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Bayesian Cointegration Analysis

Author

Listed:
  • Sugita, K.

Abstract

This paper proposes Bayesian estimation of cointegrated VAR systems and a simple method of estimating the cointegration rank using the Bayes factors for the adjustment term. Monte Carlo experiments show that the method proposed is more powerful in selecting the rank, especially with a small sample size, than Johansen's LR test. This is due to the fact that Bayesian analysis uses the exact distributions instead of relying on asymptotic distribution theory. The method proposed here is relatively easy to implement. Over-identifying restrictions on the cointegrating vectors are also considered.

Suggested Citation

  • Sugita, K., 2001. "Bayesian Cointegration Analysis," The Warwick Economics Research Paper Series (TWERPS) 591, University of Warwick, Department of Economics.
    • Handle: RePEc:wrk:warwec:591
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    Cited by:

    1. Chew Lian Chua & Peter Summers, 2004. "Structural Error Correction Model: A Bayesian Perspective," Econometric Society 2004 Far Eastern Meetings 702, Econometric Society.

    More about this item

    Keywords

    COINTEGRATION ; DISTRIBUTIONS ; BAYES FACTORS;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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