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Labor market matching with heterogeneous job seekers in China

Author

Listed:
  • Yang Liu

    (Graduate School of Economics, Kyoto University, Japan)

Abstract

Our study provides empirical evidence for matching functions with three heterogeneous groups of job seekers in China, and bridges the gap of matching function estimation of the Chinese labor market. We find that the effects of non-unemployed job seekers in the empirical matching process for China are rather significant, and an absence of their consideration could lead to biased estimates. Moreover, the result highlights competition among the three groups of job seekers in the matching process, and indicates the potential influences of productivity, job-search services, and economic reform shocks on their matching efficiencies.

Suggested Citation

  • Yang Liu, 2011. "Labor market matching with heterogeneous job seekers in China," Economics Bulletin, AccessEcon, vol. 31(3), pages 1980-1992.
    • Handle: RePEc:ebl:ecbull:eb-11-00071
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    File URL: http://www.accessecon.com/Pubs/EB/2011/Volume31/EB-11-V31-I3-P179.pdf
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    References listed on IDEAS

    as
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    11. Aomar Ibourk & Bénédicte Maillard & Sergio Perelman & Henri Sneessens, 2004. "Aggregate Matching Efficiency: A Stochastic Production Frontier Approach, France 1990–1994," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 31(1), pages 1-25, March.
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    Cited by:

    1. Woong Lee, 2017. "Trade Liberalization and the Aggregate Matching Function in India," Asian Economic Papers, MIT Press, vol. 16(1), pages 120-137, Winter/Sp.
    2. Liu, Yang, 2013. "Labor market matching and unemployment in urban China," China Economic Review, Elsevier, vol. 24(C), pages 108-128.

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    More about this item

    Keywords

    empirical matching functions; congestion externalities; matching efficiency;
    All these keywords.

    JEL classification:

    • J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables

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