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Rebuttal of "On Nonparametric Identification of Treatment Effects in Duration Models"

Author

Listed:
  • Abbring, Jaap H.

    (Tilburg University)

  • van den Berg, Gerard J.

    (University of Groningen)

Abstract

In their IZA Discussion Paper 10247, Johansson and Lee claim that the main result (Proposition 3) in Abbring and Van den Berg (2003b) does not hold. We show that their claim is incorrect. At a certain point within their line of reasoning, they make a rather basic error while transforming one random variable into another random variable, and this leads them to draw incorrect conclusions. As a result, their paper can be discarded.

Suggested Citation

  • Abbring, Jaap H. & van den Berg, Gerard J., 2016. "Rebuttal of "On Nonparametric Identification of Treatment Effects in Duration Models"," IZA Discussion Papers 10248, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp10248
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    References listed on IDEAS

    as
    1. Jaap H. Abbring & Gerard J. Van Den Berg, 2003. "The identifiability of the mixed proportional hazards competing risks model," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(3), pages 701-710, August.
    2. Jaap H. Abbring & Gerard J. van den Berg, 2003. "The Nonparametric Identification of Treatment Effects in Duration Models," Econometrica, Econometric Society, vol. 71(5), pages 1491-1517, September.
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    More about this item

    Keywords

    scientific conduct; econometrics; survival analysis; hazard rates;
    All these keywords.

    JEL classification:

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

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