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Technology and the Future of Work

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  • Mr. Adrian Peralta Alva
  • Agustin Roitman

Abstract

This paper uses a DSGE model to simulate the impact of technological change on labor markets and income distribution. It finds that technological advances offers prospects for stronger productivity and growth, but brings risks of increased income polarization. This calls for inclusive policies tailored to country-specific circumstances and preferences, such as investment in human capital to facilitate retooling of low-skilled workers so that they can partake in the gains of technological change, and redistributive policies (such as differentiated income tax cuts) to help reallocate gains. Policies are also needed to facilitate the process of adjustment.

Suggested Citation

  • Mr. Adrian Peralta Alva & Agustin Roitman, 2018. "Technology and the Future of Work," IMF Working Papers 2018/207, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2018/207
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    1. David H. Autor & David Dorn & Gordon H. Hanson, 2016. "The China Shock: Learning from Labor-Market Adjustment to Large Changes in Trade," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 205-240, October.
    2. Nicholas Bloom & Charles I. Jones & John Van Reenen & Michael Webb, 2020. "Are Ideas Getting Harder to Find?," American Economic Review, American Economic Association, vol. 110(4), pages 1104-1144, April.
    3. Dominique Guellec, 2020. "Digital Innovation and the Distribution of Income," NBER Chapters, in: Measuring and Accounting for Innovation in the Twenty-First Century, pages 323-370, National Bureau of Economic Research, Inc.
    4. Gilbert Cette & Jimmy Lopez & Jacques Mairesse, 2016. "Labour Market Regulations and Capital Intensity," NBER Working Papers 22603, National Bureau of Economic Research, Inc.
    5. Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2016. "The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis," OECD Social, Employment and Migration Working Papers 189, OECD Publishing.
    6. Deborah Goldschmidt & Johannes F. Schmieder, 2017. "The Rise of Domestic Outsourcing and the Evolution of the German Wage Structure," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(3), pages 1165-1217.
    7. Germán Gutiérrez & Thomas Philippon, 2017. "Investmentless Growth: An Empirical Investigation," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 48(2 (Fall)), pages 89-190.
    8. 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.
    9. Mary Hallward-Driemeier & Gaurav Nayyar, 2017. "Trouble in the Making?," World Bank Publications - Books, The World Bank Group, number 27946, December.
    10. Bengtsson, Erik & Waldenström, Daniel, 2018. "Capital Shares and Income Inequality: Evidence from the Long Run," The Journal of Economic History, Cambridge University Press, vol. 78(3), pages 712-743, September.
    11. Arindrajit Dube & Ethan Kaplan, 2010. "Does Outsourcing Reduce Wages in the Low-Wage Service Occupations? Evidence from Janitors and Guards," ILR Review, Cornell University, ILR School, vol. 63(2), pages 287-306, January.
    12. Charles Goodhart & Manoj Pradhan, 2017. "Demographics will reverse three multi-decade global trends," BIS Working Papers 656, Bank for International Settlements.
    13. 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.
    14. Ahn, JaeBin & Duval, Romain, 2017. "Trading with China: Productivity gains, job losses," Economics Letters, Elsevier, vol. 160(C), pages 38-42.
    15. Dan Andrews & Chiara Criscuolo & Peter N. Gal, 2015. "Frontier Firms, Technology Diffusion and Public Policy: Micro Evidence from OECD Countries," OECD Productivity Working Papers 2, OECD Publishing.
    16. 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.
    17. Hanushek, Eric A, 1986. "The Economics of Schooling: Production and Efficiency in Public Schools," Journal of Economic Literature, American Economic Association, vol. 24(3), pages 1141-1177, September.
    18. Berg, Andrew & Buffie, Edward F. & Zanna, Luis-Felipe, 2018. "Should we fear the robot revolution? (The correct answer is yes)," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 117-148.
    19. Goodhart, Charles & Pradhan, Manoj, 2017. "Demographics will reverse three multi-decade global trends," LSE Research Online Documents on Economics 84208, London School of Economics and Political Science, LSE Library.
    20. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2018. "Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 23-57, National Bureau of Economic Research, Inc.
    21. Gilbert Cette & Jimmy Lopez & Jacques Mairesse, 2016. "Labour Market Regulations and Capital Intensity," NBER Working Papers 22603, National Bureau of Economic Research, Inc.
    22. Jan De Loecker & Jan Eeckhout & Gabriel Unger, 2020. "The Rise of Market Power and the Macroeconomic Implications [“Econometric Tools for Analyzing Market Outcomes”]," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(2), pages 561-644.
    23. Dennis W. Jansen (ed.), 2006. "The New Economy and Beyond," Books, Edward Elgar Publishing, number 3965.
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    Cited by:

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    2. Dreger, Christian & Fourné, Marius & Holtemöller, Oliver, 2023. "Globalization, productivity growth, and labor compensation," IWH Discussion Papers 7/2022, Halle Institute for Economic Research (IWH), revised 2023.
    3. Ergül, Özgür & Göksel, Türkmen, 2020. "The effects of technological development on the labor share of national income," Economic Modelling, Elsevier, vol. 87(C), pages 158-171.
    4. Gizem Akar & Giorgia Casalone & Martin Zagler, 2023. "You have been terminated: robots, work, and taxation," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 70(3), pages 283-300, September.
    5. Barbara Bratta & Livio Romano & Paolo Acciari & Francesca Mazzolari, 2020. "The Impact of Digitalization Policies. Evidence from Italy�s Hyper-depreciation of Industry 4.0 Investments," Working Papers wp2020-6, Ministry of Economy and Finance, Department of Finance.
    6. Nakatani, Ryota, 2022. "Optimal fiscal policy in the automated economy," MPRA Paper 115003, University Library of Munich, Germany.
    7. Auktor, Georgeta Vidican, 2022. "The opportunities and challenges of Industry 4.0 for industrial development: A case study of Morocco's automotive and garment sectors," IDOS Discussion Papers 2/2022, German Institute of Development and Sustainability (IDOS).

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