Tests for Parameter Instability in Regressions with I(1) Processes
AbstractThis paper derives the large sample distributions of Lagrange multiplier tests for parameter instability against several alternatives of interest in the context of cointegrated regression models. The test statistics considered include the SupF test of Quandt (1960), as well as the LM test of Nyblom (1989). It is found that the asymptotic distributions depend upon the nature of the regressor processes, i.e., if the regressors are stochastic or deterministic trends. The distributions are noticeably different from the distributions when the data are weakly dependent. The tests are applied to three data sets: an aggregate consumption function, a present value model of stock prices and dividends, and the term structure of interest rates.
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Bibliographic InfoArticle provided by American Statistical Association in its journal Journal of Business and Economic Statistics.
Volume (Year): 10 (1992)
Issue (Month): 3 (July)
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Web page: http://www.amstat.org/publications/jbes/index.cfm?fuseaction=main
Other versions of this item:
- Hansen, Bruce E, 2002. "Tests for Parameter Instability in Regressions with I(1) Processes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 45-59, January.
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