Low-Frequency Robust Cointegration Testing
50 Pages Posted: 31 Aug 2009 Last revised: 15 Apr 2022
Date Written: August 2009
Standard inference in cointegrating models is fragile because it relies on an assumption of an I(1) model for the common stochastic trends, which may not accurately describe the data's persistence. This paper discusses efficient low-frequency inference about cointegrating vectors that is robust to this potential misspecification. A simple test motivated by the analysis in Wright (2000) is developed and shown to be approximately optimal in the case of a single cointegrating vector.
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