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show how the methods are used. Some of the examples are new to the econometrics literature. They include inference in …
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This chapter reviews Bayesian methods for inference and forecasting with VAR models. Bayesian inference and, by extension, forecasting depends on numerical methods for simulating from the posterior distribution of the parameters and special attention is given to the implementation of the...
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Highly non-elliptical posterior distributions may occur in several econometric models, in particular, when the likelihood information is allowed to dominate and data information is weak. We explain the issue of highly non-elliptical posteriors in a model for the effect of education on income...
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with a switching intercept term. Of course, this likely leads to a rejection of cointegration by standard tests and to the …
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