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This paper makes the following original contributions to the literature. (1) We develop a simpler analytical characterization and numerical algorithm for Bayesian inference in structural vector autoregressions that can be used for models that are overidentified, just-identified, or...
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Reporting point estimates and error bands for structural vector autoregressions that are only set identified is a very common practice. However, unless the researcher is persuaded on the basis of prior information that some parameter values are more plausible than others, this common practice...
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Frontmatter -- Contents -- Preface -- 1 Difference Equations -- 1.1. First-Order Difference Equations -- 1.2. pth-Order Difference Equations -- APPENDIX I.A. Proofs of Chapter 1 Propositions -- Chapter 1 References -- 2 Lag Operators -- 2.1. Introduction -- 2.2. First-Order Difference Equations...
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