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Making the most out of social experiments : reducing the intrinsic uncertainty in evidence from randomized trials with an application to the national JTPA experiment
Clements, Nancy; Heckman, James J.; Smith, Jeffrey A. - 1994
Persistent link: https://www.econbiz.de/10000884776
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Accounting for dropouts in evaluations of social programs
Heckman, James J. - In: The review of economics and statistics 80 (1998) 1, pp. 1-14
Persistent link: https://www.econbiz.de/10001235795
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Estimating distributions of treatment effects with an application to the returns to schooling and measurement of the effects of uncertainty on college choice
Carneiro, Pedro (contributor);  … - 2003 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001752084
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Estimating distributions of treatment effects with an application to the returns to schooling and measurement of the effects of uncertainty on college choice : 2001 Lawrence R. Kle...
Carneiro, Pedro; Hansen, Karsten T.; Heckman, James J. - In: International economic review 44 (2003) 2, pp. 361-422
Persistent link: https://www.econbiz.de/10001767150
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Estimating distributions of treatment effects with an application to the returns to schooling and measurement of the effects of uncertainty on college choice
Carneiro, Pedro; Hansen, Karsten T.; Heckman, James J. - 2003
Persistent link: https://www.econbiz.de/10001743030
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Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College
Carneiro, Pedro - 2003
This paper uses factor models to identify and estimate distributions of counterfactuals. We extend LISREL frameworks to a dynamic treatment effect setting, extending matching to account for unobserved conditioning variables. Using these models, we can identify all pairwise and joint treatment...
Persistent link: https://www.econbiz.de/10012469154
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Estimating distributions of treatment effects with an application to the returns to schooling and measurement of the effects of uncertainty on college choice
Carneiro, Pedro; Hansen, Karsten T.; Heckman, James J. - 2003 - This draft, January 22, 2003
This paper uses factor models to identify and estimate distributions of counterfactuals. We extend LISREL frameworks to a dynamic treatment effect setting, extending matching to account for unobserved conditioning variables. Using these models, we can identify all pairwise and joint treatment...
Persistent link: https://www.econbiz.de/10011573446
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Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College Choice
Carneiro, Pedro Manuel; Hansen, Karsten T.; Heckman, … - 2021
This paper uses factor models to identify and estimate distributions of counterfactuals. We extend LISREL frameworks to a dynamic treatment effect setting, extending matching to account for unobserved conditioning variables. Using these models, we can identify all pairwise and joint treatment...
Persistent link: https://www.econbiz.de/10013319958
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Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College
Carneiro, Pedro Manuel; Hansen, Karsten T.; Heckman, … - 2021
This paper uses factor models to identify and estimate distributions of counterfactuals. We extend LISREL frameworks to a dynamic treatment effect setting, extending matching to account for unobserved conditioning variables. Using these models, we can identify all pairwise and joint treatment...
Persistent link: https://www.econbiz.de/10013217582