Showing 1 - 10 of 19
asymptotically equivalent to their efficient two-step GMM counterparts. The basis for GEL estimation is via a smoothed version of the …
Persistent link: https://www.econbiz.de/10005727654
Initially this discussion briefly reviews the contributions of Andrews and Stock and Kitamura, henceforth A, S and K respectively. Because the breadth of material covered by AS and K is so vast, we concentrate only on a few topics. Generalized empirical likelihood (GEL) provides the focus for...
Persistent link: https://www.econbiz.de/10005811452
The generalized method of moments estimator may be substantially biased in finite samples, especially so when there are large numbers of unconditional moment conditions. This paper develops a class of first order equivalent semi-parametric efficient estimators and tests for conditional moment...
Persistent link: https://www.econbiz.de/10005811463
therefore automatically positive semi-definite. A corresponding efficient GMM criterion may also be defined as a quadratic form …
Persistent link: https://www.econbiz.de/10005811471
The principal purpose of this paper is to adapt to the conditional moment context the GEL unconditional moment methods described in Smith(1997, 2001) and Newey and Smith(2004). In particular we develop GEL estimators which achieve the semiparametric efficiency lower bound. The requisite GEL...
Persistent link: https://www.econbiz.de/10005727678
<p>In this paper, we clarify the relations between the existing sets of regularity conditions for convergence rates of nonparametric indirect regression (NPIR) and nonparametric instrumental variables (NPIV) regression models. We establish minimax risk lower bounds in mean integrated squared error...</p>
Persistent link: https://www.econbiz.de/10005811446
In an effort to improve the small sample properties of generalized method of moments (GMM) estimators, a number of … asymptotic bias due to correlation of the moment functions with their Jacobian, eliminating an important source of bias for GMM …, eliminating a further important source of bias for GMM in panel data models. We give bias corrected GMM and GEL estimators. We …
Persistent link: https://www.econbiz.de/10005509541
This papers studies and compares the asymptotic bias of GMM and generalized empirical likelihood (GEL) estimators in … offers much reduced mean and median bias, root mean squared error and mean absolute error, as compared with two-step GMM and … other GEL methods. Both analytical and bootstrap bias-adjusted two-step GMM estimators are compared. Analytical bias …
Persistent link: https://www.econbiz.de/10005509558
statistics are suggested based on GMM and generalised empirical likelihood. The asymptotic properties of the statistics are …
Persistent link: https://www.econbiz.de/10010593715
<p>This paper extends Imbens and Manski's (2004) analysis of confidence intervals for interval identified parameters. For their final result, Imbens and Manski implicitly assume superefficient estimation of a nuisance parameter. This appears to have gone unnoticed before, and it limits the result's...</p>
Persistent link: https://www.econbiz.de/10005509552