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We develop importance sampling methods for computing two popular Bayesian model comparison criteria, namely, the marginal likelihood and deviance information criterion (DIC) for TVP-VARs with stochastic volatility. The proposed estimators are based on the integrated likelihood, which are...
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We compare a number of GARCH and stochastic volatility (SV) models using nine series of oil, petroleum product and … natural gas prices in a formal Bayesian model comparison exercise. The competing models include the standard models of GARCH(1 … innovations. We find that: (1) SV models generally compare favorably to their GARCH counterparts; (2) the jump component …
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Empirical work in macroeconometrics has been mostly restricted to using VARs, even though there are strong theoretical reasons to consider general VARMAs. A number of articles in the last two decades have conjectured that this is because estimation of VARMAs is perceived to be challenging and...
Persistent link: https://www.econbiz.de/10013021301
This paper studies the joint dynamics of U.S. inflation and the average inflation predictions of the Survey of Professional Forecasters (SPF) on a sample running from 1968Q4 to 2014Q2. The joint data generating process (DGP) of these data consists of the unobserved components (UC) model of Stock...
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