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We provide analytical formulae for the asymptotic bias (ABIAS) and mean squared error (AMSE) of the IV estimator, and obtain approximations thereof based on an asymptotic scheme which essentially requires the expectation of the first stage F-statistic to converge to a finite (possibly small)...
Persistent link: https://www.econbiz.de/10010271942
Persistent link: https://www.econbiz.de/10001759427
We provide analytical formulae for the asymptotic bias (ABIAS) and mean squared error (AMSE) of the IV estimator, and obtain approximations thereof based on an asymptotic scheme which essentially requires the expectation of the first stage F-statistic to converge to a finite (possibly small)...
Persistent link: https://www.econbiz.de/10001848868
We provide analytical formulae for the asymptotic bias (ABIAS) and mean squared error (AMSE) of the IV estimator, and obtain approximations thereof based on an asymptotic scheme which essentially requires the expectation of the first stage F-statistic to converge to a finite (possibly small)...
Persistent link: https://www.econbiz.de/10014030882
Persistent link: https://www.econbiz.de/10003441954
Persistent link: https://www.econbiz.de/10003563522
This papers studies and compares the asymptotic bias of GMM and generalized empirical likelihood (GEL) estimators in the presence of estimated nuisance parameters. We consider cases in which the nuisance parameter is estimated from independent and identical samples. A simulation experiment is...
Persistent link: https://www.econbiz.de/10005398695
Persistent link: https://www.econbiz.de/10001473650
Persistent link: https://www.econbiz.de/10001381656
Persistent link: https://www.econbiz.de/10001605472