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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
Bayesian Analysis: General
Bayesian inference
Bayesian models
Computer Programs: General
Data capture & analysis
Data Collection and Data Estimation Methodology
Data Processing
Data processing
Deflation
Econometric models
Econometrics
Electronic data processing
Human Capital
Human capital
Income economics
Inflation
Labor Productivity
Labor
Labour
Macroeconomics
National Government Expenditures and Related Policies: Infrastructures
Occupational Choice
Other Public Investment and Capital Stock
Price Level
Prices
Public finance & taxation
Public Finance
Public investment and public-private partnerships (PPP)
Public-private sector cooperation
Skills
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: 9786612844096
9781462344666
1462344666
9781451873498
1451873492
9781452769233
1452769230
9781282844094
1282844091
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910961802503321
Lo trovi qui: Univ. Federico II
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Serie: IMF Working Papers; Working Paper ; ; No. 2009/202