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Uncertainty Through the Lenses of A Mixed-Frequency Bayesian Panel Markov Switching Model

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  • Casarin, Roberto
  • Foroni, Claudia
  • Marcellino, Massimiliano
  • Ravazzolo, Francesco

Abstract

We propose a Bayesian panel model for mixed frequency data, where parameters can change over time according to a Markov process. Our model allows for both structural instability and random effects. To estimate the model, we develop a Markov Chain Monte Carlo algorithm for sampling from the joint posterior distribution of the model parameters, and we test its properties in simulation experiments. We use the model to study the effects of macroeconomic uncertainty and financiall uncertainty on a set of variables in a multi-country context including the US, several European countries and Japan. Wefind that for most of the variables financial uncertainty dominates macroeconomic uncertainty. Furthermore, we show that the effects of uncertainty differ whether the economy is in a contraction regime or in an expansion regime.

Suggested Citation

  • Casarin, Roberto & Foroni, Claudia & Marcellino, Massimiliano & Ravazzolo, Francesco, 2017. "Uncertainty Through the Lenses of A Mixed-Frequency Bayesian Panel Markov Switching Model," CEPR Discussion Papers 12339, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:12339
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    References listed on IDEAS

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    Cited by:

    1. Giovanni Caggiano & Efrem Castelnuovo, 2018. "Economic Policy Uncertainty Spillovers in Booms and Busts," "Marco Fanno" Working Papers 0220, Dipartimento di Scienze Economiche "Marco Fanno".
    2. Giovanni Caggiano & Efrem Castelnuovo & Juan Manuel Figueres, 2018. "Economic Policy Uncertainty Spillovers in Booms and Busts," CESifo Working Paper Series 7086, CESifo Group Munich.

    More about this item

    Keywords

    Bayesian inference; dynamic panel model; Markov switching; MCMC; mixed-frequency;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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