Benchmark Priors Revisited.
Default prior choices fixing Zellner's g are predominant in the Bayesian Model Averaging literature, but tend to concentrate posterior mass on a tiny set of models. The paper demonstrates this supermodel effect and proposes to address it by a hyper-g prior, whose data-dependent shrinkage adapts...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Washington :
International Monetary Fund,
2009.
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Colección: | IMF Working Papers.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover Page; Title Page; Copyright Page; Contents; I Introduction; II Bayesian Model Averaging under Zellner's g Prior; II. 1 Popular Settings for Zellner's g; III The Hyper-g Prior: A Beta Prior on the Shrinkage Factor; IV A Simulation Study; V Growth Determinants Revisited; VI Concluding Remarks; A Technical Appendix; A. 1 Consistency of the Hyper-g Prior; A. 2 Relationship between Hyper-g Prior and EBL; A. 3 The Shrinkage Factor and Goodness-of-Fit; A. 4 The Posterior Predictive Distribution and the Hyper-g Prior; A. 5 The Beta-binomial Prior over the Model Space; A. 6 Charts and Tables.