Bias correcting adjustment coefficients in a cointegrated VAR with known cointegrating vectors
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.
|Date of creation:||04 Jun 2013|
|Contact details of provider:|| Postal: Dept. of Econometrics, Universiteit van Amsterdam, Valckenierstraat 65, NL - 1018 XE Amsterdam, The Netherlands|
Web page: http://www.ase.uva.nl/uva-econometrics
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- Karim M. Abadir & Kaddour Hadri & Elias Tzavalis, 1999.
"The Influence of VAR Dimensions on Estimator Biases,"
Econometric Society, vol. 67(1), pages 163-182, January.
- Karim Abadir & Kaddour Hadri & Elias Tzavalis, "undated". "The Influence of VAR Dimensions on Estimator Biases," Discussion Papers 96/14, Department of Economics, University of York.
- repec:adr:anecst:y:1986:i:4:p:05 is not listed on IDEAS
- Magnus, J.R., 1986. "The exact moments of a ratio of quadratic forms in normal variables," Other publications TiSEM c6725407-ac3c-44fd-b6d1-5, Tilburg University, School of Economics and Management.
- van GARDEREN, Kees Jan, 1997. "Exact geometry of explosive autoregressive models," CORE Discussion Papers 1997068, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE). Full references (including those not matched with items on IDEAS)
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