Estimating the Number of Unit Roots: A Multiple Decision Approach
Abstract: The problem of detecting unit roots in univariate and multivariate time series data is treated as a problem of multiple decisions instead of a testing problem, as is otherwise common in the econometric and statistical literature. Four examples for such multiple decision designs are conside...| Link(s) zu Dokument(en): | IHS Publikation |
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| Format: | IHS Series NonPeerReviewed |
| Sprache: | Englisch |
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Institut für Höhere Studien
1995
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| Zusammenfassung: | Abstract: The problem of detecting unit roots in univariate and multivariate time series data is treated as a problem of multiple decisions instead of a testing problem, as is otherwise common in the econometric and statistical literature. Four examples for such multiple decision designs are considered: first- and second-order integrated univariate processes; conintegration in a bivariate model; seasonal integration for semester data; seasonal integration for quarterly data. In all cases, restrictedly optimum decision rules are found for finite samples based on Monte Carlo simulation.; |
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