Exploiting Cross Section Variation for Unit Root Inference in Dynamic Data
AbstractThis paper considers unit root regressions in data having simultaneously extensive cross section and time-eries variation. The standard least squares estimators in such data structures turn out to have an asymptotic distribution that is neither Dickey-Fuller, nor normal and asymptotically unbiased. Instead, the estimator turns out to be consistent and asymptotically normal, but has a nonvanishing bias in its asymptotic distribution.
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Bibliographic InfoPaper provided by Stockholm - International Economic Studies in its series Papers with number 549.
Length: 18 pages
Date of creation: 1993
Date of revision:
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Postal: UNIVERSITY OF STOCKHOLM, INSTITUTE FOR INTERNATIONAL ECONOMIC STUDIES, S- 106 91 STOCKHOLM SWEDEN.
Web page: http://www.iies.su.se/
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Other versions of this item:
- Quah, Danny, 1994. "Exploiting cross-section variation for unit root inference in dynamic data," Economics Letters, Elsevier, vol. 44(1-2), pages 9-19.
- Danny Quah, 1993. "Exploiting Cross Section Variation for Unit Root Inference in Dynamic Data," FMG Discussion Papers dp171, Financial Markets Group.
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