Bias correcting adjustment coefficients in a cointegrated VAR with known cointegrating vectors

Authors
Publication date 2013
Series UvA-Econometrics Discussion Paper, 2013-05
Number of pages 8
Publisher Amsterdam: University of Amsterdam
Organisations
  • Faculty of Economics and Business (FEB) - Amsterdam School of Economics Research Institute (ASE-RI)
Abstract The maximum likelihood estimator of the adjustment coefficient in a cointegrated vector autoregressive model (CVAR) is generally biased. For the case where the cointegrating vector is known in a first-order CVAR with no intercept, we derive a condition for the unbiasedness of the maximum likelihood estimator of the adjustment coefficients, and provide a simple characterization of the bias in case this condition is violated. A feasible bias correction method is shown to virtually eliminate the bias over a large part of the parameter space.
Document type Working paper
Note June 4, 2013
Language English
Published at http://aseri.uva.nl/binaries/content/assets/subsites/amsterdam-school-of-economics-research-institute/uva-econometrics/dp-2013/1305.pdf
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