Specification tests for time-varying parameter models with stochastic volatility
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Chan, Joshua C. C.
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Crawford School of Public Policy, The Australian National University
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We propose an easy technique to test for time-variation in coefficients and volatilities. Specifically, by using a noncentered parameterization for state space models, we develop a method to directly calculate the relevant Bayes factor using the Savage-Dickey density ratio ?thus avoiding the computation of the marginal likelihood altogether. The proposed methodology is illustrated via two empirical applications. In the first application we test for time-variation in the volatility of inflation in the G7 countries. The second application investigates if there is substantial time-variation in the NAIRU in the US.
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Centre for Applied Macroeconomic Analysis Working Papers
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