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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- Jushan Bai & Pierre Perron, 1998.
"Estimating and Testing Linear Models with Multiple Structural Changes,"
Econometric Society, vol. 66(1), pages 47-78, January.
- Perron, P. & Bai, J., 1995. "Estimating and Testing Linear Models with Multiple Structural Changes," Cahiers de recherche 9552, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- 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.
- James G. MacKinnon, 2002. "Bootstrap inference in econometrics," Canadian Journal of Economics, Canadian Economics Association, vol. 35(4), pages 615-645, November.
- Russell Davidson & James G. MacKinnon, 2001.
"Bootstrap Tests: How Many Bootstraps?,"
1036, Queen's University, Department of Economics.
- Diebold, Francis X. & Chen, Celia, 1996.
"Testing structural stability with endogenous breakpoint A size comparison of analytic and bootstrap procedures,"
Journal of Econometrics,
Elsevier, vol. 70(1), pages 221-241, January.
- Francis X. Diebold & Celia Chen, 1993. "Testing structural stability with endogenous break point: a size comparison of analytic and bootstrap procedures," Working Papers 93-11, Federal Reserve Bank of Philadelphia.
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