Showing 1 - 10 of 18
asymptotic bias due to correlation of the moment functions with their Jacobian, eliminating an important source of bias for GMM … in models with endogeneity. We also find that EL has no asymptotic bias from estimating the optimal weight matrix …, 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
<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
, GEL estimation yields objects which mirror in an asymptotic sense those which form the basis of the exact theory in AS … asymptotic bias properties of EL and possess a well-defined limit distribution under misspecification. …
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
This paper proposes a new class of HAC covariance matrix estimators. The standard HAC estimation method re-weights estimators of the autocovariances. Here we initially smooth the data observations themselves using kernel function based weights. The resultant HAC covariance matrix estimator is...
Persistent link: https://www.econbiz.de/10005811471
GEL methods which generalize and extend previous contributions are defined and analysed for moment condition models specified in terms of weakly dependent data. These procedures offer alternative one-step estimators and tests that are asymptotically equivalent to their efficient two-step GMM...
Persistent link: https://www.econbiz.de/10005727654
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
The primary concern of this article is the provision of definitions and tests for exogeneity appropriate for models defined through sets of conditional moment restrictions. These forms of exogeneity are expressed as additional conditional moment constraints and may be equivalently formulated as...
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