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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

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

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

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

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

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