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Dynamic Treatment Effects of Job Training

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  • Jorge Rodríguez
  • Fernando Saltiel
  • Sergio S. Urzúa

Abstract

This paper estimates the dynamic returns to job training. We posit a dynamic-discrete choice model of sequential training participation, where choices and earnings depend on observed and unobserved characteristics.We define treatment effects, including policy relevant parameters, and link them to continuation values. The empirical analysis is carried out using data combining job training records, matched employee-employer information, and pre-labor market ability measures from Chile. We document small positive average returns, large unobserved heterogeneity in responses, and dynamic substitutability of training investments. Our policy relevant treatment effects vary across dynamic response types, highlighting the relevance of our framework.

Suggested Citation

  • Jorge Rodríguez & Fernando Saltiel & Sergio S. Urzúa, 2018. "Dynamic Treatment Effects of Job Training," NBER Working Papers 25408, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:25408
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    Cited by:

    1. Shosei Sakaguchi, 2021. "Estimation of Optimal Dynamic Treatment Assignment Rules under Policy Constraints," Papers 2106.05031, arXiv.org, revised May 2022.

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    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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