Small-sample improvements in the statistical analysis of seasonally cointegrated systems

Open Access
Authors
  • G. Cubadda
  • P.H. Omtzigt
Publication date 2003
Series UvA Econometrics Discussion Paper, 2003/07
Number of pages 20
Publisher Amsterdam: Department of Quantitative Economics
Organisations
  • Faculty of Economics and Business (FEB) - Amsterdam School of Economics Research Institute (ASE-RI)
Abstract This paper proposes new iterative reduced-rank regression procedures for seasonal cointegration analysis. The suggested methods are motivated by the idea that modelling the cointegration restrictions jointly at different frequencies may increase efficiency in finite samples. Monte Carlo simulations indicate that the new tests and estimators perform well with respect to already existing statistical procedures.
Document type Working paper
Language English
Published at http://www1.feb.uva.nl/pp/bin/475fulltext.pdf
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