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The polarisation of remote work

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  • Braesemann, Fabian
  • Stephany, Fabian
  • Teutloff, Ole
  • Kässi, Otto
  • Graham, Mark
  • Lehdonvirta, Vili

Abstract

The Covid-19 pandemic has led to the rise of remote work with consequences for the global division of work. Remote work could connect labour markets, but it could also increase spatial polarisation. However, our understanding of the geographies of remote work is limited. Specifically, does remote work bring jobs to rural areas or is it concentrating in large cities, and how do skill requirements affect competition for jobs and wages? We use data from a fully remote labour market - an online labour platform - to show that remote work is polarised along three dimensions. First, countries are globally divided: North American, European, and South Asian remote workers attract most jobs, while many Global South countries participate only marginally. Secondly, remote jobs are pulled to urban regions; rural areas fall behind. Thirdly, remote work is polarised along the skill axis: workers with in-demand skills attract profitable jobs, while others face intense competition and obtain low wages. The findings suggest that remote work is shaped by agglomerative forces, which are deepening the gap between urban and rural areas. To make remote work an effective tool for rural development, it needs to be embedded in local skill-building and labour market programmes.

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  • Braesemann, Fabian & Stephany, Fabian & Teutloff, Ole & Kässi, Otto & Graham, Mark & Lehdonvirta, Vili, 2021. "The polarisation of remote work," SocArXiv q8a96, Center for Open Science.
  • Handle: RePEc:osf:socarx:q8a96
    DOI: 10.31219/osf.io/q8a96
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    1. 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.
    2. Christopher T. Stanton & Catherine Thomas, 2016. "Landing the First Job: The Value of Intermediaries in Online Hiring," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(2), pages 810-854.
    3. Ejaz Ghani & William R. Kerr & Christopher Stanton, 2014. "Diasporas and Outsourcing: Evidence from oDesk and India," Management Science, INFORMS, vol. 60(7), pages 1677-1697, July.
    4. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    5. 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.
    6. Lukac, Martin & Grow, André, 2020. "Reputation systems and recruitment in online labor markets: insights from an agent-based model," LSE Research Online Documents on Economics 114454, London School of Economics and Political Science, LSE Library.
    7. Lingfang (Ivy) Li & Steven Tadelis & Xiaolan Zhou, 2020. "Buying reputation as a signal of quality: Evidence from an online marketplace," RAND Journal of Economics, RAND Corporation, vol. 51(4), pages 965-988, December.
    8. 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.
    9. 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.
    10. Kässi, Otto & Lehdonvirta, Vili, 2018. "Do Digital Skill Certificates Help New Workers Enter the Market? Evidence from an Online Labour Platform," SocArXiv 7tybd, Center for Open Science.
    11. Rani Uma & Furrer Marianne, 2019. "On-Demand Digital Economy: Can Experience Ensure Work and Income Security for Microtask Workers?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(3), pages 565-597, June.
    12. Alan S. Blinder, 2009. "How Many US Jobs Might be Offshorable?," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 10(2), pages 41-78, April.
    13. 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.
    14. Agrawal, Ajay & Lacetera, Nicola & Lyons, Elizabeth, 2016. "Does standardized information in online markets disproportionately benefit job applicants from less developed countries?," Journal of International Economics, Elsevier, vol. 103(C), pages 1-12.
    15. Andrew Bell & Malcolm Fairbrother & Kelvyn Jones, 2019. "Fixed and random effects models: making an informed choice," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 1051-1074, March.
    16. Yili Hong & Paul A. Pavlou, 2017. "On Buyer Selection of Service Providers in Online Outsourcing Platforms for IT Services," Information Systems Research, INFORMS, vol. 28(3), pages 547-562, September.
    17. 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.
    18. Borchert, Kathrin & Hirth, Matthias & Kummer, Michael E. & Laitenberger, Ulrich & Slivko, Olga & Viete, Steffen, 2018. "Unemployment and online labor," ZEW Discussion Papers 18-023, ZEW - Leibniz Centre for European Economic Research.
    19. Cantarella, Michele & Strozzi, Chiara, 2019. "Workers in the Crowd: The Labour Market Impact of the Online Platform Economy," IZA Discussion Papers 12327, Institute of Labor Economics (IZA).
    20. Steven Tadelis, 2016. "Reputation and Feedback Systems in Online Platform Markets," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 321-340, October.
    21. Amanda Pallais, 2014. "Inefficient Hiring in Entry-Level Labor Markets," American Economic Review, American Economic Association, vol. 104(11), pages 3565-3599, November.
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    More about this item

    JEL classification:

    • F6 - International Economics - - Economic Impacts of Globalization
    • F16 - International Economics - - Trade - - - Trade and Labor Market Interactions
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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