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Review of Economic Studies Vol. 73 No. 4 2006

Efficient Tests for General Persistent Time Variation in Regression Coefficients

Graham Elliott1; Ulrich K. Müller2

1 University of California System · 2 Princeton University

Abstract

There are a large number of tests for instability or breaks in coefficients in regression models designed for different possible departures from the stable model. We make two contributions to this literature. First, we consider a large class of persistent breaking processes that lead to asymptotically equivalent efficient tests. Our class allows for many or relatively few breaks, clustered breaks, regularly occurring breaks, or smooth transitions to changes in the regression coefficients. Thus, asymptotically nothing is gained by knowing the exact breaking process of the class. Second, we provide a test statistic that is simple to compute, avoids any need for searching over high dimensions when there are many breaks, is valid for a wide range of data-generating processes and has good power and size properties even in heteroscedastic models.

DOI
10.1111/j.1467-937x.2006.00402.x
Volume
73
Issue
4
Pages
907-940
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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