Estimation of Heterogeneous Treatment Effects on Hazard Rates
AbstractConsider a setting where a treatment that starts at some point during a spell (e.g. in unemployment) may impact on the hazard rate of the spell duration, and where the impact may be heterogeneous across subjects. We provide Monte Carlo evidence on the feasibility of estimating the distribution of treatment effects from duration data with selectivity, by means of a nonparametric maximum likelihood estimator with unrestricted numbers of mass points for the heterogeneity distribution. We find that specifying the treatment effect as homogenous may yield misleading average results if the true effects are heterogeneous, even when the sorting into treatment is appropriately accounted for. Specifying the treatment effect as a random coefficient allows for precise estimation of informative average treatment effects including the program’s overall impact on the mean duration.
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Bibliographic InfoPaper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 4794.
Length: 37 pages
Date of creation: Feb 2010
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Find related papers by 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
- C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
- J64 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies - - - Unemployment: Models, Duration, Incidence, and Job Search
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-03-20 (All new papers)
- NEP-ECM-2010-03-20 (Econometrics)
- NEP-LAB-2010-03-20 (Labour Economics)
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- Bruno Crépon & Marc Ferracci & Grégory Jolivet & Gerard J. van den Berg, 2008.
"“Active Labor Market Policy Effects in a Dynamic Setting”,"
2008-25, Centre de Recherche en Economie et Statistique.
- Bruno Crépon & Marc Ferracci & Grégory Jolivet & Gerard J. van den Berg, 2009. "Active Labor Market Policy Effects in a Dynamic Setting," Journal of the European Economic Association, MIT Press, vol. 7(2-3), pages 595-605, 04-05.
- Crépon, Bruno & Ferracci, Marc & Jolivet, Grégory & van den Berg, Gerard J., 2009. "Active labor market policy effects in a dynamic setting," Working Paper Series 2009:1, IFAU - Institute for Evaluation of Labour Market and Education Policy.
- Crépon, Bruno & Ferracci, Marc & Jolivet, Grégory & van den Berg, Gerard J., 2008. "Active Labor Market Policy Effects in a Dynamic Setting," IZA Discussion Papers 3848, Institute for the Study of Labor (IZA).
- Abbring, Jaap H. & van den Berg, Gerard J., 2003.
"Analyzing the Effect of Dynamically Assigned Treatments Using Duration Models, Binary Treatment Models, and Panel Data Models,"
IZA Discussion Papers
831, Institute for the Study of Labor (IZA).
- Jaap H. Abbring & Gerard J. van den Berg, 2004. "Analyzing the effect of dynamically assigned treatments using duration models, binary treatment models, and panel data models," Empirical Economics, Springer, vol. 29(1), pages 5-20, January.
- Abbring, Jaap H & van den Berg, Gerard J, 2005.
"Social experiments and intrumental variables with duration outcomes,"
Working Paper Series
2005:11, IFAU - Institute for Evaluation of Labour Market and Education Policy.
- Jaap H. Abbring & Gerard J. van den Berg, 2005. "Social Experiments and Instrumental Variables with Duration Outcomes," Tinbergen Institute Discussion Papers 05-047/3, Tinbergen Institute.
- Jaap Abbring & Gerard van den Berg, 2005. "Social experiments and instrumental variables with duration outcomes," IFS Working Papers W05/19, Institute for Fiscal Studies.
- Carneiro, Pedro & Hansen, Karsten & Heckman, James, 2003.
"Estimating distributions of treatment effects with an application to the returns to schooling and measurement of the effects of uncertainty on college choice,"
Working Paper Series
2003:9, IFAU - Institute for Evaluation of Labour Market and Education Policy.
- Carneiro, Pedro & Hansen, Karsten T. & Heckman, James J., 2003. "Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College Choice," IZA Discussion Papers 767, Institute for the Study of Labor (IZA).
- Michael Rosholm & Michael Svarer, 2008. "The Threat Effect of Active Labour Market Programmes," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(2), pages 385-401, 06.
- 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, 09.
- Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
- Baker, Michael & Melino, Angelo, 2000.
"Duration dependence and nonparametric heterogeneity: A Monte Carlo study,"
Journal of Econometrics,
Elsevier, vol. 96(2), pages 357-393, June.
- Michael Baker & Angelo Melino, 1999. "Duration Dependence and Nonparametric Heterogeneity: A Monte Carlo Study," Working Papers melino-99-01, University of Toronto, Department of Economics.
- Fredriksson, Peter & Johansson, Per, 2008. "Dynamic Treatment Assignment," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 435-445.
- Knut Røed & Oddbjørn Raaum, 2006. "Do Labour Market Programmes Speed up the Return to Work?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(5), pages 541-568, October.
- Aakvik, Arild & Heckman, James J. & Vytlacil, Edward J., 2005. "Estimating treatment effects for discrete outcomes when responses to treatment vary: an application to Norwegian vocational rehabilitation programs," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 15-51.
- Richardson, Katarina & van den Berg, Gerard J, 2008. "Duration dependence versus unobserved heterogeneity in treatment effects: Swedish labor market training and the transition rate to employment," Working Paper Series 2008:7, IFAU - Institute for Evaluation of Labour Market and Education Policy.
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