On the second-order properties of empirical likelihood with moment restrictions

This paper considers the second-order properties of empirical likelihood (EL) for a parameter defined by moment restrictions, which is the inferential framework of the generalized method of moments. It is shown that the EL defined for this general framework still admits the delicate second-order property of Bartlett correction. This represents a substantial extension of all the established cases of Bartlett correction for the EL. An empirical Bartlett correction is proposed, which is shown to work effectively in improving the coverage accuracy of confidence regions for the parameter.

[1]  R. Rao,et al.  Normal Approximation and Asymptotic Expansions , 1976 .

[2]  Yuichi Kitamura,et al.  Empirical Likelihood Based Inference in Conditional Moment Restriction Models , 2004 .

[3]  L. Hansen Large Sample Properties of Generalized Method of Moments Estimators , 1982 .

[4]  Guido W. Imbens,et al.  One-step estimators for over-identified generalized method of moments models , 1997 .

[5]  Jiti Gao,et al.  An adaptive empirical likelihood test for parametric time series regression models , 2007 .

[6]  K. DonaldW. Generalized Method of Moments Estimation When a Parameter Is on a Boundary , 1999 .

[7]  Whitney K. Newey,et al.  Generalized Method of Moments, Efficient Bootstrapping, and Improved Inference , 2002 .

[8]  J. Ghosh,et al.  ON THE VALIDITY OF THE FORMAL EDGEWORTH EXPANSION , 1978 .

[9]  Bruce E. Hansen,et al.  Generalized Method of Moments and Macroeconomics , 2002 .

[10]  Richard J. Smith Alternative Semi-parametric Likelihood Approaches to Generalised Method of Moments Estimation , 1997 .

[11]  Hengjian Cui,et al.  On Bartlett correction of empirical likelihood in the presence of nuisance parameters , 2006 .

[12]  Peter Hall,et al.  Methodology and algorithms of empirical likelihood , 1990 .

[13]  M. Bartlett Properties of Sufficiency and Statistical Tests , 1992 .

[14]  Song Xi Chen,et al.  On the accuracy of empirical likelihood confidence regions for linear regression model , 1993 .

[15]  J. Lawless,et al.  Empirical Likelihood and General Estimating Equations , 1994 .

[16]  P. Hall The Bootstrap and Edgeworth Expansion , 1992 .

[17]  Yuichi Kitamura,et al.  An Information-Theoretic Alternative to Generalized Method of Moments Estimation , 1997 .

[18]  Bing-Yi Jing,et al.  Exponential empirical likelihood is not Bartlett correctable , 1996 .

[19]  Nicole A. Lazar,et al.  Empirical likelihood in the presence of nuisance parameters , 1999 .

[20]  Thomas J. DiCiccio,et al.  Empirical Likelihood is Bartlett-Correctable , 1991 .

[21]  Song Xi Chen,et al.  Empirical Likelihood Confidence Intervals for Linear Regression Coefficients , 1994 .

[22]  Keith A. Baggerly,et al.  Empirical likelihood as a goodness-of-fit measure , 1998 .

[23]  Yuichi Kitamura,et al.  Empirical likelihood methods with weakly dependent processes , 1997 .

[24]  Xiaotong Shen,et al.  Empirical Likelihood , 2002 .

[25]  Whitney K. Newey,et al.  Higher Order Properties of Gmm and Generalized Empirical Likelihood Estimators , 2003 .

[26]  Yuichi Kitamura,et al.  Testing conditional moment restrictions , 2003 .

[27]  Ravi Jagannathan,et al.  Generalized Method of Moments: Applications in Finance , 2002 .

[28]  Guido W. Imbens,et al.  Empirical likelihood estimation and consistent tests with conditional moment restrictions , 2003 .

[29]  Yuichi Kitamura,et al.  On the Asymptotic Optimality of Empirical Likelihood for Testing Moment Restrictions , 2001 .

[30]  A. Owen Empirical likelihood ratio confidence intervals for a single functional , 1988 .