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The Role of Technological Change in the Evolution of the Employment to Output Elasticity

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  • Egana-delSol, Pablo

    (Adolfo Ibanez University)

  • Micco, Alejandro

    (University of Chile)

Abstract

The employment to output elasticity has risen from 0.65 during the 1960s and 1970s to 1.25 in the last two decades. We study the role of recent technological change in the evolution of this elasticity along the business cycle. Using the Covid-19-induced shock and an instrumental variable approach as sources of identification, we find that recent technologies augment the employment to output elasticity. We find that employment in sectors characterized with occupations with a high risk of automation are the most affected and that this effect is larger in sectors that have undergone a technology-capital deepening process in the last decades.

Suggested Citation

  • Egana-delSol, Pablo & Micco, Alejandro, 2024. "The Role of Technological Change in the Evolution of the Employment to Output Elasticity," IZA Discussion Papers 17003, IZA Network @ LISER.
  • Handle: RePEc:iza:izadps:dp17003
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    1. Coibion, Olivier & Gorodnichenko, Yuriy & Weber, Michael, 2020. "Labor Markets During the Covid-19 Crisis: A Preliminary View," Department of Economics, Working Paper Series qt7rx7t91p, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    2. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    3. Louis-Philippe Beland & Abel Brodeur & Taylor Wright, 2023. "The short-term economic consequences of COVID-19: Exposure to disease, remote work and government response," PLOS ONE, Public Library of Science, vol. 18(3), pages 1-32, March.
    4. Forsythe, Eliza & Kahn, Lisa B. & Lange, Fabian & Wiczer, David, 2020. "Labor demand in the time of COVID-19: Evidence from vacancy postings and UI claims," Journal of Public Economics, Elsevier, vol. 189(C).
    5. Nir Jaimovich & Henry E. Siu, 2020. "Job Polarization and Jobless Recoveries," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 129-147, March.
    6. Thomas Hale & Noam Angrist & Rafael Goldszmidt & Beatriz Kira & Anna Petherick & Toby Phillips & Samuel Webster & Emily Cameron-Blake & Laura Hallas & Saptarshi Majumdar & Helen Tatlow, 2021. "A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker)," Nature Human Behaviour, Nature, vol. 5(4), pages 529-538, April.
    7. Alan B. Krueger, 1993. "How Computers Have Changed the Wage Structure: Evidence from Microdata, 1984–1989," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(1), pages 33-60.
    8. Simon Mongey & Laura Pilossoph & Alexander Weinberg, 2021. "Which workers bear the burden of social distancing?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(3), pages 509-526, September.
    9. Daron Acemoglu & Simon Johnson & James Robinson, 2003. "Disease and Development in Historical Perspective," Journal of the European Economic Association, MIT Press, vol. 1(2-3), pages 397-405, 04/05.
    10. Egana-delSol, Pablo & Bravo-Ortega, Claudio, 2025. "Artificial Intelligence and Labor Market Transformations in Latin America," IZA Discussion Papers 17746, IZA Network @ LISER.
    11. Michael W. L. Elsby & Bart Hobijn & Aysegul Sahin, 2010. "The Labor Market in the Great Recession," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 41(1 (Spring), pages 1-69.
    12. Kopytov, Alexandr & Roussanov, Nikolai & Taschereau-Dumouchel, Mathieu, 2018. "Short-run pain, long-run gain? Recessions and technological transformation," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 29-44.
    13. Jacobson, Louis S & LaLonde, Robert J & Sullivan, Daniel G, 1993. "Earnings Losses of Displaced Workers," American Economic Review, American Economic Association, vol. 83(4), pages 685-709, September.
    14. Titan Alon & Matthias Doepke & Jane Olmstead-Rumsey & Michèle Tertilt, 2020. "The Impact of COVID-19 on Gender Equality," NBER Working Papers 26947, National Bureau of Economic Research, Inc.
    15. Thiemo R. Fetzer & Marc Witte & Lukas Hensel & Jon Jachimowicz & Johannes Haushofer & Andriy Ivchenko & Stefano Caria & Elena Reutskaja & Christopher P. Roth & Stefano Fiorin & Margarita Gómez & Gordo, 2020. "Global Behaviors and Perceptions at the Onset of the COVID-19 Pandemic," NBER Working Papers 27082, National Bureau of Economic Research, Inc.
    16. Oscar Jorda & Sanjay R. Singh & Alan M. Taylor, 2022. "Longer-Run Economic Consequences of Pandemics," The Review of Economics and Statistics, MIT Press, vol. 104(1), pages 166-175, March.
    17. 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.
    18. Hensvik, Lena & Le Barbanchon, Thomas & Rathelot, Roland, 2020. "Which jobs are done from home? Evidence from the American Time Use Survey?," The Warwick Economics Research Paper Series (TWERPS) 1261, University of Warwick, Department of Economics.
    19. Stefano Ramelli & Alexander F Wagner, 2020. "Feverish Stock Price Reactions to COVID-19," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 9(3), pages 622-655.
    20. Mutascu, Mihai, 2021. "Artificial intelligence and unemployment: New insights," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 653-667.
    21. Louis S. Jacobson & Robert J. LaLonde & Daniel G. Sullivan, 1993. "Long-term earnings losses of high-seniority displaced workers," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 17(Nov), pages 2-20.
    22. Pindyck, Robert S, 1988. "Irreversible Investment, Capacity Choice, and the Value of the Firm," American Economic Review, American Economic Association, vol. 78(5), pages 969-985, December.
    23. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    24. 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.
    25. Ben Bernanke & Olivier Blanchard, 2025. "What Caused the US Pandemic-Era Inflation?," American Economic Journal: Macroeconomics, American Economic Association, vol. 17(3), pages 1-35, July.
    26. Egana-delSol, Pablo & Bustelo, Monserrat & Ripani, Laura & Soler, Nicolas & Viollaz, Mariana, 2022. "Automation in Latin America: Are Women at Higher Risk of Losing Their Jobs?," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    27. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    28. Paul Goldsmith-Pinkham & Isaac Sorkin & Henry Swift, 2020. "Bartik Instruments: What, When, Why, and How," American Economic Review, American Economic Association, vol. 110(8), pages 2586-2624, August.
    29. Fang, Hanming & Wang, Long & Yang, Yang, 2020. "Human mobility restrictions and the spread of the Novel Coronavirus (2019-nCoV) in China," Journal of Public Economics, Elsevier, vol. 191(C).
    30. Egana-delSol, Pablo & Cruz, Gabriel & Micco, Alejandro, 2022. "COVID-19 and automation in a developing economy: Evidence from Chile," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    31. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation, and Work," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236, National Bureau of Economic Research, Inc.
    32. 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.
    33. Irlacher Michael & Koch Michael, 2021. "Working from Home, Wages, and Regional Inequality in the Light of COVID-19," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 241(3), pages 373-404, June.
    34. David Card & John E. DiNardo, 2002. "Skill-Biased Technological Change and Rising Wage Inequality: Some Problems and Puzzles," Journal of Labor Economics, University of Chicago Press, vol. 20(4), pages 733-783, October.
    35. Veronica Guerrieri & Guido Lorenzoni & Ludwig Straub & Iván Werning, 2022. "Macroeconomic Implications of COVID-19: Can Negative Supply Shocks Cause Demand Shortages?," American Economic Review, American Economic Association, vol. 112(5), pages 1437-1474, May.
    36. Clive Bell & Ramona Bruhns & Hans Gersbach, 2006. "Economic Growth, Education, and AIDS in Kenya : A Long-run Analysis," World Bank Publications - Reports 9088, The World Bank Group.
    37. Hans-Joachim Voth, 2013. "The Three Horsemen of Riches: Plague, War, and Urbanization in Early Modern Europe," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(2), pages 774-811.
    38. Timothy J. Bartik, 1991. "Who Benefits from State and Local Economic Development Policies?," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number wbsle.
    39. Görg, Holger & Hornok, Cecília & Montagna, Catia & Onwordi, George E., 2018. "Employment to output elasticities & reforms towards flexicurity: Evidence from OECD countries," Kiel Working Papers 2117, Kiel Institute for the World Economy.
    40. 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.
    41. Pindyck, Robert S, 1991. "Irreversibility, Uncertainty, and Investment," Journal of Economic Literature, American Economic Association, vol. 29(3), pages 1110-1148, September.
    42. Gabriel Chodorow-Reich & Johannes Wieland, 2020. "Secular Labor Reallocation and Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2245-2287.
    43. Ricardo J. Caballero & Eduardo M. R. A. Engel, 1993. "Microeconomic Adjustment Hazards and Aggregate Dynamics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(2), pages 359-383.
    44. Cooper, Russell & Haltiwanger, John & Willis, Jonathan L., 2015. "Dynamics of labor demand: Evidence from plant-level observations and aggregate implications," Research in Economics, Elsevier, vol. 69(1), pages 37-50.
    45. Jose Maria Barrero & Nicholas Bloom & Steven J. Davis, 2020. "COVID-19 Is Also a Reallocation Shock," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(2 (Summer), pages 329-383.
    46. Andrew Atkeson, 2020. "How Deadly is COVID-19? Understanding the Difficulties with Estimation of its Fatality Rate," Staff Report 598, Federal Reserve Bank of Minneapolis.
    47. Guglielmo Briscese & Nicola Lacetera & Mario Macis & Mirco Tonin, 2020. "Compliance with Covid-19 Social-Distancing Measures in Italy: The Role of Expectations and Duration," CESifo Working Paper Series 8182, CESifo.
    48. Aditya Goenka & Lin Liu, 2012. "Infectious diseases and endogenous fluctuations," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 50(1), pages 125-149, May.
    49. Quamrul H. Ashraf & Ashley Lester & David N. Weil, 2009. "When Does Improving Health Raise GDP?," NBER Chapters, in: NBER Macroeconomics Annual 2008, Volume 23, pages 157-204, National Bureau of Economic Research, Inc.
    50. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
    51. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2017. "Revisiting the risk of automation," Economics Letters, Elsevier, vol. 159(C), pages 157-160.
    52. Ricardo J. Caballero & Mohamad L. Hammour, 1996. "On the Timing and Efficiency of Creative Destruction," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(3), pages 805-852.
    53. Charles Gottlieb & Jan Grobovsek & Markus Poschke, 2020. "Working from Home across Countries," Cahiers de recherche 07-2020, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    54. Zhang, Xinchun & Yu, Qi & Liu, Jianxu & He, Ying & Xu, Aijia, 2024. "The application of industrial robots and changes in capital-labour income disparity in China," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 42-56.
    55. O Blanchard & A Landier, 2002. "The Perverse Effects of Partial Labour Market Reform: fixed--Term Contracts in France," Economic Journal, Royal Economic Society, vol. 112(480), pages 214-244, June.
    56. Davide Furceri & Ernesto Crivelli & Mr. Joël Toujas-Bernate, 2012. "Can Policies Affect Employment Intensity of Growth? A Cross-Country Analysis," IMF Working Papers 2012/218, International Monetary Fund.
    57. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    58. Marta Lachowska & Alexandre Mas & Stephen A. Woodbury, 2020. "Sources of Displaced Workers' Long-Term Earnings Losses," American Economic Review, American Economic Association, vol. 110(10), pages 3231-3266, October.
    59. Peter Lorentzen & John McMillan & Romain Wacziarg, 2008. "Death and development," Journal of Economic Growth, Springer, vol. 13(2), pages 81-124, June.
    60. Caballero, Ricardo J & Hammour, Mohamad L, 1994. "The Cleansing Effect of Recessions," American Economic Review, American Economic Association, vol. 84(5), pages 1350-1368, December.
    61. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
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    2. Egana-delSol, Pablo & Bravo-Ortega, Claudio, 2026. "Artificial intelligence exposure and labor market transformations in Latin America," Technological Forecasting and Social Change, Elsevier, vol. 230(C).

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    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand

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