Online Labour Index: Measuring the Online Gig Economy for Policy and Research

Kässi, Otto and Lehdonvirta, Vili (2016): Online Labour Index: Measuring the Online Gig Economy for Policy and Research.

Abstract

Labour markets are thought to be in the midst of a dramatic transformation, where standard employment is increasingly supplemented or substituted by temporary gig 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 online gig work. We present the Online Labour Index (OLI), a new economic indicator that provides the online gig economy equivalent of conventional labour market statistics. It measures the utilization of online labour across countries and occupations by tracking the number of projects and tasks posted on platforms in near-real time. We describe how the OLI is constructed and demonstrate how it can be used to address previously unanswered questions about the online gig economy; in particular, we show that the online gig economy grew at an annualized rate of 14 percent. To benefit policymakers, labour market researchers, and the general public, the index is available as an open data set and interactive online visualization, which are automatically updated daily

• Item Type: MPRA Paper
• Language: English
• Keywords: online labour, online gig work, measurement of vacancies, web data collection, occupation prediction
• Subjects: C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C81 - Methodology for Collecting, Estimating, and Organizing Microeconomic Data ; Data Access; C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C83 - Survey Methods ; Sampling Methods; C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C88 - Other Computer Software; J - Labor and Demographic Economics > J2 - Demand and Supply of Labor > J20 - General; J - Labor and Demographic Economics > J4 - Particular Labor Markets > J40 - General

References

Autor, D. H. and Handel, M. J. (2013) Putting Tasks to the Test: Human Capital, Job Tasks, and Wages. Journal of Labor Economics, 31, 59–96.

BLS (2015) Labor Force Statistics from the Current Population Survey. http://www.bls.gov/cps/faq.htm#Ques1.

Brynjolfsson, E. and McAfee, A. (2014) The Second Machine Age: Work, Progress, and Prosper- ity in a Time of Brilliant Technologies. W. W. Norton & Company, 1st edn . Corrado, C. A. and Hulten, C. R. (2015) How Do You Measure a "Technological Revolution"? American Economic Review, 100, 99–104.

Coyle, D. (2015) Commentary: Modernising Economic Statistics: Why It Matters. National Institute Economic Review, 234, F4–F7.

Coyle, D. (2016) The Sharing Economy in the UK. Tech. rep., Sharing Economy UK. Difallah, D. E., Catasta, M., Demartini, G., Ipeirotis, P. G. and Cudre-Mauroux, P. (2015) The Dynamics of Micro-Task Crowdsourcing: The case of Amazon MTurk. In International World Wide Web Conference (WWW), 238–247.

Elias, P. (1997) Occupational Classification (ISCO-88): Concepts, Methods, Reliability, Validity and Cross-National Comparability. OECD Publishing.

European Commission (2015) Online Platforms. https://ec.europa.eu/digital-single- market/en/online-platforms-digital-single-market.

Evans, D. and Schmalensee, R. (2016) Matchmakers: The New Economics of Multisided Plat- forms. Brighton, MA: Harvard Business Review Press.

Farrel, D. and Gregg, F. (2016) Paychecks, Paydays, and the Online Platform Economy: Big Data on Income Volatility. https://www.jpmorganchase.com/corporate/institute/report- paychecks-paydays-and-the-online-platform-economy.htm.

Friedman, J. H. and Hastie, T. (2010) Regularization Paths for Generalized Linear Models via Coordinate Descent. Journal of Statistical Software, 33, 1–22.

García, V., Mollineda, R. A. and Sánchez, J. S. (2009) Index of balanced accuracy: A perform- ance measure for skewed class distributions. In Lecture Notes in Computer Science, vol. 5524 LNCS, 441–448.

Groen, W. P. D. and Maselli, I. (2016) The Impact of the Collaborative Economy on the Labour Market. URL: https://www.ceps.eu/system/files/SR138CollaborativeEconomy_0.pdf.

Hastie, T., Tibshirani, R. and Friedman, J. (2008) The Elements of Statistical Learning. New York, NY: Springer, 2nd edn.

Hussmanns, R. (2007) Measurement of employment, unemployment and underemployment: Cur- rent international standards and issues in their application. URL: http://www.ilo.org/ global/statistics-and-databases/WCMS_088394/lang--en/index.htm.

Huws, U. and Joyce, S. (2016) Crowd Working Survey: Size of the UK’s "Gig Economy" revealed for the first time. ILO (2012) International Standard Classification of Occupations ISCO-08.

Ipeirotis, P. G. (2010) Analyzing the Amazon Mechanical Turk marketplace. XRDS: Crossroads, 17, 16–21.

Kokkodis, M. and Ipeirotis, P. G. (2015) Reputation Transferability in Online Labor Markets. Management Science, 1909, 1–20.

Kokkodis, M., Papadimitriou, P. and Ipeirotis, P. G. (2015) Hiring Behavior Models for Online Labor Markets. In Proceedings of the Eighth ACM International Conference on Web Search and Data Mining - WSDM ’15, 223–232.

Kuek, S. C., Paradi-Guilford, C., Fayomi, T., Imaizumi, S. and Ipeirotis, P. (2015) The Global Opportunity in Online Outsourcing. Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/2015/06/24702763/global-opportunity- online-outsourcing.

Lehdonvirta, V., Barnard, H., Graham, M. and Hjorth, I. (2014) Online labour markets - leveling the playing field for international service markets? URL: http://ipp.oii.ox.ac.uk/sites/ ipp/files/documents/IPP2014_Lehdonvirta_0.pdf.

Lehdonvirta, V. and Ernkvist, M. (2011) Knowledge Map of the Virtual Economy: Converting the Virtual Economy into Development Potential.

Lehdonvirta, V., Hjorth, I., Graham, M. and Barnard, H. (2015) Online Labour Markets and the Persistence of Personal Networks: Evidence From Workers in Southeast Asia. Tech. rep.

Parker, G., Van Alstyne, M. and Choudary, S. P. (2016) Platform revolution : how networked markets are transforming the economy and how to make them work for you.

Sundararajan, A. (2016) The Sharing Economy. MIT Press.

Susskind, R. and Susskind, D. (2015) The Future of the Professions - How Technology Will Transform the Work of Human Experts. Oxford, United Kingdom: Oxford University Press, 1st edn.

The Conference board (2016) The Conference Board Help Wanted OnLine® (HWOL). https://www.conference-board.org/data/helpwantedonline.cfm.

Tibshirani, R. (1996) Regression Shrinkage and Selection via the Lasso. Journal of the Royal Statistical Society. Series B (Methodological) Journal of the Royal Statistical Society. Series B J. R. Statist. Soc. B, 58, 267–288.

Wood, A., Graham, M. and Lehdonvirta, V. (2016) The New Frontier of Outsourcing: Online Labour Platforms and the Consequences for Poverty in the Global South. In Work, Employ- ment and Society Conference 6-8.9.2016, Leeds, U.K.