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Job polarization in aging economies

Author

Listed:
  • Eva Moreno-Galbis

    (GAINS - Groupe d'Analyse des Itinéraires et des Niveaux Salariaux - UM - Le Mans Université, TEPP - Travail, Emploi et Politiques Publiques - UPEM - Université Paris-Est Marne-la-Vallée - CNRS - Centre National de la Recherche Scientifique, GRANEM - Groupe de Recherche Angevin en Economie et Management - UA - Université d'Angers - AGROCAMPUS OUEST - Institut National de l'Horticulture et du Paysage, THEMA - Théorie économique, modélisation et applications - UCP - Université de Cergy Pontoise - Université Paris-Seine - CNRS - Centre National de la Recherche Scientifique)

  • Thepthida Sopraseuth

    (CEPREMAP - Centre pour la recherche économique et ses applications - ECO ENS-PSL - Département d'économie de l'ENS-PSL - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres, THEMA - Théorie économique, modélisation et applications - UCP - Université de Cergy Pontoise - Université Paris-Seine - CNRS - Centre National de la Recherche Scientifique)

Abstract

The progressive diffusion of ICT explains the raise in the number of highly paid jobs but has difficulties in justifying that of low-paid jobs. Classifying occupations according to their median wage in 1993, we analyze their employment growth until 2010, which is highest both in the top and in the bottom of the distribution, and lowest in the middle. Low-paid personnel services arise as the main factor responsible for the increase in the proportion of employment at the bottom of the wage distribution. We argue that population aging can explain the increased demand for personal services and thus the rise of employment in low-paid positions. Our argument goes as follows: goods and personal services are complementary for seniors. The decrease in the relative price of goods, induced by the progressive replacement of labor input in routine tasks by machines, is then associated with an increased demand for personal services if the proportion of seniors is increasing. We thus complement the existing literature on employment polarization by showing that demographic trends also play first order role.

Suggested Citation

  • Eva Moreno-Galbis & Thepthida Sopraseuth, 2014. "Job polarization in aging economies," Post-Print hal-01463914, HAL.
  • Handle: RePEc:hal:journl:hal-01463914
    DOI: 10.1016/j.labeco.2013.12.001
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    Cited by:

    1. Sarah Fleche & Eva Moreno Galbis & Ariell Reshef & Claudia Senik, 2026. "How ICT shapes wages, working conditions, and job satisfaction," CEP Discussion Papers dp2143, Centre for Economic Performance, LSE.
    2. Ian Goldin & Pantelis Koutroumpis & François Lafond & Julian Winkler, 2024. "Why Is Productivity Slowing Down?," Journal of Economic Literature, American Economic Association, vol. 62(1), pages 196-268, March.
    3. Terhi Maczulskij, 2024. "Occupational Mobility of Routine Workers," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(5), pages 1198-1229, October.
    4. Roupakias, Stelios, 2023. "Employment polarization: evidence from regions in Greece," MPRA Paper 118696, University Library of Munich, Germany.
    5. James Harrigan & Ariell Reshef & Farid Toubal, 2016. "The March of the Techies: Technology, Trade, and Job Polarization in France, 1994-2007," NBER Working Papers 22110, National Bureau of Economic Research, Inc.
    6. Seetha Menon & Andrea Salvatori & Wouter Zwysen, 2020. "The Effect of Computer Use on Work Discretion and Work Intensity: Evidence from Europe," British Journal of Industrial Relations, London School of Economics, vol. 58(4), pages 1004-1038, December.
    7. Askenazy, Philippe & Erhel, Christine, 2015. "The French Productivity Puzzle," CEPREMAP Working Papers (Docweb) 1512, CEPREMAP.
    8. Guo, Lu & Xiao, Fang, 2024. "Digital economy, aging of the labor force, and employment transformation of migrant workers: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 787-807.
    9. Sébastien Bock, 2018. "Job Polarization and Unskilled Employment Losses in France," Working Papers halshs-01513037, HAL.
    10. Charles M. Beach, 2016. "Changing income inequality: A distributional paradigm for Canada," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 49(4), pages 1229-1292, November.
    11. Sohei Kaihatsu & Maiko Koga & Tomoya Sakata & Naoko Hara, 2019. "Interaction between Business Cycles and Economic Growth," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 37, pages 99-126, November.
    12. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
    13. Stelios Roupakias, 2024. "Government employment and local multipliers in Greek municipalities," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 72(1), pages 195-221, January.
    14. 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.

    More about this item

    Keywords

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    JEL classification:

    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • 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

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