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Does matching overcome LaLonde's critique of nonexperimental estimators?

Smith, Jeffrey A.; Todd, Petra - In: Journal of econometrics 125 (2005) 1/2, pp. 305-353

Persistent link: https://www.econbiz.de/10002527183

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

Reconciling conflicting evidence on the performance of propensity-score matching methods

Smith, Jeffrey A.; Todd, Petra - In: The American economic review 91 (2001) 2, pp. 112-118

Persistent link: https://www.econbiz.de/10001585053

When is ate enough? : risk aversion and inequality aversion in evaluating training programs

Dehejia, Rajeev H. - In: Modelling and evaluating treatment effects in econometrics, (pp. 263-287). 2008

Persistent link: https://www.econbiz.de/10003672046

The porous dialectic : experimental and non-experimental methods in development economics

Dehejia, Rajeev H. - 2013

This paper provides a survey of six widely used non-experimental methods for estimating the impact of programmes in the context of developing economies (instrumental variables, regression discontinuity, direct matching, propensity score matching, linear regression and non-parametric methods, and...