IDEAS home Printed from https://ideas.repec.org/a/psl/pslqrr/202045.html
   My bibliography  Save this article

What do tests of the relationship between employment and technical progress hide?

Author

Listed:
  • Jesus Felipe

    (Asian Development Bank)

  • Donna Faye Bajaro

    (Asian Development Bank)

  • Gemma Estrada

    (Asian Development Bank)

  • John McCombie

    (University of Cambridge)

Abstract

RThe debate about whether technical progress causes technological unemployment, as the Luddites argued in the early 19th century, has recently resurfaced in the context of new technologies and automation and the so-called Fourth Industrial Revolution. We review the main issues and then consider in detail the studies of Autor and Salomons (2017, 2018). They find that after both direct and indirect effects are accounted for, technical change is, on the aggregate, employment-augmenting. They find no evidence that technical change (proxied by the growth of productivity) reduces employment growth. We demonstrate that the regressions they estimate are problematic because they approximate an accounting identity. One or two variables in the identity (output growth or both output growth and capital growth) are omitted, which implies that the coefficient of productivity growth suffers from omitted-variable bias. As the omitted variable is known, we can have a good idea of what the statistical results must be. We conclude that, unfortunately, their work does not shed light on the question they address.

Suggested Citation

  • Jesus Felipe & Donna Faye Bajaro & Gemma Estrada & John McCombie, 2020. "What do tests of the relationship between employment and technical progress hide?," PSL Quarterly Review, Economia civile, vol. 73(295), pages 367-392.
  • Handle: RePEc:psl:pslqrr:2020:45
    as

    Download full text from publisher

    File URL: https://ojs.uniroma1.it/index.php/PSLQuarterlyReview/article/view/16727/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David Autor & Anna Salomons, 2018. "Is Automation Labor Share–Displacing? Productivity Growth, Employment, and the Labor Share," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 49(1 (Spring), pages 1-87.
    2. Ricardo, David, 1821. "On the Principles of Political Economy and Taxation," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, edition 3, number ricardo1821.
    3. Josh Bivens & Lawrence Mishel, 2013. "The Pay of Corporate Executives and Financial Professionals as Evidence of Rents in Top 1 Percent Incomes," Journal of Economic Perspectives, American Economic Association, vol. 27(3), pages 57-78, Summer.
    4. 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.
    5. Jesus Felipe & John McCombie, 2020. "The illusions of calculating total factor productivity and testing growth models: from Cobb-Douglas to Solow and Romer," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 43(3), pages 470-513, July.
    6. Mary O'Mahony & Marcel P. Timmer, 2009. "Output, Input and Productivity Measures at the Industry Level: The EU KLEMS Database," Economic Journal, Royal Economic Society, vol. 119(538), pages 374-403, June.
    7. Epstein,Gerald A. & Gintis,Herbert M., 2011. "Macroeconomic Policy after the Conservative Era," Cambridge Books, Cambridge University Press, number 9780521148412, October.
    8. Franklin M. Fisher & Robert M. Solow & James M. Kearl, 1977. "Aggregate Production Functions: Some CES Experiments," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 44(2), pages 305-320.
    9. Daron Acemoglu & Pascual Restrepo, 2017. "Robots and Jobs: Evidence from US Labor Markets," Boston University - Department of Economics - Working Papers Series dp-297, Boston University - Department of Economics.
    10. 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.
    11. Michele Boldrin & David K. Levine, 2013. "The Case against Patents," Journal of Economic Perspectives, American Economic Association, vol. 27(1), pages 3-22, Winter.
    12. Jesus Felipe & Franklin M. Fisher, 2003. "Aggregation in Production Functions: What Applied Economists should Know," Metroeconomica, Wiley Blackwell, vol. 54(2‐3), pages 208-262, May.
    13. Felipe, Jesus & McCombie, J. S. L., 2001. "Biased Technical Change, Growth Accounting, and the Conundrum of the East Asian Miracle," Journal of Comparative Economics, Elsevier, vol. 29(3), pages 542-565, September.
    14. David Autor & Anna Salomons, 2018. "Is Automation Labor-Displacing? Productivity Growth, Employment, and the Labor Share," NBER Working Papers 24871, National Bureau of Economic Research, Inc.
    15. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    16. Fisher, Franklin M, 1971. "Aggregate Production Functions and the Explanation of Wages: A Simulation Experiment," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 305-325, November.
    17. Nadiri, M Ishaq, 1970. "Some Approaches to the Theory and Measurement of Total Factor Productivity: A Survey," Journal of Economic Literature, American Economic Association, vol. 8(4), pages 1137-1177, December.
    18. Engelbert Stockhammer, 2017. "Determinants of the Wage Share: A Panel Analysis of Advanced and Developing Economies," British Journal of Industrial Relations, London School of Economics, vol. 55(1), pages 3-33, March.
    19. Avi J. Cohen, 2003. "Retrospectives: Whatever Happened to the Cambridge Capital Theory Controversies?," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 199-214, Winter.
    20. David Rezza Baqaee & Emmanuel Farhi, 2019. "JEEA-FBBVA Lecture 2018: The Microeconomic Foundations of Aggregate Production Functions," Journal of the European Economic Association, European Economic Association, vol. 17(5), pages 1337-1392.
    21. Nelson, Richard R, 1973. "Recent Exercises in Growth Accounting: New Understanding or Dead End?," American Economic Review, American Economic Association, vol. 63(3), pages 462-468, June.
    22. Harcourt, G C, 1976. "The Cambridge Controversies: Old Ways and New Horizons-Or Dead End?," Oxford Economic Papers, Oxford University Press, vol. 28(1), pages 25-65, March.
    23. repec:bin:bpeajo:v:49:y:2019:i:2018-01:p:1-87 is not listed on IDEAS
    24. Jesus Felipe & John S.L. McCombie, 2013. "The Aggregate Production Function and the Measurement of Technical Change," Books, Edward Elgar Publishing, number 1975.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jesus Felipe & Donna Faye Bajaro & Gemma Estrada & John McCombie, 2020. "The Relationship between Technical Progress and Employment: A Comment on Autor and Salomons," Economics Working Paper Archive wp_946, Levy Economics Institute.
    2. Jesus Felipe & John S.L. McCombie, 2013. "The Aggregate Production Function and the Measurement of Technical Change," Books, Edward Elgar Publishing, number 1975.
    3. Davide Dottori, 2021. "Robots and employment: evidence from Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 739-795, July.
    4. Gasteiger, Emanuel & Prettner, Klaus, 2022. "Automation, Stagnation, And The Implications Of A Robot Tax," Macroeconomic Dynamics, Cambridge University Press, vol. 26(1), pages 218-249, January.
    5. Jesus Felipe & John S. L. McCombie, 2007. "Is A Theory Of Total Factor Productivity Really Needed?," Metroeconomica, Wiley Blackwell, vol. 58(1), pages 195-229, February.
    6. Dario Cords & Klaus Prettner, 2022. "Technological unemployment revisited: automation in a search and matching framework [The future of work: meeting the global challenges of demographic change and automation]," Oxford Economic Papers, Oxford University Press, vol. 74(1), pages 115-135.
    7. Jesus Felipe & Franklin M. Fisher, 2003. "Aggregation in Production Functions: What Applied Economists should Know," Metroeconomica, Wiley Blackwell, vol. 54(2‐3), pages 208-262, May.
    8. Martin Labaj & Materj Vitalos, 2019. "Automation and labor demand in European countries: A task-based approach to wage bill decomposition," Department of Economic Policy Working Paper Series 021, Department of Economic Policy, Faculty of National Economy, University of Economics in Bratislava.
    9. Robert Stehrer, 2022. "The Impact of ICT and Intangible Capital Accumulation on Labour Demand Growth and Functional Income Shares," wiiw Working Papers 218, The Vienna Institute for International Economic Studies, wiiw.
    10. Geiger, Niels & Prettner, Klaus & Schwarzer, Johannes A., 2018. "Automatisierung, Wachstum und Ungleichheit," Hohenheim Discussion Papers in Business, Economics and Social Sciences 13-2018, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    11. repec:bin:bpeajo:v:49:y:2019:i:2018-01:p:1-87 is not listed on IDEAS
    12. Goos, Maarten & Rademakers, Emilie & Röttger, Ronja, 2021. "Routine-Biased technical change: Individual-Level evidence from a plant closure," Research Policy, Elsevier, vol. 50(7).
    13. Fedorets Alexandra & Kirchner Stefan & Adriaans Jule & Giering Oliver, 2022. "Data on Digital Transformation in the German Socio-Economic Panel," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 242(5-6), pages 691-705, December.
    14. David Autor & Anna Salomons, 2018. "Is Automation Labor Share–Displacing? Productivity Growth, Employment, and the Labor Share," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 49(1 (Spring), pages 1-87.
    15. Gries, Thomas & Naudé, Wim, 2022. "Modelling artificial intelligence in economics," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 56, pages 1-12.
    16. Dekle, Robert, 2020. "Robots and industrial labor: Evidence from Japan," Journal of the Japanese and International Economies, Elsevier, vol. 58(C).
    17. Grigoli, Francesco & Koczan, Zsoka & Topalova, Petia, 2020. "Automation and labor force participation in advanced economies: Macro and micro evidence," European Economic Review, Elsevier, vol. 126(C).
    18. Cebreros Alfonso & Heffner-Rodríguez Aldo & Livas René & Puggioni Daniela, 2020. "Automation Technologies and Employment at Risk: The Case of Mexico," Working Papers 2020-04, Banco de México.
    19. Aina Gallego & Thomas Kurer & Nikolas Schöll, 2018. "Not so disruptive after all: How workplace digitalization affects political preferences," Economics Working Papers 1623, Department of Economics and Business, Universitat Pompeu Fabra.
    20. Dosi, G. & Piva, M. & Virgillito, M.E. & Vivarelli, M., 2021. "Embodied and disembodied technological change: The sectoral patterns of job-creation and job-destruction," Research Policy, Elsevier, vol. 50(4).
    21. Krenz, Astrid & Prettner, Klaus & Strulik, Holger, 2021. "Robots, reshoring, and the lot of low-skilled workers," European Economic Review, Elsevier, vol. 136(C).

    More about this item

    Keywords

    employment; labor productivity; technical progress; total factor productivity;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:psl:pslqrr:2020:45. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Carlo D'Ippoliti (email available below). General contact details of provider: http://www.economiacivile.it .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.