Estimation of Structural Break Point in Linear Regression Models
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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, Universite de Montreal, Departement de sciences economiques.
- 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.
- Alessandro Casini & Pierre Perron, 2017.
"Continuous Record Laplace-based Inference about the Break Date in Structural Change Models,"
Boston University - Department of Economics - Working Papers Series
WP2018-011, Boston University - Department of Economics.
- Alessandro Casini & Pierre Perron, 2018. "Continuous Record Laplace-based Inference about the Break Date in Structural Change Models," Papers 1804.00232, arXiv.org, revised Aug 2019.
- Chong, Terence Tai-Leung, 2001. "Structural Change In Ar(1) Models," Econometric Theory, Cambridge University Press, vol. 17(1), pages 87-155, February.
- Jiang, Liang & Wang, Xiaohu & Yu, Jun, 2017. "In-fill Asymptotic Theory for Structural Break Point in Autoregression: A Unified Theory," Economics and Statistics Working Papers 10-2017, Singapore Management University, School of Economics.
- Kurozumi, Eiji & Tuvaandorj, Purevdorj, 2011.
"Model selection criteria in multivariate models with multiple structural changes,"
Journal of Econometrics,
Elsevier, vol. 164(2), pages 218-238, October.
- Eiji Kurozumi & Purevdorj Tuvaandorj, 2010. "Model Selection Criteria in Multivariate Models with Multiple Structural Changes," Global COE Hi-Stat Discussion Paper Series gd10-144, Institute of Economic Research, Hitotsubashi University.
- Bruce E. Hansen, 2001. "The New Econometrics of Structural Change: Dating Breaks in U.S. Labour Productivity," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 117-128, Fall.
- Elliott, Graham & Muller, Ulrich K., 2007.
"Confidence sets for the date of a single break in linear time series regressions,"
Journal of Econometrics,
Elsevier, vol. 141(2), pages 1196-1218, December.
- Elliott, Graham & Muller, Ulrich K., 2004. "Confidence Sets for the Date of a Single Break in Linear Time Series Regressions," University of California at San Diego, Economics Working Paper Series qt9hf4j4c2, Department of Economics, UC San Diego.
- Hansen, Bruce E., 1991. "Strong Laws for Dependent Heterogeneous Processes," Econometric Theory, Cambridge University Press, vol. 7(2), pages 213-221, June.
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