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in Carrasco (2012) and Carrasco and Tchuente (2013). We show that normalized regularized 2SLS and LIML are consistent and … competing estimators. Our simulations show that the leading regularized estimators (LF and T of LIML) work very well (are nearly …
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regularized versions of the limited information maximum likelihood (LIML) based on three different regularizations: Tikhonov …. Moreover, they reach the semiparametric efficiency bound assuming homoskedastic error. We show that the regularized LIML …) shows the dominance of regularized LIML over regularized two-staged least squares estimators. We devise a data driven …
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Propensity score matching is widely used in treatment evaluation to estimate average treatment effects. Nevertheless, the role of the propensity score is still controversial. Since the propensity score is usually unknown and has to be estimated, the efficiency loss arising from not knowing the...
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We investigate identification of causal parameters in case-control and related studies. The odds ratio in the sample is our main estimand of interest and we articulate its relationship with causal parameters under various scenarios. It turns out that the odds ratio is generally a sharp upper...
Persistent link: https://www.econbiz.de/10012216988
This paper studies the asymptotic validity of the regularized Anderson Rubin (AR) tests in linear models with large number of instruments. The regularized AR tests use informationreduction methods to provide robust inference in instrumental variable (IV) estimation for data rich environments. We...
Persistent link: https://www.econbiz.de/10011547613