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Identification of causal effects using instrumental variables
Angrist, Joshua D.; Imbens, Guido; Rubin, Donald B. - 1993
Persistent link: https://www.econbiz.de/10000870290
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Identification and estimation of local average treatment effects
Angrist, Joshua D.; Imbens, Guido - 1991
Persistent link: https://www.econbiz.de/10000829114
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Sources of identifying information in evaluation models
Angrist, Joshua D.; Imbens, Guido - 1991
Persistent link: https://www.econbiz.de/10000829115
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Nonparametric tests for treatment effect heterogeneity
Crump, Richard K.; Hotz, Vincent Joseph; Imbens, Guido; … - 2006
Persistent link: https://www.econbiz.de/10003340057
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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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Moving the goalposts : addressing limited overlap in the estimation of average treatment effects by changing the estimand
Crump, Richard K.; Hotz, Vincent Joseph; Imbens, Guido; … - 2006
Persistent link: https://www.econbiz.de/10003390459
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Non-parametric demand analysis with an application to the demand for fish
Angrist, Joshua D.; Graddy, Kathryn; Imbens, Guido - 1995
Persistent link: https://www.econbiz.de/10000934905
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Nonparametric estimation of average treatment effects under exogeneity : a review
Imbens, Guido - 2003
Persistent link: https://www.econbiz.de/10001808779
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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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Efficient estimation of average treatment effects using the estimated propensity score
Hirano, Keisuke; Imbens, Guido; Ridder, Geert - 2000
Persistent link: https://www.econbiz.de/10001464169