System Priors for Econometric Time Series
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Summary:
The paper introduces “system priors”, their use in Bayesian analysis of econometric time series, and provides a simple and illustrative application. System priors were devised by Andrle and Benes (2013) as a tool to incorporate prior knowledge into an economic model. Unlike priors about individual parameters, system priors offer a simple and efficient way of formulating well-defined and economically-meaningful priors about high-level model properties. The generality of system priors are illustrated using an AR(2) process with a prior that most of its dynamics comes from business-cycle frequencies.
Series:
Working Paper No. 2016/231
Subject:
English
Publication Date:
November 17, 2016
ISBN/ISSN:
9781475555820/1018-5941
Stock No:
WPIEA2016231
Pages:
18
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