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Benchmark Priors Revisited : : On Adaptive Shrinkage and the Supermodel Effect in Bayesian Model Averaging / / Martin Feldkircher, Stefan Zeugner



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Autore: Feldkircher Martin Visualizza persona
Titolo: Benchmark Priors Revisited : : On Adaptive Shrinkage and the Supermodel Effect in Bayesian Model Averaging / / Martin Feldkircher, Stefan Zeugner Visualizza cluster
Pubblicazione: Washington, D.C. : , : International Monetary Fund, , 2009
Edizione: 1st ed.
Descrizione fisica: 39 p. : col. ill
Disciplina: 332.015195
Soggetto topico: Bayesian statistical decision theory
Economic development - Mathematical models
Econometrics
Inflation
Labor
Public Finance
Data Processing
Bayesian Analysis: General
Data Collection and Data Estimation Methodology
Computer Programs: General
National Government Expenditures and Related Policies: Infrastructures
Other Public Investment and Capital Stock
Human Capital
Skills
Occupational Choice
Labor Productivity
Price Level
Deflation
Bayesian inference
Data capture & analysis
Public finance & taxation
Labour
income economics
Macroeconomics
Bayesian models
Data processing
Public investment and public-private partnerships (PPP)
Human capital
Econometric models
Electronic data processing
Public-private sector cooperation
Prices
Altri autori: ZeugnerStefan  
Note generali: "September 2009."
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: 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 -- References -- Footnotes.
Sommario/riassunto: 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 posterior model distributions to data quality. Analytically, existing work on the hyper-g-prior is complemented by posterior expressions essential to fully Bayesian analysis and to sound numerical implementation. A simulation experiment illustrates the implications for posterior inference. Furthermore, an application to determinants of economic growth identifies several covariates whose robustness differs considerably from previous results.
Titolo autorizzato: Benchmark Priors Revisited  Visualizza cluster
ISBN: 1-4623-4466-6
1-4518-7349-2
9786612844096
1-4527-6923-0
1-282-84409-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910812315003321
Lo trovi qui: Univ. Federico II
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Serie: IMF Working Papers; Working Paper ; ; No. 2009/202