Usage of Different Prior Distributions in Bayesian Vector Autoregressive Models

Year 2009, Volume: 38 Issue: 1, 85 - 93, 01.01.2009

V. Sevinç G. Ergün

Abstract

Usage of Different Prior Distributions in Bayesian Vector Autoregressive Models

Abstract

In Bayesian vector autoregressive models, the Litterman or Minnesota Prior is widely used. However, in some cases, the Minnesota prior is not the best prior distribution that can be used. Thus, other prior distributions can also be applied. In this paper, as well as the Minnesota prior, four other prior distributions have been studied. Based on these prior distributions, five different Bayesian vector autoregressive models have been built to forecast the Turkish unemployment rate and the industrial production index for the two periods of the year 2008. Finally,
the five priors have been compared with each other according to the forecasting performances of the models that they are used in.

Keywords

Bayesian vector autoregressive models, Vector autoregressive models, Prior Distributions, Bayes’ Theorem, Bayesian approach, 2000 AMS Classification: 37 M 10

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