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Biased Technological Change and Employment Reallocation

Author

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  • Zsofia Barany

    (ECON - Département d'économie (Sciences Po) - Sciences Po - Sciences Po - CNRS - Centre National de la Recherche Scientifique)

  • Christian Siegel

    (University of Kent [Canterbury])

Abstract

To study the drivers of the employment reallocation across sectors and occupations between 1960 and 2017 in the US we present a model where technology evolves at the sector-occupation cell level. Drawing on key equations of the production side we infer technologies directly from the data. We assess the magnitude of neutral, sector-, and occupation-specific components in technological change and study their consequences for labor market outcomes in general equilibrium where occupational choice and demands for sectoral outputs change endogenously with technology. Our findings indicate a major role for occupation-specific technological changes.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

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  • Zsofia Barany & Christian Siegel, 2018. "Biased Technological Change and Employment Reallocation," SciencePo Working papers Main hal-03567377, HAL.
  • Handle: RePEc:hal:spmain:hal-03567377
    Note: View the original document on HAL open archive server: https://sciencespo.hal.science/hal-03567377
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    Cited by:

    1. Werner Pena & Christian Siegel, 2023. "Routine-biased technical change, structure of employment, and cross-country income differences," Studies in Economics 2301, School of Economics, University of Kent.
    2. Cnossen, Femke & Piracha, Matloob & Tchuente, Guy, 2021. "Learning the Right Skill: The Returns to Social, Technical and Basic Skills for Middle-Educated Graduates," GLO Discussion Paper Series 979, Global Labor Organization (GLO).
    3. Arntz , Melanie & Findeisen, Sebastian & Maurer, Stephan & Schlenker, Oliver, 2024. "Are We Yet Sick of New Technologies? The Unequal Health Effects of Digitalization," CEPR Discussion Papers 18913, C.E.P.R. Discussion Papers.
    4. Antonio Martins-Neto & Nanditha Mathew & Pierre Mohnen & Tania Treibich, 2024. "Is There Job Polarization in Developing Economies? A Review and Outlook," The World Bank Research Observer, World Bank, vol. 39(2), pages 259-288.
    5. Daron Acemoglu & Pascual Restrepo, 2022. "Tasks, Automation, and the Rise in U.S. Wage Inequality," Econometrica, Econometric Society, vol. 90(5), pages 1973-2016, September.
    6. Michael J Böhm & Terry Gregory & Pamela Qendrai & Christian Siegel, 2021. "Demographic change and regional labour markets," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 37(1), pages 113-131.
    7. Wang, Ting & Zhang, Yi & Liu, Chun, 2024. "Robot adoption and employment adjustment: Firm-level evidence from China," China Economic Review, Elsevier, vol. 84(C).
    8. Náplava Radek, 2019. "Changing structure of Employment in Europe: Polarization Issue," Review of Economic Perspectives, Sciendo, vol. 19(4), pages 307-318, December.
    9. Rob Davies & Dirk van Seventer, 2020. "Labour market polarization in South Africa: A decomposition analysis," WIDER Working Paper Series wp-2020-17, World Institute for Development Economic Research (UNU-WIDER).
    10. Yang Shen, 2024. "Future jobs: analyzing the impact of artificial intelligence on employment and its mechanisms," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-33, April.

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    More about this item

    JEL classification:

    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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