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Bayesian Unit Root Test for Time Series Models with Structural Break in Variance

Author

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  • Rishi Kumar
  • Jitendra Kumar
  • Anoop Chaturvedi

Abstract

The present article considers Bayesian unit root test for autoregressive model involving structural break in variance. The posterior odds ratio for testing of unit root hypothesis against the alternative of break in variance has been derived under appropriate prior assumptions for the parameters. The theoretical results are applied to export data of selected ASEAN countries.

Suggested Citation

  • Rishi Kumar & Jitendra Kumar & Anoop Chaturvedi, 2012. "Bayesian Unit Root Test for Time Series Models with Structural Break in Variance," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 55(1), pages 75-86.
    • Handle: RePEc:eei:journl:v:55:y:2012:i:1:p:75-86
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    Cited by:

    1. Varun Agiwal & Jitendra Kumar & Dahud Kehinde Shangodoyin, 2020. "A Bayesian analysis of complete multiple breaks in a panel autoregressive (CMB-PAR(1)) time series model," Statistics in Transition New Series, Polish Statistical Association, vol. 21(5), pages 133-149, December.

    More about this item

    Keywords

    Autoregressive model; break in variance; prior distribution; posterior odds ratio.;
    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
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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