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Crowdwork for young people risks and opportunities

Author

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  • O'Higgins, Niall.
  • Pinedo Caro, Luis.

Abstract

In recent years, crowdworking has emerged as a small but rapidly growing source of employment and income principally for young(er) people. Here, we build on previous work in identifying the determinants of crowdworkers’ earnings. We focus on the reasons why young crowdworkers earn significantly higher hourly wages than their older counterparts. We show that this is due to the higher returns to experience accruing to younger crowd-workers. Educational attainment does not explain this age-based differential, as education is a negligible factor in determining crowdworkers’ earnings. We also analyse why young women earn around 20% less than their male counterparts despite blind hiring. We confirm that this is partly explained by constraints on working time faced by women with children. The analysis also shows that ‘freely chosen’ crowd work - as opposed to, young people crowd-working because of a lack of alternative employment opportunities - is conducive to higher levels of job satisfaction. Moreover, young crowdworkers in middle income countries earn less than their counterparts in high income countries but report higher levels of job satisfaction. This is entirely attributable to the lower quality of their options outside of crowdwork.

Suggested Citation

  • O'Higgins, Niall. & Pinedo Caro, Luis., 2022. "Crowdwork for young people risks and opportunities," ILO Working Papers 995167692802676, International Labour Organization.
  • Handle: RePEc:ilo:ilowps:995167692802676
    DOI: 10.54394/HZGG6446
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    References listed on IDEAS

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    1. Richard Williams, 2006. "Generalized ordered logit/partial proportional odds models for ordinal dependent variables," Stata Journal, StataCorp LP, vol. 6(1), pages 58-82, March.
    2. Berg, Janine., 2016. "Income security in the on-demand economy : findings and policy lessons from a survey of crowdworkers," ILO Working Papers 994906483402676, International Labour Organization.
    3. 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.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    youth employment; precarious employment; temporary employment; wages; job satisfaction;
    All these keywords.

    JEL classification:

    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • J41 - Labor and Demographic Economics - - Particular Labor Markets - - - Labor Contracts
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

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