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IPW estimation and related estimators for evaluation of active labor market policies in a dynamic setting

Author

Listed:
  • Vikström, Johan

    (IFAU - Institute for Evaluation of Labour Market and Education Policy)

Abstract
This paper considers treatment evaluation in a discrete time setting in which treatment could start at any point in time. A typical application is an active labor market policy program which could start after any elapsed unemployment duration. It is shown that various average effects on survival time are identified under unconfoundedness and no-anticipation and inverse probability weighting (IPW) estimators are provided for these effects. The estimators are applied to a Swedish work practice program. The IPW estimator is compared with related estimators. One conclusion is that the matching estimator proposed by Fredriksson and Johansson (2008) overlooks a selective censoring problem.

Suggested Citation

  • Vikström, Johan, 2014. "IPW estimation and related estimators for evaluation of active labor market policies in a dynamic setting," Working Paper Series 2014:1, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    • Handle: RePEc:hhs:ifauwp:2014_001
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    File URL: http://www.ifau.se/en/Research/Publications/Working-papers/2014/IPW-estimation-and-related-estimators-for-evaluation-of-active-labor-market-policies-in-a-dynamic-setting/
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    Citations

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    Cited by:

    1. Bruno Crépon & Gerard J. van den Berg, 2016. "Active Labor Market Policies," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 521-546, October.
    2. Götz Rohwer, 2016. "Treatment and Control Groups in a Dynamic Setting," International Statistical Review, International Statistical Institute, vol. 84(1), pages 63-78, April.
    3. Andrea Albanese & Bart Cockx & Yannick Thuy, 2020. "Working time reductions at the end of the career: Do they prolong the time spent in employment?," Empirical Economics, Springer, vol. 59(1), pages 99-141, July.
    4. Villalobos Barría, Carlos & Klasen, Stephan, 2016. "The impact of SENAI's vocational training program on employment, wages, and mobility in Brazil: Lessons for Sub Saharan Africa?," The Quarterly Review of Economics and Finance, Elsevier, vol. 62(C), pages 74-96.

    More about this item

    Keywords

    Treatment effects; dynamic treatment assignment; program evaluation; work practice;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General

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