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Estimating State-Level Matching Efficiencies in the Indian Labor Market

Author

Listed:
  • Woong Lee

    (Hankuk University of Foreign Studies)

  • Soon-Cheul Lee

    (Busan University of Foreign Studies)

Abstract

We analyze state-level matching efficiencies in the Indian labor market using stochastic frontier analysis. The key contribution of this research is the estimation of matching efficiencies at the state level because these can be used for a state-level measure of labor market conditions. Next, we explore the relationship between the estimated matching efficiencies and population density, labor market flexibility, and the Ease of Doing Business index, respectively. The results show that matching efficiency is heterogeneous across states with considerable variation in accordance with the regional diversity in India. However, we find that there is little relationship between the estimated matching efficiencies and the labor market conditions of interest, suggesting that other regional diversity affects matching efficiencies across states in India.

Suggested Citation

  • Woong Lee & Soon-Cheul Lee, 2020. "Estimating State-Level Matching Efficiencies in the Indian Labor Market," East Asian Economic Review, Korea Institute for International Economic Policy, vol. 24(3), pages 275-301.
    • Handle: RePEc:ris:eaerev:0380
    DOI: 10.11644/KIEP.EAER.2020.24.3.380
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    References listed on IDEAS

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    Keywords

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    JEL classification:

    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • J40 - Labor and Demographic Economics - - Particular Labor Markets - - - General
    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East

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