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Instrumental Variables Estimator," or JIVE, with that of the more familiar 2SLS and LIML estimators. We find no evidence to suggest … to LIML in all respects. Interestingly, JIVE seems to perform particularly badly when the instruments are weak. … that JIVE should ever be used. It is always more dispersed than 2SLS, often very much so, and it is almost always inferior …
Persistent link: https://www.econbiz.de/10005787665
We propose a wild bootstrap procedure for linear regression models estimated by instrumental variables. Like other bootstrap procedures that we have proposed elsewhere, it uses efficient estimates of the reduced-form equation(s). Unlike them, it takes account of possible heteroskedasticity of...
Persistent link: https://www.econbiz.de/10005688408
We study several tests for the coefficient of the single right-hand-side endogenous variable in a linear equation estimated by instrumental variables. We show that all the test statistics--Student's t, Anderson-Rubin, Kleibergen's K, and likelihood ratio (LR)--can be written as functions of six...
Persistent link: https://www.econbiz.de/10005787714
instrumental variables (IV) and limited-information maximum likelihood (LIML). Under the assumption of Gaussian disturbances, we …
Persistent link: https://www.econbiz.de/10010757310
We study several tests for the coefficient of the single right-hand-side endogenous variable in a linear equation estimated by instrumental variables. We show that writing all the test statistics -- Student's t, Anderson-Rubin, the LM statistic of Kleibergen and Moreira (K), and likelihood ratio...
Persistent link: https://www.econbiz.de/10005688347
We investigate the size of the Durbin-Wu-Hausman tests for exogeneity when instrumental variables violate the strict exogeneity assumption. We show that these tests are severely size distorted even for a small correlation between the structural error and instruments. We then propose a bootstrap...
Persistent link: https://www.econbiz.de/10011108377
We present a minimum distance approach for conducting hypothesis testing in the presence of potentially weak instruments. Under this approach, we propose size correct tests for limited dependent variable models with endogenous explanatory variables such as endogenous Tobit and probit models....
Persistent link: https://www.econbiz.de/10005012452
information maximum likelihood (LIML) show that two of the four vari- ants perform remarkably well even when 2SLS does not. In a … weak-instrument experiment, the two best performing jackknife estimators also outperform LIML. Copyright 2006 by StataCorp …
Persistent link: https://www.econbiz.de/10005748373
that address HAC standard errors, weak instruments, LIML and k-class estimation, tests for endogeneity and RESET and …
Persistent link: https://www.econbiz.de/10005292582
Economists are often interested in the coefficient of a single endogenous explanatory variable in a linear simultaneous equations model. One way to obtain a confidence set for this coefficient is to invert the Anderson-Rubin test. The "AR confidence sets" that result have correct coverage under...
Persistent link: https://www.econbiz.de/10008776049