The finite-sample properties of bootstrap tests in multiple structural change models
We propose bootstrap methods to approximate the distributions of test statistics for multiple structural breaks. The major advantage of these methods is that they allow freeing us from the constraints imposed by the asymptotic theory on parameters of the model. We also find that the asymptotic critical values lead to serious size distortions while, on the contrary, the bootstrap procedure leads to remarkably reliable tests in dynamic models.
Volume (Year): 30 (2010)
Issue (Month): 1 ()
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- Perron, P. & Bai, J., 1995.
"Estimating and Testing Linear Models with Multiple Structural Changes,"
Cahiers de recherche
9552, Universite de Montreal, Departement de sciences economiques.
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93-11, Federal Reserve Bank of Philadelphia.
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