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Program Evaluation and Random Program Starts

Author

Listed:
  • Fredriksson, Peter

    (Department of Economics)

  • Johansson, Per

    (Institute for Labour Market Policy Evaluation)

Abstract

This paper discusses the evaluation problem using observational data when the timing of treatment is an outcome of a stochastic process. We show that, without additional assumptions, it is not possible to estimate the average treatment effect and treatment on the treated. It is, however, possible to estimate the effect of treatment on the treated up to a certain time point. We propose an estimator to estimate this effect and show that it is possible to test for an average treatment effect.

Suggested Citation

  • Fredriksson, Peter & Johansson, Per, 2002. "Program Evaluation and Random Program Starts," Working Paper Series 2003:1, Uppsala University, Department of Economics.
  • Handle: RePEc:hhs:uunewp:2003_001
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    References listed on IDEAS

    as
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    7. Michael Lechner, 2000. "Programme Heterogeneity and Propensity Score Matching: An Application to the Evaluation of Active Labour Market Policies," Econometric Society World Congress 2000 Contributed Papers 0647, Econometric Society.
    8. Michael Lechner, 1999. "Nonparametric bounds on employment and income effects of continuous vocational training in East Germany," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 1-28.
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    More about this item

    Keywords

    Treatment effects; dynamic treatment assignment; program evaluation; method of matching;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies

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