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Is the Covid-19 pandemic fast-tracking automation in developing countries? Evidence from Colombia

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Listed:
  • Leonardo Bonilla
  • Luz A Flórez
  • Didier Hermida
  • Francisco Lasso
  • Leonardo Fabio Morales
  • Juan Jose Ospina
  • José Pulido

Abstract

This paper assesses whether the Covid-19 pandemic accelerated automation in developing countries. We studied the case of Colombia, a country with low R&D and productivity and with high labor informality and unemployment. We estimated event-study models to assess the differential effect of the pandemic on job openings and salaried employment by the potential degree of automation of each occupation. Our results suggest that both vacancies and salaried employment fell more in highly automatable occupations during the pandemic and have since experienced a slower recovery. The effect of the pandemic on automation is mostly driven by sectors that were affected by mobility restrictions. We also found heterogeneous effects by age and gender. The acceleration of automation is mainly affecting the labor market for females and individuals over the age of 40. Finally, we explored the differential effect on occupations with wages around the minimum wage. We found that occupations with wages close to the minimum wage exhibit the highest effect, especially at the onset of the pandemic.

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  • Leonardo Bonilla & Luz A Flórez & Didier Hermida & Francisco Lasso & Leonardo Fabio Morales & Juan Jose Ospina & José Pulido, 2022. "Is the Covid-19 pandemic fast-tracking automation in developing countries? Evidence from Colombia," BIS Working Papers 1048, Bank for International Settlements.
  • Handle: RePEc:bis:biswps:1048
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    1. Lei Ding & Julieth Saenz Molina, 2020. "“Forced Automation” by COVID-19? Early Trends from Current Population Survey Data," Community Affairs Discussion Paper 88713, Federal Reserve Bank of Philadelphia.
    2. Joseph Zeira, 1998. "Workers, Machines, and Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1091-1117.
    3. Christopher A. Pissarides & Barbara Petrongolo, 2001. "Looking into the Black Box: A Survey of the Matching Function," Journal of Economic Literature, American Economic Association, vol. 39(2), pages 390-431, June.
    4. Autor, David H., 2013. "The "task approach" to labor markets : an overview," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 46(3), pages 185-199.
    5. Sotiris Blanas & Gino Gancia & Sang Yoon (Tim) Lee, 2019. "Who is afraid of machines?," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 34(100), pages 627-690.
    6. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    7. Brad Hershbein & Lisa B. Kahn, 2018. "Do Recessions Accelerate Routine-Biased Technological Change? Evidence from Vacancy Postings," American Economic Review, American Economic Association, vol. 108(7), pages 1737-1772, July.
    8. Alex Chernoff & Casey Warman, 2023. "COVID-19 and implications for automation," Applied Economics, Taylor & Francis Journals, vol. 55(17), pages 1939-1957, April.
    9. Elena Carletti & Tommaso Oliviero & Marco Pagano & Loriana Pelizzon & Marti G Subrahmanyam, 2020. "The COVID-19 Shock and Equity Shortfall: Firm-Level Evidence from Italy," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 9(3), pages 534-568.
    10. Daron Acemoglu & Fabrizio Zilibotti, 2001. "Productivity Differences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 563-606.
    11. Daron Acemoglu & Pascual Restrepo, 2018. "Low-Skill and High-Skill Automation," Journal of Human Capital, University of Chicago Press, vol. 12(2), pages 204-232.
    12. Alexander W. Bartik & Marianne Bertrand & Zoë B. Cullen & Edward L. Glaeser & Michael Luca & Christopher T. Stanton, 2020. "How Are Small Businesses Adjusting to COVID-19? Early Evidence from a Survey," NBER Working Papers 26989, National Bureau of Economic Research, Inc.
    13. 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.
    14. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    15. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    16. Leonardo Fabio Morales & Leonardo Bonilla‐Mejía & Jose Pulido & Luz A. Flórez & Didier Hermida & Karen L. Pulido‐Mahecha & Francisco Lasso‐Valderrama, 2022. "Effects of the COVID‐19 pandemic on the Colombian labour market: Disentangling the effect of sector‐specific mobility restrictions," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 308-357, February.
    17. Jose Cuesta & Julieth Pico, 2020. "The Gendered Poverty Effects of the COVID-19 Pandemic in Colombia," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 32(5), pages 1558-1591, December.
    18. Miyakawa, Daisuke & Oikawa, Koki & Ueda, Kozo, 2021. "Firm Exit during the COVID-19 Pandemic: Evidence from Japan," Journal of the Japanese and International Economies, Elsevier, vol. 59(C).
    19. Jessica Gallant & Kory Kroft & Fabian Lange & Matthew J. Notowidigdo, 2020. "Temporary Unemployment and Labor Market Dynamics during the COVID-19 Recession," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(3 (Fall)), pages 167-226.
    20. Dolado, Juan J. & Felgueroso, Florentino & Jimeno, Juan F., 2020. "The Spanish Labour Market at the Crossroads: COVID-19 Meets the Megatrends," IZA Discussion Papers 13869, Institute of Labor Economics (IZA).
    21. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    22. James G. MacKinnon & Matthew D. Webb, 2017. "Wild Bootstrap Inference for Wildly Different Cluster Sizes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 233-254, March.
    23. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    24. Prettner, Klaus & Strulik, Holger, 2020. "Innovation, automation, and inequality: Policy challenges in the race against the machine," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 249-265.
    25. Damian Clarke & Kathya Tapia-Schythe, 2021. "Implementing the panel event study," Stata Journal, StataCorp LP, vol. 21(4), pages 853-884, December.
    26. Erik Brynjolfsson & John J. Horton & Adam Ozimek & Daniel Rock & Garima Sharma & Hong-Yi TuYe, 2020. "COVID-19 and Remote Work: An Early Look at US Data," NBER Working Papers 27344, National Bureau of Economic Research, Inc.
    27. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    28. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2017. "Revisiting the risk of automation," Economics Letters, Elsevier, vol. 159(C), pages 157-160.
    29. Carlo Pizzinelli & Mr. Ippei Shibata, 2022. "Has COVID-19 Induced Labor Market Mismatch? Evidence from the US and the UK," IMF Working Papers 2022/005, International Monetary Fund.
    30. Tahsin Saadi Sedik, 2021. "Pandemics and Automation: Will the Lost Jobs Come Back?," IMF Working Papers 2021/011, International Monetary Fund.
    31. Aymerich-Franch, Laura & Ferrer, Iliana, 2022. "Liaison, safeguard, and well-being: Analyzing the role of social robots during the COVID-19 pandemic," Technology in Society, Elsevier, vol. 70(C).
    32. Ljubica Nedelkoska & Glenda Quintini, 2018. "Automation, skills use and training," OECD Social, Employment and Migration Working Papers 202, OECD Publishing.
    33. Monica Costa Dias & Robert Joyce & Fabien Postel‐Vinay & Xiaowei Xu, 2020. "The Challenges for Labour Market Policy during the COVID‐19 Pandemic," Fiscal Studies, John Wiley & Sons, vol. 41(2), pages 371-382, June.
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    Cited by:

    1. Central Bank of Colombia, 2023. "The labour market in Colombia: trends, cyclical patterns and the role of wages in the recent inflationary surge," BIS Papers chapters, in: Bank for International Settlements (ed.), Inflation and labour markets, volume 127, pages 103-134, Bank for International Settlements.

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    More about this item

    Keywords

    automation; pandemic; vacancies; employment;
    All these keywords.

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General

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