Consistent Model and Moment Selection Procedures for Gmm Estimation with Application to Dynamic Panel Data Models By
نویسندگان
چکیده
This paper develops consistent model and moment selection criteria for GMM estimation. The criteria select the correct model speci"cation and all correct moment conditions asymptotically. The selection criteria resemble the widely used likelihoodbased selection criteria BIC, HQIC, and AIC. (The latter is not consistent.) The GMM selection criteria are based on the J statistic for testing over-identifying restrictions. Bonus terms reward the use of fewer parameters for a given number of moment conditions and the use of more moment conditions for a given number of parameters. The paper also considers a consistent downward testing procedure. The paper applies the model and moment selection criteria to dynamic panel data models with unobserved individual e!ects. The paper shows how to apply the selection criteria to select the lag length for lagged dependent variables, to detect the number and locations of structural breaks, to determine the exogeneity of regressors, and/or to determine the existence of correlation between some regressors and the individual e!ect. To illustrate the "nite sample performance of the selection criteria and the testing procedures and their impact *Corresponding author. Fax: #1-203-432-6167. E-mail address: [email protected] (D.W.K. Andrews). 1The "rst version of this paper was done when the second author was studying at Department of Economics, Yale University. We thank two referees, Peter Phillips, Chris Sims, and seminar participants at Yale University and SUNY at Stony Brook for very helpful comments and suggestions. The "rst author gratefully acknowledges the research support of the National Science Foundation via grant numbers SBR-9410675 and SBR-9730277. 0304-4076/01/$ see front matter ( 2001 Elsevier Science S.A. All rights reserved. PII: S 0 3 0 4 4 0 7 6 ( 0 0 ) 0 0 0 7 7 4 on parameter estimation, the paper reports the results of a Monte Carlo experiment on a dynamic panel data model. ( 2001 Elsevier Science S.A. All rights reserved. JEL classixcation: C12; C13; C52
منابع مشابه
Consistent model and moment selection procedures for GMM estimation with application to dynamic panel data models
This paper develops consistent model and moment selection criteria for GMM estimation. The criteria select the correct model speci"cation and all correct moment conditions asymptotically. The selection criteria resemble the widely used likelihoodbased selection criteria BIC, HQIC, and AIC. (The latter is not consistent.) The GMM selection criteria are based on the J statistic for testing over-i...
متن کاملAdaptive Elastic Net GMM Estimator with Many Invalid Moment Conditions: A Simultaneous Model and Moment Selection
This paper develops an adaptive elastic-net GMM estimator with many possibly invalid moment conditions. We allow for the number of structural parameters (p0) as well as the number of moment conditions increasing with the sample size (n). The new estimator conducts simultaneous model and moment selection. We estimate the structural parameters along with parameters associated with the invalid mom...
متن کاملThe Optimal Choice of Moments in Dynamic Panel
Empirical researchers frequently use dynamic panel data models and employ Generalized Method of Moments (GMM) estimators (Hansen, 1982) to estimate model parameters. An important practical problem in the estimation of a dynamic panel data model is the choice of moments as it provides a large number of moment conditions. Even though adding moment conditions leads to efficiency gain according to ...
متن کاملAdaptive Elastic Net GMM Estima- tion with Many Invalid Moment Conditions: Simultaneous Model and Moment Selection CENTER FOR POLICY RESEARCH –Spring 2015
This paper develops the adaptive elastic net GMM estimator in large dimensional models with many possibly invalid moment conditions, where both the number of structural parameters and the number of moment conditions may increase with the sample size. The basic idea is to conduct the standard GMM estimation combined with two penalty terms: the quadratic regularization and the adaptively weighted...
متن کاملcient 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