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Weak Instrumental Variables Models for Longitudinal Data

id：2137 时间：20131014 status：published 点击数：
杂志Econometric Reviews   
作者Zongwu Cai, Ying Fang, Henong Li
正文This paper considers the estimation and testing of a within-group two-stage least squares (TSLS) estimator for instruments with varying degrees of weakness in a longitudinal (panel) Data model. We show that adding the repeated cross-sectional information into aregression model can improve the estimation in weak instruments. Moreover, the consistency and limiting distribution of the TSLS estimator are established when both N and T tend to infinity. Some asymptotically pivotal tests are extended to alongitudinal data model and their asymptotic properties are examined. A Monte Carlo experiment is conducted to evaluate the finite sample performance of the proposed estimators.
JEL-Codes：C13, C14, C33
关键词：Longitudinal Data; Nearly Weak Instruments; Panel Data; Weak Instruments; Within-group TSLS Estimator.
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