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Unemployment and Development

Author

Listed:
  • Ying Feng

    (University of California, San Diego)

  • David Lagakos

    (University of California, San Diego)

  • James E. Rauch

    (University of California, San Diego)

Abstract
This paper draws on household survey data from countries of all income levels to measure how average unemployment rates vary with income per capita. We document that unemployment is increasing with GDP per capita. Furthermore, we show that this fact is accounted for almost entirely by low-educated workers, whose unemployment rates are strongly increasing in GDP per capita, rather than by high-educated workers, whose unemployment rates are not correlated with income. To interpret these facts, we build a model with workers of heterogeneous ability and two sectors: a traditional sector, in which self-employed workers produce output without reward for ability; and a modern sector, in which firms hire in frictional labor markets, and output increases with ability. Countries differ exogenously in the productivity level of the modern sector. The model predicts that as productivity rises, the traditional sector shrinks, as progressively less-able workers enter the modern sector, leading to a rise in overall unemployment and in the ratio of low-educated to high-educated unemployment rates. Quantitatively, the model accounts for around one third of the cross-country patterns we document.

Suggested Citation

  • Ying Feng & David Lagakos & James E. Rauch, 2018. "Unemployment and Development," Working Papers 2018-083, Human Capital and Economic Opportunity Working Group.
  • Handle: RePEc:hka:wpaper:2018-083
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    References listed on IDEAS

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    10. Poschke, Markus, 2019. "Wage Employment, Unemployment and Self-Employment across Countries," IZA Discussion Papers 12367, Institute of Labor Economics (IZA).
    11. Titan Alon & Minki Kim & David Lagakos & Mitchell VanVuren, 2020. "How Should Policy Responses to the COVID-19 Pandemic Differ in the Developing World?," NBER Working Papers 27273, National Bureau of Economic Research, Inc.
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    13. Denderski, Piotr & Sniekers, Florian, 2021. "Declining Search Frictions and Type-of-Employment Choice," Other publications TiSEM 353ffb98-b052-49b6-b672-2, Tilburg University, School of Economics and Management.
    14. Ma, Xiao & Muendler, Marc-Andreas & Nakab, Alejandro, 2020. "Learning by Exporting and Wage Profiles: New Evidence from Brazil," MPRA Paper 109497, University Library of Munich, Germany, revised 31 Aug 2021.
    15. Xiao Ma & Alejandro Nakab & Daniela Vidart, 2022. "How do Workers Learn? Theory and Evidence on the Roots of Lifecycle Human Capital Accumulation," Working papers 2022-11, University of Connecticut, Department of Economics, revised Jun 2024.
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    More about this item

    Keywords

    unemployment; causal effects of education; ability effects; household survey data;
    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
    • E26 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Informal Economy; Underground Economy
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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