Showing 1 - 10 of 44
Persistent link: https://www.econbiz.de/10009693819
Persistent link: https://www.econbiz.de/10011517227
Persistent link: https://www.econbiz.de/10014383886
This paper derives the limiting distributions of alternative jackknife IV (JIV) estimators and gives formulae for accompanying consistent standard errors in the presence of heteroskedasticity and many instruments. The asymptotic framework includes the many instrument sequence of Bekker (1994)...
Persistent link: https://www.econbiz.de/10008668814
The delta method is commonly used to calculate confidence intervals of functions of estimated parameters that are differentiable with non-zero, bounded derivatives. When the delta method is inappropriate, researchers usually first use a bootstrap procedure where they i) repeatedly take a draw...
Persistent link: https://www.econbiz.de/10009310161
Persistent link: https://www.econbiz.de/10009311780
In a recent paper, Hausman et al. (2012) propose a new estimator, HFUL (Heteroscedasticity robust Fuller), for the linear model with endogeneity. This estimator is consistent and asymptotically normally distributed in the many instruments and many weak instruments asymptotics. Moreover, this...
Persistent link: https://www.econbiz.de/10009766695
This paper shows how a weighted average of a forward and reverse Jackknife IV estimator (JIVE) yields estimators that are robust against heteroscedasticity and many instruments. These estimators, called HFUL (Heteroscedasticity robust Fuller) and HLIM (Heteroskedasticity robust limited...
Persistent link: https://www.econbiz.de/10009766699
Applied researchers often need to estimate confidence intervals for functions of parameters, such as the effects of counterfactual policy changes. If the function is continuously differentiable and has non-zero and bounded derivatives, then they can use the delta method. However, if the function...
Persistent link: https://www.econbiz.de/10009747952
Persistent link: https://www.econbiz.de/10009733984