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On Unit-Root Tests When the Alternative Is a Trend-Break Stationary Process

Dados Bibliográficos

ID19420063
AutoresAmit Sen (0000-0002-0037-5465, Xavier University, autor correspondente)
Ano2003
Volume21
Fascículo1
Páginas174-184
Data de publicação2003-01-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoJournal of Business and Economic Statistics (JOURNAL)
Identificadores do periódicoISSN: 0735-0015 • E-ISSN: 1537-2707
EditoraInforma UK Limited (PUBLISHER • GB)
DOI10.1198/073500102288618874
OpenAlexW2056539284
IdiomaEN
Citações recebidas19
Referências citadas18

Minimum t statistics to test for a unit-root are available when the form of break under the alternative evolves according to the crash, changing growth, and mixed models. It is shown that serious power distortions occur if the form of break is misspecified, and thus the practitioner should use the mixed model as the appropriate alternative in empirical applications. The mixed model may reveal useful information regarding the location and form of break. The maximum F statistic for the joint null of a unit-root and no breaks is shown to have greater and less erratic power compared to the minimumt statistic. Stronger evidence against the unit-root is found for the Nelson-Plosser series and U.S. Postwar quarterly real gross national product

Alternative hypothesis · Cointegration · Econometrics · Null hypothesis · Statistic · Statistical hypothesis testing · Statistics · Structural break · Test statistic · Unit root · Unit root test · Computer Science · Economic Growth and Productivity · Economic theories and models · Mathematics · Monetary Policy and Economic Impact

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Obras citantes distintas19
Citações por ano0,95
Intervalo de citações2006 - 2024 (19)
Velocidade de citaçãorecent
Altamente citadoNão
Tipos de citaçãoNeutras: 19
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