. In any event, in order for these administrative records and surveys to reflect platform work accurately, labour legislation needs to clearly define the relationship between those providing the services and the platforms.

Suggested Citation

  • Marina Gómez García & Laura Hospido, 2022. "The challenge of measuring digital platform work," Economic Bulletin, Banco de España, issue 1/2022.
  • Handle: RePEc:bde:journl:y:2022:i:01:d:aa:n:03
    Note: Analytical Articles
    as

    Download full text from publisher

    File URL: https://www.bde.es/f/webbde/SES/Secciones/Publicaciones/InformesBoletinesRevistas/ArticulosAnaliticos/22/T1/Files/be2201-art03e.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abraham Katharine G. & Amaya Ashley, 2019. "Probing for Informal Work Activity," Journal of Official Statistics, Sciendo, vol. 35(3), pages 487-508, September.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bas Scheer & Wiljan van den Berge & Maarten Goos & Alan Manning & Anna Salomons, 2022. "Alternative Work Arrangements and Worker Outcomes: Evidence from Payrolling," CPB Discussion Paper 435, CPB Netherlands Bureau for Economic Policy Analysis.
    2. 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.
    3. Tito Boeri & Giulia Giupponi & Alan B. Krueger & Stephen Machin, 2020. "Solo Self-Employment and Alternative Work Arrangements: A Cross-Country Perspective on the Changing Composition of Jobs," Journal of Economic Perspectives, American Economic Association, vol. 34(1), pages 170-195, Winter.
    4. Lawrence F. Katz & Alan B. Krueger, 2019. "Understanding Trends in Alternative Work Arrangements in the United States," NBER Working Papers 25425, National Bureau of Economic Research, Inc.
    5. Jose Asturias & Emin Dinlersoz & John Haltiwanger & Rebecca Hutchinson, 2021. "Business Applications as Economic Indicators," Working Papers 21-09, Center for Economic Studies, U.S. Census Bureau.
    6. Joshua Greenstein, 2020. "The Precariat Class Structure and Income Inequality among US Workers: 1980–2018," Review of Radical Political Economics, Union for Radical Political Economics, vol. 52(3), pages 447-469, September.
    7. Mossberger, Karen & LaCombe, Scott & Tolbert, Caroline J., 2022. "A new measure of digital economic activity and its impact on local opportunity," Telecommunications Policy, Elsevier, vol. 46(1).
    8. John C. Haltiwanger, 2022. "Entrepreneurship during the COVID-19 Pandemic: Evidence from the Business Formation Statistics," Entrepreneurship and Innovation Policy and the Economy, University of Chicago Press, vol. 1(1), pages 9-42.
    9. Joshua D. Gottlieb & Avi Zenilman, 2020. "When Workers Travel: Nursing Supply During COVID-19 Surges," NBER Working Papers 28240, National Bureau of Economic Research, Inc.
    10. Christine Mayrhuber & Julia Bock-Schappelwein, 2018. "Digitalisierung und soziale Sicherheit," WIFO Monatsberichte (monthly reports), WIFO, vol. 91(12), pages 891-897, December.
    11. 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.
    12. Barry, John W. & Campello, Murillo & Graham, John R. & Ma, Yueran, 2022. "Corporate flexibility in a time of crisis," Journal of Financial Economics, Elsevier, vol. 144(3), pages 780-806.
    13. Mark Kattenberg & Bas Scheer & Jurre Thiel, 2023. "Causal forests with fixed effects for treatment effect heterogeneity in difference-in-differences," CPB Discussion Paper 452, CPB Netherlands Bureau for Economic Policy Analysis.
    14. Adams-Prassl, Abigail & Balgova, Maria & Qian, Matthias, 2020. "Flexible Work Arrangements in Low Wage Jobs: Evidence from Job Vacancy Data," IZA Discussion Papers 13691, Institute of Labor Economics (IZA).
    15. Carolyn J. Heinrich & Huiping Cheng, 2022. "Does Online Credit Recovery in High School Support or Stymie Later Labor Market Success?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 41(4), pages 984-1011, September.
    16. Katharine G. Abraham & Brad Hershbein & Susan N. Houseman & Beth Truesdale, 2023. "The Independent Contractor Workforce: New Evidence On Its Size and Composition and Ways to Improve Its Measurement in Household Surveys," NBER Working Papers 30997, National Bureau of Economic Research, Inc.
    17. Olena Kostyshyna & Etienne Lalé, 2022. "On the evolution of multiple jobholding in Canada," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(2), pages 1095-1134, May.
    18. Christopher Alex Hooton, 2017. "America’s online ‘jobs’: conceptualizations, measurements, and influencing factors," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 52(4), pages 227-249, October.
    19. Cheryl Carleton & Mary T. Kelly, 2022. "Happy at Work - Possible at Any Age?," Villanova School of Business Department of Economics and Statistics Working Paper Series 51, Villanova School of Business Department of Economics and Statistics.
    20. Kässi, Otto & Lehdonvirta, Vili & Stephany, Fabian, 2021. "How Many Online Workers are there in the World? A Data-Driven Assessment," SocArXiv 78nge, Center for Open Science.

    More about this item

    Keywords

    digital platform work; self-employment; employment.;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J53 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - Labor-Management Relations; Industrial Jurisprudence

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bde:journl:y:2022:i:01:d:aa:n:03. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ángel Rodríguez. Electronic Dissemination of Information Unit. Research Department. Banco de España (email available below). General contact details of provider: https://edirc.repec.org/data/bdegves.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.