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Model Uncertainty in Panel Vector Autoregressive Models

Author

Listed:
  • Gary Koop

    (Department of Economics, University of Strathclyde, United Kingdom; The Rimini Centre for Economic Analysis, Italy)

  • Dimitris Korobilis

    (Department of Economics, University of Glasgow, United Kingdom; The Rimini Centre for Economic Analysis, Italy)

Abstract
We develop methods for Bayesian model averaging (BMA) or selection (BMS) in Panel Vector Autoregressions (PVARs). Our approach allows us to select between or average over all possible combinations of restricted PVARs where the restrictions involve interdependencies between and heterogeneities across cross-sectional units. The resulting BMA framework can find a parsimonious PVAR specification, thus dealing with overparameterization concerns. We use these methods in an application involving the euro area sovereign debt crisis and show that our methods perform better than alternatives. Our findings contradict a simple view of the sovereign debt crisis which divides the euro zone into groups of core and peripheral countries and worries about financial contagion within the latter group.

Suggested Citation

  • Gary Koop & Dimitris Korobilis, 2014. "Model Uncertainty in Panel Vector Autoregressive Models," Working Paper series 39_14, Rimini Centre for Economic Analysis.
    • Handle: RePEc:rim:rimwps:39_14
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    References listed on IDEAS

    as
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    More about this item

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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