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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.
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1994
Persistent link: https://www.econbiz.de/10000884776
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2
Accounting for dropouts in evaluations of social experiments
Heckman, James J.
;
Smith, Jeffrey A.
;
Taber, Christopher
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1994
Persistent link: https://www.econbiz.de/10000934892
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3
Randomization as an instrumental variable
Heckman, James J.
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1995
Persistent link: https://www.econbiz.de/10000934994
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4
Randomization and social policy evaluation
Heckman, James J.
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1991
Persistent link: https://www.econbiz.de/10013452204
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5
Instrumental variables : a cautionary tale
Heckman, James J.
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1995
Persistent link: https://www.econbiz.de/10013453512
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6
The identification and economic content of ordered choice models with stochastic thresholds
Cunha, Flávio
;
Heckman, James J.
;
Navarro, Salvador
-
2007
Persistent link: https://www.econbiz.de/10003506333
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7
Dynamic discrete choice and dynamic treatment effects
Heckman, James J.
;
Navarro, Salvador
-
2005
Persistent link: https://www.econbiz.de/10003165921
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8
Structural equations, treatment effects and econometric policy evaluation
Heckman, James J.
;
Vytlacil, Edward
-
2005
Persistent link: https://www.econbiz.de/10002775900
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9
Instrumental variables, selection models, and tight bounds on the average treatment effect
Heckman, James J.
;
Vytlacil, Edward
-
2000
Persistent link: https://www.econbiz.de/10001507899
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10
Local instrumental variables
Heckman, James J.
;
Vytlacil, Edward
-
2000
Persistent link: https://www.econbiz.de/10001470565
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