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Benchmark Priors Revisited : : On Adaptive Shrinkage and the Supermodel Effect in Bayesian Model Averaging / / Martin Feldkircher, Stefan Zeugner
| Benchmark Priors Revisited : : On Adaptive Shrinkage and the Supermodel Effect in Bayesian Model Averaging / / Martin Feldkircher, Stefan Zeugner |
| Autore | Feldkircher Martin |
| Pubbl/distr/stampa | Washington, D.C. : , : International Monetary Fund, , 2009 |
| Descrizione fisica | 39 p. : col. ill |
| Altri autori (Persone) | ZeugnerStefan |
| Collana | IMF Working Papers |
| 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 |
| 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 | eng |
| Record Nr. | UNINA-9910788226903321 |
Feldkircher Martin
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| Washington, D.C. : , : International Monetary Fund, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Benchmark Priors Revisited : : On Adaptive Shrinkage and the Supermodel Effect in Bayesian Model Averaging / / Martin Feldkircher, Stefan Zeugner
| Benchmark Priors Revisited : : On Adaptive Shrinkage and the Supermodel Effect in Bayesian Model Averaging / / Martin Feldkircher, Stefan Zeugner |
| Autore | Feldkircher Martin |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Washington, D.C. : , : International Monetary Fund, , 2009 |
| Descrizione fisica | 39 p. : col. ill |
| Disciplina | 332.015195 |
| Altri autori (Persone) | ZeugnerStefan |
| Collana | IMF Working Papers |
| 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 |
| 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 | eng |
| 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. |
| Record Nr. | UNINA-9910812315003321 |
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Feldkircher Martin
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||
| Washington, D.C. : , : International Monetary Fund, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Limited Information Bayesian Model Averaging for Dynamic Panels with Short Time Periods / / Alin Mirestean, Charalambos Tsangarides, Huigang Chen
| Limited Information Bayesian Model Averaging for Dynamic Panels with Short Time Periods / / Alin Mirestean, Charalambos Tsangarides, Huigang Chen |
| Autore | Mirestean Alin |
| Pubbl/distr/stampa | Washington, D.C. : , : International Monetary Fund, , 2009 |
| Descrizione fisica | 1 online resource (45 p.) |
| Altri autori (Persone) |
TsangaridesCharalambos
ChenHuigang |
| Collana | IMF Working Papers |
| Soggetto topico |
Panel analysis
Bayesian statistical decision theory Econometrics Data Processing Bayesian Analysis: General Estimation Data Collection and Data Estimation Methodology Computer Programs: General Bayesian inference Econometrics & economic statistics Data capture & analysis Bayesian models Estimation techniques Data processing Econometric models Electronic data processing |
| ISBN |
1-4623-7192-2
1-4527-1274-3 9786612842955 1-4518-7221-6 1-282-84295-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; I. Introduction; II. Model Uncertainty in the Bayesian Context; A. Model Selection and Hypothesis Testing; B. Bayesian Model Averaging; C. Choice of Priors; III. Limited Information Bayesian Model Averaging; A. A Dynamic Panel Data Model with Endogenous Regressors; B. Estimation and Moment Conditions; C. The Limited Information Criterion; IV. Monte Carlo Simualtions and Results; A. The Data Generating Process; B. Simulation Results; V. Conclusion; References; Tables; 1. Posterior Probability of the True Model; 2. Posterior Probability Ratio of True Model/Best among the Other Models
3. Probability of Retrieving the True Model4. Model Recovery: Medians and Variances of Posterior Inclusi; 5. Model Recovery: Medians and Variances of Estimated Paramet; 6. Posterior Probability of the True Model (Non-Gaussian Case); 7. Posterior Probability Ratio: True Model/best among the Other Models (Non-Gaussian Case); 8. Probability of Retrieving the True Model (Non-Gaussian Case); 9. Model Recovery: Medians and Variances of Posterior Inclusion Probability for Each Variable (Non-Gaussian Case); 10. Model Recovery: Medians and Variances of Estimated Parameter Values (Non- Gaussian Case) Appendix A Figures1. Posterior Densities for the Probabilities in Table 1; 2. Posterior Densities for the Probabilities in Table 2; 3. Box Plots for Parameters in Table 5; 4. Posterior Densities for the Probabilities in Table 6; 5. Posterior Densities for the Probabilities in Table 7; 6. Box Plots for Parameters in Table 10 |
| Record Nr. | UNINA-9910788337703321 |
|
Mirestean Alin
|
||
| Washington, D.C. : , : International Monetary Fund, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Limited Information Bayesian Model Averaging for Dynamic Panels with Short Time Periods / / Alin Mirestean, Charalambos Tsangarides, Huigang Chen
| Limited Information Bayesian Model Averaging for Dynamic Panels with Short Time Periods / / Alin Mirestean, Charalambos Tsangarides, Huigang Chen |
| Autore | Mirestean Alin |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Washington, D.C. : , : International Monetary Fund, , 2009 |
| Descrizione fisica | 1 online resource (45 p.) |
| Disciplina | 332.152 |
| Altri autori (Persone) |
ChenHuigang
TsangaridesCharalambos |
| Collana | IMF Working Papers |
| Soggetto topico |
Panel analysis
Bayesian statistical decision theory Bayesian Analysis: General Bayesian inference Bayesian models Computer Programs: General Data capture & analysis Data Collection and Data Estimation Methodology Data Processing Data processing Econometric models Econometrics & economic statistics Econometrics Electronic data processing Estimation techniques Estimation |
| ISBN |
1-4623-7192-2
1-4527-1274-3 9786612842955 1-4518-7221-6 1-282-84295-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; I. Introduction; II. Model Uncertainty in the Bayesian Context; A. Model Selection and Hypothesis Testing; B. Bayesian Model Averaging; C. Choice of Priors; III. Limited Information Bayesian Model Averaging; A. A Dynamic Panel Data Model with Endogenous Regressors; B. Estimation and Moment Conditions; C. The Limited Information Criterion; IV. Monte Carlo Simualtions and Results; A. The Data Generating Process; B. Simulation Results; V. Conclusion; References; Tables; 1. Posterior Probability of the True Model; 2. Posterior Probability Ratio of True Model/Best among the Other Models
3. Probability of Retrieving the True Model4. Model Recovery: Medians and Variances of Posterior Inclusi; 5. Model Recovery: Medians and Variances of Estimated Paramet; 6. Posterior Probability of the True Model (Non-Gaussian Case); 7. Posterior Probability Ratio: True Model/best among the Other Models (Non-Gaussian Case); 8. Probability of Retrieving the True Model (Non-Gaussian Case); 9. Model Recovery: Medians and Variances of Posterior Inclusion Probability for Each Variable (Non-Gaussian Case); 10. Model Recovery: Medians and Variances of Estimated Parameter Values (Non- Gaussian Case) Appendix A Figures1. Posterior Densities for the Probabilities in Table 1; 2. Posterior Densities for the Probabilities in Table 2; 3. Box Plots for Parameters in Table 5; 4. Posterior Densities for the Probabilities in Table 6; 5. Posterior Densities for the Probabilities in Table 7; 6. Box Plots for Parameters in Table 10 |
| Record Nr. | UNINA-9910812320003321 |
|
Mirestean Alin
|
||
| Washington, D.C. : , : International Monetary Fund, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
