Dynamic Probabilities of Restrictions in State Space Models: An Application to the Phillips Curve

被引:20
作者
Koop, Gary [1 ]
Leon-Gonzalez, Roberto [2 ]
Strachan, Rodney W. [3 ]
机构
[1] Univ Strathclyde, Dept Econ, Glasgow G4 0GE, Lanark, Scotland
[2] Natl Grad Inst Policy Studies, Minato Ku, Tokyo 1068677, Japan
[3] Univ Queensland, Sch Econ, Brisbane, Qld 4072, Australia
基金
澳大利亚研究理事会;
关键词
Bayesian; Savage-Dickey density ratio; State space model; Time-varying parameter model; GROWTH;
D O I
10.1198/jbes.2009.07335
中图分类号
F [经济];
学科分类号
02 ;
摘要
Using the Savage Dickey density ratio and an alternative approach that uses more relaxed assumptions, we develop methods to calculate the probability that a restriction holds at a point in time without assuming that the restriction holds at any other points in time. Both approaches use MCMC output only from the unrestricted model to compute the time-varying posterior probabilities for all models of interest. Using U.S. data, we find the probability that the long-run Phillips curve is vertical to be fairly high, but decreases over time. The probability that the NAIRU is not identified fluctuates over time, but increases after 1990.
引用
收藏
页码:370 / 379
页数:10
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