A New Class of Asymptotically E¢ cient Estimators for Moment Condition Models

نویسندگان

  • Yanqin Fan
  • Tong Li
چکیده

In this paper, we propose a new class of asymptotically e¢ cient estimators for moment condition models. These estimators share the same higher order bias properties as the generalized empirical likelihood estimators and once bias corrected, have the same higher order e¢ ciency properties as the bias corrected generalized empirical likelihood estimators. Unlike the generalized empirical likelihood estimators, our new estimators are much easier to compute. A small simulation study con…rms the superior properties of our proposed estimators. We are grateful to Eric Renault for drawing our attention to important references and for helpful discussions.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

More higher-order e ciency: Concentration probability

Based on concentration probability of estimators about a true parameter, third-order asymptotic e ciency of the rst-order bias-adjusted MLE within the class of rst-order bias-adjusted estimators has been well established in a variety of probability models. In this paper we consider the class of second-order bias-adjusted Fisher consistent estimators of a structural parameter vector on the basis...

متن کامل

cient GMM estimation of spatial dynamic panel data models with xed e ¤ ects

This paper proposes the GMM estimation of the spatial dynamic panel data model with …xed e¤ects when n is large, and T can be large, but small relative to n. By eliminating …xed e¤ects to begin with, we investigate asymptotic properties of the estimators, where exogenous and predetermined variables are used as instruments. For the spatial dynamic panel data model, as compared with the dynamic p...

متن کامل

Gel Criteria for Moment Condition Models

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 counterparts. The basis for GEL estimation is via a smoothed version of the moment indicators using kern...

متن کامل

Likelihood Inferencein the Errors - in - Variables Modelby

We consider estimation and conndence regions for the parameters and based on the observations is known up to a constant. We study the asymptotic performance of the estimators deened as the maximum likelihood estimator under the assumption that Z 1 ; : : :; Z n is a random sample from a completely unknown distribution. These estimators are shown to be asymptotically eecient in the semi-parametri...

متن کامل

A new class of entropy estimators for multi-dimensional densities

We present a new class of estimators for approximating the entropy of multi-dimensional probability densities based on a sample of the density. These estimators extend the classic ”m-spacing” estimators of Vasicek and others for estimating entropies of one-dimensional probability densities. Unlike plug-in estimators of entropy, which £rst estimate a probability density and then compute its entr...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008