Arbeitspapier

Evaluating continuous training programs using the generalized propensity score

This paper assesses the dynamics of treatment effects arising from variation in the duration of training. We use German administrative data that have the extraordinary feature that the amount of treatment varies continuously from 10 days to 395 days (i.e. 13 months). This feature allows us to estimate a continuous dose-response function that relates each value of the dose, i.e. days of training, to the individual post-treatment employment probability (the response). The dose-response function is estimated after adjusting for covariate imbalance using the generalized propensity score, a recently developed method for covariate adjustment under continuous treatment regimes. Our data have the advantage that we can consider both the actual and planned training durations as treatment variables: If only actual durations are observed, treatment effect estimates may be biased because of endogenous exits. Our results indicate an increasing dose-response function for treatments of up to 100 days, which then flattens out. That is, longer training programs do not seem to add an additional treatment effect.

Language
Englisch

Bibliographic citation
Series: DIW Discussion Papers ; No. 752

Classification
Wirtschaft
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Mobility, Unemployment, and Vacancies: Public Policy
Subject
Training
program evaluation
continuous treatment
generalized propensity score
Weiterbildung
Dauer
Arbeitsmarktpolitik
Wirtschaftspolitische Wirkungsanalyse
Berufliche Integration
Deutschland

Event
Geistige Schöpfung
(who)
Kluve, Jochen
Schneider, Hilmar
Uhlendorff, Arne
Zhao, Zhong
Event
Veröffentlichung
(who)
Deutsches Institut für Wirtschaftsforschung (DIW)
(where)
Berlin
(when)
2007

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Kluve, Jochen
  • Schneider, Hilmar
  • Uhlendorff, Arne
  • Zhao, Zhong
  • Deutsches Institut für Wirtschaftsforschung (DIW)

Time of origin

  • 2007

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