Article ID Journal Published Year Pages File Type
1139930 Mathematics and Computers in Simulation 2011 8 Pages PDF
Abstract
This note investigates long-run exclusion in a cointegrated vector autoregressive (VAR) model from the viewpoint of finite-sample statistical inference. Monte Carlo experiments show that, in various circumstances, a mis-specified partial VAR model, which is justified by the existence of a long-run excluded variable, can lead to better finite-sample inference for cointegrating rank than a fully specified VAR model. Implications of long-run exclusion for econometric modelling are then considered based on the Monte Carlo study.
Related Topics
Physical Sciences and Engineering Engineering Control and Systems Engineering
Authors
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