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Автор Chihwa, Kao
Автор Ross, Stephen. L.
Дата выпуска 1995
dc.description This paper considers a modified CUSUM test, suggested by Dufour (1982) for parameter instability and structural change with an unknown change point in a linear model with serially correlated disturbances, in which a preliminary estimate of the autoregressive coefficient for the error process is obtained, and used to transform the data. Then the standard CUSUM statistic is calculated on the transformed data. This paper derives the asymptotic distribution of the modified CUSUM test. We show that the modified CUSUM test retains its asymptotic significance level, i.e., the modified CUSUM test has the same asymptotic distribution as the CUSUM test with serially uncorrelated errors.
Формат application.pdf
Издатель Marcel Dekker, Inc.
Копирайт Copyright Taylor and Francis Group, LLC
Тема Structural Change
Тема Modified Cusum Test
Тема Dufour Test
Название A cusum test in the linear regression model with serially correlated disturbances
Тип research-article
DOI 10.1080/07474939508800324
Electronic ISSN 1532-4168
Print ISSN 0747-4938
Журнал Econometric Reviews
Том 14
Первая страница 331
Последняя страница 346
Аффилиация Chihwa, Kao; Department of Economics, Syracuse University
Аффилиация Ross, Stephen. L.; Department of Economics, University of Connecticut
Выпуск 3
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