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Dynamic treatment effects
Heckman, James J.; Humphries, John Eric; Veramendi, Gregory - In: Journal of econometrics 191 (2016) 2, pp. 276-292
Persistent link: https://www.econbiz.de/10011610524
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Simple Estimators for Treatment Parameters in a Latent Variable Framework with an Application to Estimating the Returns to Schooling
Heckman, James J. - 2000
This paper derives simply computed closed-form expressions for the Average Treatment Effect (ATE), the effect of Treatment on the Treated (TT), Local Average Treatment Effect (LATE) and Marginal Treatment Effect (MTE) in a latent variable framework for both normal and non-normal models. The...
Persistent link: https://www.econbiz.de/10012470786
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Chapter 71 Econometric Evaluation of Social Programs, Part II: Using the Marginal Treatment Effect to Organize Alternative Econometric Estimators to Evaluate Social Programs, and t...
Heckman, James J.; Vytlacil, Edward J. - In: Handbook of econometrics : volume 6B, (pp. 4875-5143). 2007
marginal treatment effect. All of the estimation methods used in the applied evaluation literature, such as matching …
Persistent link: https://www.econbiz.de/10014024944
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Simple Estimators for Treatment Parameters in a Latent Variable Framework with an Application to Estimating the Returns to Schooling
Heckman, James J.; Tobias, Justin L.; Vytlacil, Edward - 2021
This paper derives simply computed closed-form expressions for the Average Treatment Effect (ATE), the effect of Treatment on the Treated (TT), Local Average Treatment Effect (LATE) and Marginal Treatment Effect (MTE) in a latent variable framework for both normal and non-normal models. The...
Persistent link: https://www.econbiz.de/10013237927
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Instrumental variables methods for the correlated random coefficient model : estimating the average rate of return to schooling when the return is correlated with schooling
Heckman, James J.; Vytlacil, Edward - In: Journal of human resources : JHR 33 (1998) 4, pp. 974-987
Persistent link: https://www.econbiz.de/10001256149
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Instrumental variables : a study of implicit behavioral assumptions used in making program evaluations
Heckman, James J. - In: Journal of human resources : JHR 32 (1997) 3, pp. 441-462
Persistent link: https://www.econbiz.de/10001225494
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Characterizing selection bias using experimental data
Heckman, James J.; Ichimura, Hidehiko; Smith, Jeffrey A.; … - In: Econometrica : journal of the Econometric Society, an … 66 (1998) 5, pp. 1017-1098
Persistent link: https://www.econbiz.de/10001249590
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Using matching, instrumental variables and control functions to estimate economic choice models
Heckman, James J. (contributor);  … - 2003 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001752094
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Using matching, instrumental variables and control functions to estimate economic choice models
Heckman, James J.; Navarro-Lozano, Salvador - 2003
Persistent link: https://www.econbiz.de/10001738733
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Simple estimators for treatment parameters in a latent variable framework with an application to estimating the returns to schooling
Heckman, James J.; Tobias, Justin L.; Vytlacil, Edward - 2000
Persistent link: https://www.econbiz.de/10001520893