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Is online job training for all? Experimental evidence on the effects of a Coursera program in Costa Rica

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  • Novella, Rafael
  • Rosas-Shady, David
  • Freund, Richard

Abstract

Massive open online courses (MOOCs) are frequently viewed as a tool for democratizing education and job training. However, their effectiveness is largely untested. We report on the first randomized evaluation of a job training program offering cost-free access to curated, short Coursera MOOCs and certificates. We find low course completion rates (10%), with males and wealthier individuals more likely to complete a course. Personalized reminders did not increase treatment take-up over a simple, standardized email reminder. Treatment has no significant effect on labour market outcomes roughly two years after the program. However, we find marginally significant evidence that treatment increases post-secondary education enrolment by 11%. Evidence on mechanisms suggests that this may be operating partially through the program motivating individuals who lacked sufficient skills to pursue further specialization.

Suggested Citation

  • Novella, Rafael & Rosas-Shady, David & Freund, Richard, 2024. "Is online job training for all? Experimental evidence on the effects of a Coursera program in Costa Rica," Journal of Development Economics, Elsevier, vol. 169(C).
  • Handle: RePEc:eee:deveco:v:169:y:2024:i:c:s0304387824000348
    DOI: 10.1016/j.jdeveco.2024.103285
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    as
    1. Bruno Crépon & Esther Duflo & Marc Gurgand & Roland Rathelot & Philippe Zamora, 2013. "Do Labor Market Policies have Displacement Effects? Evidence from a Clustered Randomized Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(2), pages 531-580.
    2. Dean Karlan & Margaret McConnell & Sendhil Mullainathan & Jonathan Zinman, 2016. "Getting to the Top of Mind: How Reminders Increase Saving," Management Science, INFORMS, vol. 62(12), pages 3393-3411, December.
    3. David McKenzie, 2017. "How Effective Are Active Labor Market Policies in Developing Countries? A Critical Review of Recent Evidence," The World Bank Research Observer, World Bank, vol. 32(2), pages 127-154.
    4. Jeffrey R. Kling & Jeffrey B. Liebman, 2004. "Experimental Analysis of Neighborhood Effects on Youth," Working Papers 1, Princeton University, Department of Economics, Industrial Relations Section..
    5. Girum Abebe & A Stefano Caria & Marcel Fafchamps & Paolo Falco & Simon Franklin & Simon Quinn, 2021. "Anonymity or Distance? Job Search and Labour Market Exclusion in a Growing African City [Endogenous Stratification in Randomized Experiments]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(3), pages 1279-1310.
    6. Eliana Carranza & Robert Garlick & Kate Orkin & Neil Rankin, 2022. "Job Search and Hiring with Limited Information about Workseekers' Skills," American Economic Review, American Economic Association, vol. 112(11), pages 3547-3583, November.
    7. David Card & Jochen Kluve & Andrea Weber, 2018. "What Works? A Meta Analysis of Recent Active Labor Market Program Evaluations," Journal of the European Economic Association, European Economic Association, vol. 16(3), pages 894-931.
    8. Kast, Felipe & Meier, Stephan & Pomeranz, Dina, 2018. "Saving more in groups: Field experimental evidence from Chile," Journal of Development Economics, Elsevier, vol. 133(C), pages 275-294.
    9. Bruno Crépon & Florencia Devoto & Esther Duflo & William Parienté, 2015. "Estimating the Impact of Microcredit on Those Who Take It Up: Evidence from a Randomized Experiment in Morocco," American Economic Journal: Applied Economics, American Economic Association, vol. 7(1), pages 123-150, January.
    10. David K. Evans & Fei Yuan, 2020. "How Big Are Effect Sizes in International Education Studies?," Working Papers 545, Center for Global Development, revised 01 Apr 2022.
    11. Abhijit V. Banerjee & Esther Duflo, 2014. "(Dis)organization and Success in an Economics MOOC," American Economic Review, American Economic Association, vol. 104(5), pages 514-518, May.
    12. Cilliers, Jacobus & Fleisch, Brahm & Kotze, Janeli & Mohohlwane, Nompumelelo & Taylor, Stephen & Thulare, Tsegofatso, 2022. "Can virtual replace in-person coaching? Experimental evidence on teacher professional development and student learning," Journal of Development Economics, Elsevier, vol. 155(C).
    13. Richard Blundell & Monica Costa Dias & Costas Meghir & John Van Reenen, 2004. "Evaluating the Employment Impact of a Mandatory Job Search Program," Journal of the European Economic Association, MIT Press, vol. 2(4), pages 569-606, June.
    14. Bacher-Hicks, Andrew & Goodman, Joshua & Mulhern, Christine, 2021. "Inequality in household adaptation to schooling shocks: Covid-induced online learning engagement in real time," Journal of Public Economics, Elsevier, vol. 193(C).
    15. Ximena Cadena & Antoinette Schoar, 2011. "Remembering to Pay? Reminders vs. Financial Incentives for Loan Payments," NBER Working Papers 17020, National Bureau of Economic Research, Inc.
    16. Rafael Novella & Graciana Rucci & Claudia Vazquez & David S. Kaplan, 2018. "Training Vouchers and Labour Market Outcomes in Chile," LABOUR, CEIS, vol. 32(2), pages 243-260, June.
    17. Laurel Wheeler & Robert Garlick & Eric Johnson & Patrick Shaw & Marissa Gargano, 2022. "LinkedIn(to) Job Opportunities: Experimental Evidence from Job Readiness Training," American Economic Journal: Applied Economics, American Economic Association, vol. 14(2), pages 101-125, April.
    18. Avitabile, Ciro & de Hoyos, Rafael, 2018. "The heterogeneous effect of information on student performance: Evidence from a randomized control trial in Mexico," Journal of Development Economics, Elsevier, vol. 135(C), pages 318-348.
    19. Patterson, Richard W., 2018. "Can behavioral tools improve online student outcomes? Experimental evidence from a massive open online course," Journal of Economic Behavior & Organization, Elsevier, vol. 153(C), pages 293-321.
    20. Heissel, Jennifer, 2016. "The relative benefits of live versus online delivery: Evidence from virtual algebra I in North Carolina," Economics of Education Review, Elsevier, vol. 53(C), pages 99-115.
    21. UN Women, 2015. "Progress of the World’s Women 2015-2016: Transforming Economies, Realizing Rights," Working Papers id:7688, eSocialSciences.
    22. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014. "Inference on Treatment Effects after Selection among High-Dimensional Controlsâ€," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(2), pages 608-650.
    23. Emily Breza & Arun G. Chandrasekhar, 2019. "Social Networks, Reputation, and Commitment: Evidence From a Savings Monitors Experiment," Econometrica, Econometric Society, vol. 87(1), pages 175-216, January.
    24. De Paola, Maria & Gioia, Francesca & Scoppa, Vincenzo, 2023. "Online teaching, procrastination and student achievement," Economics of Education Review, Elsevier, vol. 94(C).
    25. Daron Acemoglu & David Laibson & John A. List, 2014. "Equalizing Superstars: The Internet and the Democratization of Education," American Economic Review, American Economic Association, vol. 104(5), pages 523-527, May.
    26. David S. Lee, 2009. "Training, Wages, and Sample Selection: Estimating Sharp Bounds on Treatment Effects," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(3), pages 1071-1102.
    27. Wyatt Brooks & Kevin Donovan & Terence R. Johnson, 2018. "Mentors or Teachers? Microenterprise Training in Kenya," American Economic Journal: Applied Economics, American Economic Association, vol. 10(4), pages 196-221, October.
    28. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, October.
    29. Das, Narayan, 2021. "Training the disadvantaged youth and labor market outcomes: Evidence from Bangladesh," Journal of Development Economics, Elsevier, vol. 149(C).
    30. Robert Jensen, 2010. "The (Perceived) Returns to Education and the Demand for Schooling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(2), pages 515-548.
    31. repec:pri:indrel:dsp01m613mx58m is not listed on IDEAS
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    More about this item

    Keywords

    Job training; Online courses; Human capital;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education

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