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The Evolution of the Online Platform Economy: Evidence from Five Years of Banking Data

Author

Listed:
  • Diana Farrell
  • Fiona Greig
  • Amar Hamoudi

Abstract

Measuring the gig economy has been challenging. Drawing on anonymized administrative banking data, we measure supply-side participation in the online platform economy between 2013 and 2018. We find 2.3 million account holders who received payments from 128 transportation, non-transport work, selling, and leasing platforms. Participation grew rapidly, particularly in the transportation sector. Average monthly revenues declined among drivers and increased among lessors even within metro areas. At least a third—and likely more—of the decline in transportation revenues is driven by decreases in hours worked. These findings raise important policy questions and motivate promising directions for future work.

Suggested Citation

  • Diana Farrell & Fiona Greig & Amar Hamoudi, 2019. "The Evolution of the Online Platform Economy: Evidence from Five Years of Banking Data," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 362-366, May.
    • Handle: RePEc:aea:apandp:v:109:y:2019:p:362-66
    Note: DOI: 10.1257/pandp.20191040
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    Citations

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    Cited by:

    1. Oliver Alexander & Jeff Borland & Andrew Charlton & Amit Singh, 2021. "Uber down under: The labour market for drivers in Australia," Melbourne Institute Working Paper Series wp2021n18, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    2. Anna Ilsøe & Trine P. Larsen & Emma S. Bach, 2021. "Multiple jobholding in the digital platform economy: signs of segmentation," Transfer: European Review of Labour and Research, , vol. 27(2), pages 201-218, May.
    3. 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.
    4. 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.
    5. KURODA Sachiko & ONISHI Koichiro, 2023. "Exploring the Gig Economy in Japan: A bank data-driven analysis of food delivery gig workers," Discussion papers 23025, Research Institute of Economy, Trade and Industry (RIETI).
    6. Peter Q. Blair & Mischa Fisher, 2022. "Does Occupational Licensing Reduce Value Creation on Digital Platforms?," NBER Working Papers 30388, National Bureau of Economic Research, Inc.
    7. Francesco Fallucchi & Marc Kaufmann, 2021. "Narrow Bracketing in Work Choices," Papers 2101.04529, arXiv.org, revised Feb 2021.

    More about this item

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • L84 - Industrial Organization - - Industry Studies: Services - - - Personal, Professional, and Business Services

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