IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/28681.html
   My bibliography  Save this paper

Technology and the Task Content of Jobs across the Development Spectrum

Author

Listed:
  • Julieta Caunedo
  • Elisa Keller
  • Yongseok Shin

Abstract

Technology is the driver of labor allocation across sectors and occupations. Is the impact of technological change on developing countries similar to its impact on developed countries? Will developing countries follow the same development path that developed economies have taken? Our approach focuses on how technology shifts and reshapes the tasks workers perform on the job, and views occupations as the natural observable stand-in for these tasks. We first take stock of our knowledge on how technological change reallocates labor. We then construct a new measure of occupational task contents for each country and present new evidence on countries' task intensity. In the cross section, developed countries use non-routine analytical and interpersonal tasks more intensively than developing countries, but less intensively use routine-cognitive and routine-manual tasks. Both the occupational employment share and the occupational task contents of a country matter for these relationships. In the time dimension, countries with high initial task intensities experienced a decline in these intensities, suggesting convergence in task intensities across countries. Our results show that occupational task contents ought to be measured for each country for proper analysis. More broadly, we should not simply extrapolate what we know about the impact of technology on the labor market in developed countries to developing countries.

Suggested Citation

  • Julieta Caunedo & Elisa Keller & Yongseok Shin, 2021. "Technology and the Task Content of Jobs across the Development Spectrum," NBER Working Papers 28681, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:28681
    Note: DEV EFG
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w28681.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Gottlieb, Charles & Grobovšek, Jan & Poschke, Markus & Saltiel, Fernando, 2021. "Working from home in developing countries," European Economic Review, Elsevier, vol. 133(C).
    2. Sangmin Aum & Sang Yoon (Tim) Lee & Yongseok Shin, 2017. "Industrial and Occupational Employment Changes During the Great Recession," Review, Federal Reserve Bank of St. Louis, vol. 99(4), pages 307-317.
    3. 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.
    4. Rita K. Almeida & Ana M. Fernandes & Mariana Viollaz, 2017. "Does the Adoption of Complex Software Impact Employment Composition and the Skill Content of Occupations? Evidence from Chilean Firms," CEDLAS, Working Papers 0214, CEDLAS, Universidad Nacional de La Plata.
    5. Lo Bello,Salvatore & Sanchez Puerta,Maria Laura & Winkler,Hernan Jorge, 2019. "From Ghana to America : The Skill Content of Jobs and Economic Development," Policy Research Working Paper Series 8758, The World Bank.
    6. Chang-Tai Hsieh & Peter J. Klenow, 2007. "Relative Prices and Relative Prosperity," American Economic Review, American Economic Association, vol. 97(3), pages 562-585, June.
    7. Ms. Mitali Das & Benjamin Hilgenstock, 2018. "The Exposure to Routinization: Labor Market Implications for Developed and Developing Economies," IMF Working Papers 2018/135, International Monetary Fund.
    8. Francesco Caselli & Wilbur John Coleman II, 2006. "The World Technology Frontier," American Economic Review, American Economic Association, vol. 96(3), pages 499-522, June.
    9. Charles Gottlieb & Jan GrobovsÌŒek & Markus Poschke & Fernando Saltiel, 2020. "Working from home: Implications for developing countries," Vox eBook Chapters, in: Simeon Djankov & Ugo Panizza (ed.), COVID-19 in Developing Economies, edition 1, volume 1, chapter 1, pages 242-256, Centre for Economic Policy Research.
    10. Aum, Sangmin & Lee, Sang Yoon (Tim) & Shin, Yongseok, 2018. "Computerizing industries and routinizing jobs: Explaining trends in aggregate productivity," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 1-21.
    11. Piotr Lewandowski & Albert Park & Wojciech Hardy & Yang Du & Saier Wu, 2022. "Technology, Skills, and Globalization: Explaining International Differences in Routine and Nonroutine Work Using Survey Data," The World Bank Economic Review, World Bank, vol. 36(3), pages 687-708.
    12. Dani Rodrik, 2016. "Premature deindustrialization," Journal of Economic Growth, Springer, vol. 21(1), pages 1-33, March.
    13. 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.
    14. Michael J. Handel, 2012. "Trends in Job Skill Demands in OECD Countries," OECD Social, Employment and Migration Working Papers 143, OECD Publishing.
    15. Lee, Tim & Shin, Yongseok, 2017. "Horizonatal and Vertical Polarization: Task-Specific Technological Change in a Multi-Sector Economy," TSE Working Papers 17-800, Toulouse School of Economics (TSE).
    16. Maloney,William F. & Molina,Carlos A., 2016. "Are automation and trade polarizing developing country labor markets, too ?," Policy Research Working Paper Series 7922, The World Bank.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sergio Ocampo, 2019. "A task-based theory of occupations with multidimensional heterogeneity," 2019 Meeting Papers 477, Society for Economic Dynamics.
    2. Bandiera, Oriana & Kotia, Ananya & Lindenlaub, Ilse & Moser, Christian & Prat, Andrea, 2024. "Meritocracy across Countries," CEPR Discussion Papers 19007, C.E.P.R. Discussion Papers.
    3. Andrej Cupák & Pavel Ciaian & d'Artis Kancs, 2021. "Comparing the immigrant-native pay gap: A novel evidence from home and host countries," EERI Research Paper Series EERI RP 2021/05, Economics and Econometrics Research Institute (EERI), Brussels.
    4. Lewandowski,Piotr & Madoń,Karol & Winkler,Deborah Elisabeth, 2023. "The Role of Global Value Chains for Worker Tasks and Wage Inequality," Policy Research Working Paper Series 10433, The World Bank.
    5. Pena, Werner & Siegel, Christian, 2023. "Routine-biased technical change, structure of employment, and cross-country income differences," CEPR Discussion Papers 18366, C.E.P.R. Discussion Papers.
    6. 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.
    7. Cunningham,Wendy & Moroz,Harry Edmund & Muller,Noel & Solatorio,Aivin Vicquierra, 2022. "The Demand for Digital and Complementary Skills in Southeast Asia," Policy Research Working Paper Series 10070, The World Bank.

    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. 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.
    2. David Kunst, 2019. "Deskilling among Manufacturing Production Workers," Tinbergen Institute Discussion Papers 19-050/VI, Tinbergen Institute, revised 30 Dec 2020.
    3. Zsofia Barany & Christian Siegel, 2021. "Engines of sectoral labor productivity growth," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 39, pages 304-343, January.
    4. Bárány, Zsófia L. & Siegel, Christian, 2020. "Biased technological change and employment reallocation," Labour Economics, Elsevier, vol. 67(C).
    5. Wojciech Hardy & Roma Keister & Piotr Lewandowski, 2016. "Technology or Upskilling? Trends in the Task Composition of Jobs in Central and Eastern Europe," HKUST IEMS Working Paper Series 2016-40, HKUST Institute for Emerging Market Studies, revised Dec 2016.
    6. Julieta Caunedo & David Jaume & Elisa Keller, 2023. "Occupational Exposure to Capital-Embodied Technical Change," American Economic Review, American Economic Association, vol. 113(6), pages 1642-1685, June.
    7. Brambilla, Irene & César, Andrés & Falcone, Guillermo & Gasparini, Leonardo, 2023. "Automation Trends and Labor Markets in Latin America," IDB Publications (Working Papers) 13120, Inter-American Development Bank.
    8. Pena, Werner & Siegel, Christian, 2023. "Routine-biased technical change, structure of employment, and cross-country income differences," CEPR Discussion Papers 18366, C.E.P.R. Discussion Papers.
    9. Wang, Tianxi & Wright, Greg C., 2020. "Increasing returns to scale within limits: A model of ICT and its effect on the income distribution and occupation choice," Journal of Economic Theory, Elsevier, vol. 189(C).
    10. Delaporte, Isaure & Peña, Werner, 2023. "The Dynamics of Labour Market Polarization in Chile: An Analysis of the Link Between Technical Change and Informality," GLO Discussion Paper Series 1262, Global Labor Organization (GLO).
    11. Jinyoung Kim & Cyn‐Young Park, 2020. "Education, skill training, and lifelong learning in the era of technological revolution: a review," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 34(2), pages 3-19, November.
    12. Ms. Mitali Das & Benjamin Hilgenstock, 2018. "The Exposure to Routinization: Labor Market Implications for Developed and Developing Economies," IMF Working Papers 2018/135, International Monetary Fund.
    13. Kehrig, Matthias, 2018. "Comment on “Computerizing industries and routinizing jobs: Explaining trends in aggregate productivity” by Sangmin Aum, Sang Yoon (Tim) Lee and Yongseok Shin," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 22-28.
    14. Antonio Martins-Neto & Xavier Cirera & Alex Coad, 2024. "Routine-biased technological change and employee outcomes after mass layoffs: evidence from Brazil," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 33(3), pages 555-583.
    15. Chen, Chaoran, 2020. "Capital-skill complementarity, sectoral labor productivity, and structural transformation," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
    16. Caitlin Allen Whitehead & Haroon Bhorat & Robert Hill & Tim Köhler & François Steenkamp, 2021. "The Potential Employment Implications of the Fourth Industrial Revolution Technologies: The Case of the Manufacturing, Engineering and Related Services Sector," Working Papers 202106, University of Cape Town, Development Policy Research Unit.
    17. Wojciech Hardy & Roma Keister & Piotr Lewandowski, 2018. "Educational upgrading, structural change and the task composition of jobs in Europe," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(2), pages 201-231, April.
    18. Jerzmanowski, Michal & Tamura, Robert, 2019. "Directed technological change & cross-country income differences: A quantitative analysis," Journal of Development Economics, Elsevier, vol. 141(C).
    19. Maya Eden & Paul Gaggl, 2018. "On the Welfare Implications of Automation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 29, pages 15-43, July.
    20. Comin, Diego & Mestieri, Martí & Danieli, Ana, 2020. "Income-Driven Labor Market Polarization," CEPR Discussion Papers 14980, C.E.P.R. Discussion Papers.

    More about this item

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:28681. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    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.