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Fractional Cointegration : Bayesian Inferences Using a Jeffreys Prior

Author

Listed:
  • Martin, G.M.

Abstract

The concept of fractional cointegration, whereby deviations from an equilibrium relationship follow a fractionally integrated process, has attracted some attention of late. The extended concept allows cointegration to be associated with mean reversion in the error, rather than requiring the more stringent condition of stationarity. The paper presents a Bayesian method for conducting inference about fractional cointegration.

Suggested Citation

  • Martin, G.M., 1997. "Fractional Cointegration : Bayesian Inferences Using a Jeffreys Prior," Monash Econometrics and Business Statistics Working Papers 5/97, Monash University, Department of Econometrics and Business Statistics.
    • Handle: RePEc:msh:ebswps:1997-5
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    More about this item

    Keywords

    STATISTICS ; ECONOMETRICS;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: 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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