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Time varying VARs with inequality restrictions
Authors:Gary Koop  Simon M. Potter
Affiliation:a Department of Economics, University of Strathclyde, 130 Rottenrow, Glasgow G4 0GE, Scotland, United Kingdom
b Macroeconomics and Monetary Studies Function, Federal Reserve Bank of New York, United States
Abstract:
In many applications involving time-varying parameter VARs, it is desirable to restrict the VAR coefficients at each point in time to be non-explosive. This is an example of a problem where inequality restrictions are imposed on states in a state space model. In this paper, we describe how existing MCMC algorithms for imposing such inequality restrictions can work poorly (or not at all) and suggest alternative algorithms which exhibit better performance. Furthermore, we show that previous algorithms involve an approximation relating to a key prior integrating constant. Our algorithms are exact, not involving this approximation. In an application involving a commonly used U.S. data set, we present evidence that the algorithms proposed in this paper work well.
Keywords:Bayesian   State space model   Markov chain Monte Carlo   Metropolis-Hastings
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