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Minimum wage and employment: Escaping the parametric straitjacket

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  • Cabras, Stefano
  • Fidrmuc, Jan
  • de Dios Tena Horrillo, Juan

Abstract

Parametric regression models are often not flexible enough to capture the true relationships as they tend to rely on arbitrary identification assumptions. Using the UK Labor Force Survey, the authors estimate the causal effect of national minimum wage (NMW) increases on the probability of job entry and job exit by means of a non-parametric Bayesian modelling approach known as Bayesian Additive Regression Trees (BART). The application of this methodology has the important advantage that it does not require ad-hoc assumptions about model fitting, number of covariates and how they interact. They find that the NMW exerts a positive and significant impact on both the probability of job entry and job exit. Although the magnitude of the effect on job entry is higher, the overall effect of NMW is ambiguous as there are many more employed workers. The causal effect of NMW is higher for young workers and in periods of high unemployment and they have a stronger impact on job entry decisions. No significant interactions were found with gender and qualifications.

Suggested Citation

  • Cabras, Stefano & Fidrmuc, Jan & de Dios Tena Horrillo, Juan, 2017. "Minimum wage and employment: Escaping the parametric straitjacket," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 11, pages 1-20.
  • Handle: RePEc:zbw:ifweej:201715
    DOI: 10.5018/economics-ejournal.ja.2017-15
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    References listed on IDEAS

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    More about this item

    Keywords

    BART; causal inference; regression approach; matching regression;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • J4 - Labor and Demographic Economics - - Particular Labor Markets

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