Mixed Normality and Ancillarity in I(2) Systems

Authors
Publication date 2000
Journal Econometric Theory
Pages (from-to) 878-904
Organisations
  • Faculty of Economics and Business (FEB) - Amsterdam School of Economics Research Institute (ASE-RI)
Abstract This paper studies asymptotic likelihood inference on cointegration parameters in systems integrated of order two. We start with so-called triangular systems and then extend the analysis to vector autoregressions. We show that even when all unit root restrictions have been imposed, the asymptotic observed information is not (locally) ancillary, which implies that the log-likelihood ratio is not locally asymptotically mixed normal. The results are applied to inference on polynomial cointegration. Some similarities and differences with I(1) systems are also discussed.
Document type Article
Note Originally published by Cambridge University Press
Published at http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=61969
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