期刊名称：Cardiff Economics Working Papers / Cardiff University, Cardiff Business School
印刷版ISSN：1749-6101
出版年度：2016
期号：10
语种：English
出版社：Cardiff University
摘要：While a good deal of research in simultaneous equation models has been conducted to examine the small sample properties of coefficient estimators there has not been a corresponding interest in the properties of estimators for the associated variances. In this paper we build on Kiviet and Phillips (2000) and explore the biases in variance estimators. This is done for the 2SLS and the MLIML estimators.The approximations to the bias are then used to develop less biased estimators whose properties are examined and compared in a number of simulation experiments. In addition, a bootstrap estimator is included which is found to perform especially well. The experiments also consider coverage probabilities/test sizes and test powers of the t-tests where it is shown that tests based on 2SLS are generally oversized while test sizes based on MLIML are closer to nominal levels. In both cases test statistics based on the corrected variance estimates generally have a higher power than standard procedures.
关键词：Simultaneous equation models;2SLS and Fuller's estimators;Bias corrected variance estimation;Inference and bias corrected variance
