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The effect of training on workers’ perceived job match quality

Author

Listed:
  • Yi Zhang

    (Central University of Finance and Economics
    Tilburg University)

  • Martin Salm

    (Tilburg University)

  • Arthur Soest

    (Tilburg University
    Tilburg University)

Abstract

We study the causal effect of training on job match quality using longitudinal data for a representative sample of the Dutch population. We construct an index of workers’ perceived job match quality from five survey questions on job satisfaction and on how a worker’s education and skills match with the job. Based on a dynamic linear panel data model, which accounts for potential endogeneity in training, we find that training has significantly positive short- and long-term effects on job match quality. This is mainly driven by training for human capital accumulation. Further analysis incorporating job changes shows that training for job change purpose increases the probability to change jobs, but job changes immediately following this type of training do not significantly increase job match quality. On the other hand, those who change jobs 1 year after this training do tend to get a better-matched job.

Suggested Citation

  • Yi Zhang & Martin Salm & Arthur Soest, 2021. "The effect of training on workers’ perceived job match quality," Empirical Economics, Springer, vol. 60(5), pages 2477-2498, May.
    • Handle: RePEc:spr:empeco:v:60:y:2021:i:5:d:10.1007_s00181-020-01833-3
    DOI: 10.1007/s00181-020-01833-3
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    Cited by:

    1. Baird, Matthew D. & Engberg, John & Gutierrez, Italo A., 2022. "RCT evidence on differential impact of US job training programmes by pre-training employment status," Labour Economics, Elsevier, vol. 75(C).
    2. Vasilios D. Kosteas, 2023. "Job satisfaction and employer‐sponsored training," British Journal of Industrial Relations, London School of Economics, vol. 61(4), pages 771-795, December.

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    More about this item

    Keywords

    Training; Job match quality; Human capital; Job changes;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
    • M53 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Training

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