Permutation Tests for Structural Change

Zeileis, Achim and Hothorn, Torsten (2006) Permutation Tests for Structural Change. Research Report Series / Department of Statistics and Mathematics, 43. Department of Statistics and Mathematics, WU Vienna University of Economics and Business, Vienna.


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The supLM test for structural change is embedded into a permutation test framework for a simple location model. The resulting conditional permutation distribution is compared to the usual (unconditional) asymptotic distribution, showing that the power of the test can be clearly improved in small samples. Furthermore, generalizations are discussed for binary and multivariate dependent variables as well as model-based permutation testing for structural change. The procedures suggested are illustrated using both artificial and real-world data (number of youth homicides, employment discrimination data, structural-change publications, and stock returns).

Item Type: Paper
Keywords: conditional inference / asymptotic distribution / exact distribution / maximally-selected statistics
Divisions: Departments > Finance, Accounting and Statistics > Statistics and Mathematics
Depositing User: Repository Administrator
Date Deposited: 12 Dec 2006 15:42
Last Modified: 22 Oct 2019 00:41


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