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Firm heterogeneity, worker training and labor productivity: the role of endogenous self-selection

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  • Sizhong Sun

    (James Cook University)

Abstract

In productivity research with firm data, the existence of endogenous sample attrition is well known. In addition, endogenous sample selection may occur. In a simple model where heterogenous firms consider entry, exit, worker training and price setting in a monopolistically competitive market, I show that firm heterogeneity leads to self-selecting into the market, which in turn dampens the estimate of the marginal effect of worker training. To address the sample selection issue, I devise a generalized method of simulated moments estimator. Estimations with firm data from China’s shoe manufacturing industry show that an increase of one standard deviation of worker training expenditure intensity results in an around 5.6% decrease in a firm’s labor productivity, larger than the estimate without accounting for endogenous sample selection.

Suggested Citation

  • Sizhong Sun, 2023. "Firm heterogeneity, worker training and labor productivity: the role of endogenous self-selection," Journal of Productivity Analysis, Springer, vol. 59(2), pages 121-133, April.
  • Handle: RePEc:kap:jproda:v:59:y:2023:i:2:d:10.1007_s11123-022-00652-1
    DOI: 10.1007/s11123-022-00652-1
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    More about this item

    Keywords

    Firm heterogeneity; Worker training; Labor productivity; Sample selection; Method of simulated moments; Cross-sectional analysis;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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