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Online labour index: Measuring the online gig economy for policy and research

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  • Kässi, Otto
  • Lehdonvirta, Vili
Abstract
Labour markets are thought to be in the midst of a dramatic transformation, where standard employment is increasingly supplemented or substituted by temporary work mediated by online platforms. Yet the scale and scope of these changes is hard to assess, because conventional labour market statistics and economic indicators are ill-suited to measuring this “online gig work”. We present the Online Labour Index (OLI), an experimental economic indicator that approximates the conventional labour market statistic of new open vacancies. It measures the utilization of online labour across countries and occupations by tracking the number of projects and tasks posted on major online gig platforms in near-real time. The purpose of this article is to introduce the OLI and describe the methodology behind it. We also demonstrate how it can be used to address previously unanswered questions about the online gig economy. To benefit policymakers, labour market researchers and the general public, our results are published in an interactive online visualisation which is updated daily.

Suggested Citation

  • Kässi, Otto & Lehdonvirta, Vili, 2018. "Online labour index: Measuring the online gig economy for policy and research," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 241-248.
    • Handle: RePEc:eee:tefoso:v:137:y:2018:i:c:p:241-248
    DOI: 10.1016/j.techfore.2018.07.056
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    1. Ajay Agrawal & John Horton & Nicola Lacetera & Elizabeth Lyons, 2015. "Digitization and the Contract Labor Market: A Research Agenda," NBER Chapters, in: Economic Analysis of the Digital Economy, pages 219-250, National Bureau of Economic Research, Inc.
    2. Diane Coyle, 2015. "Commentary: Modernising Economic Statistics: Why It Matters," National Institute Economic Review, National Institute of Economic and Social Research, vol. 234(1), pages 4-7, November.
    3. John Horton & William R. Kerr & Christopher Stanton, 2017. "Digital Labor Markets and Global Talent Flows," NBER Chapters, in: High-Skilled Migration to the United States and Its Economic Consequences, pages 71-108, National Bureau of Economic Research, Inc.
    4. David H. Autor & Michael J. Handel, 2013. "Putting Tasks to the Test: Human Capital, Job Tasks, and Wages," Journal of Labor Economics, University of Chicago Press, vol. 31(S1), pages 59-96.
    5. Aubert-Tarby, Clémence & Escobar, Octavio R. & Rayna, Thierry, 2018. "The impact of technological change on employment: The case of press digitisation," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 36-45.
    6. 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.
    7. Siou Chew Kuek & Cecilia Paradi-Guilford & Toks Fayomi & Saori Imaizumi & Panos Ipeirotis & Patricia Pina & Manpreet Singh, 2015. "The Global Opportunity in Online Outsourcing," World Bank Publications - Reports 22284, The World Bank Group.
    8. Hal R. Varian, 2014. "Big Data: New Tricks for Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 3-28, Spring.
    9. 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.
    10. Peter Elias, 1997. "Occupational Classification (ISCO-88): Concepts, Methods, Reliability, Validity and Cross-National Comparability," OECD Labour Market and Social Policy Occasional Papers 20, OECD Publishing.
    11. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    12. John J. Horton, 2017. "The Effects of Algorithmic Labor Market Recommendations: Evidence from a Field Experiment," Journal of Labor Economics, University of Chicago Press, vol. 35(2), pages 345-385.
    13. De Groen, Willem Pieter & Maselli, Ilaria, 2016. "The Impact of the Collaborative Economy on the Labour Market," CEPS Papers 11625, Centre for European Policy Studies.
    14. Alan S. Blinder & Alan B. Krueger, 2013. "Alternative Measures of Offshorability: A Survey Approach," Journal of Labor Economics, University of Chicago Press, vol. 31(S1), pages 97-128.
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    More about this item

    Keywords

    Online freelancing; Online labour markets; Online gig economy; Measurement; Statistics; Measurement of vacancies; Web data collection;
    All these keywords.

    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
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • J40 - Labor and Demographic Economics - - Particular Labor Markets - - - General

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