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Limited information Bayesian model averaging for dynamic panels with short time periods [[electronic resource] /] / prepared by Huigang Chen, Alin Mirestean, and Charalambos G. Tsangarides
| Limited information Bayesian model averaging for dynamic panels with short time periods [[electronic resource] /] / prepared by Huigang Chen, Alin Mirestean, and Charalambos G. Tsangarides |
| Autore | Chen Huigang |
| Pubbl/distr/stampa | [Washington D.C.], : International Monetary Fund, 2009 |
| Descrizione fisica | 1 online resource (45 p.) |
| Altri autori (Persone) |
MiresteanAlin
TsangaridesCharalambos G |
| Collana | IMF working paper |
| Soggetto topico |
Panel analysis
Bayesian statistical decision theory |
| Soggetto genere / forma | Electronic books. |
| 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-9910464070203321 |
Chen Huigang
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| [Washington D.C.], : International Monetary Fund, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Review and Implementation of Credit Risk Models of the Financial Sector Assessment Program (FSAP) / / Kexue Liu, Jean Salvati, Renzo Avesani, Alin Mirestean
| Review and Implementation of Credit Risk Models of the Financial Sector Assessment Program (FSAP) / / Kexue Liu, Jean Salvati, Renzo Avesani, Alin Mirestean |
| Autore | Liu Kexue |
| Pubbl/distr/stampa | Washington, D.C. : , : International Monetary Fund, , 2006 |
| Descrizione fisica | 1 online resource (35 p.) |
| Altri autori (Persone) |
SalvatiJean
AvesaniRenzo MiresteanAlin |
| Collana | IMF Working Papers |
| Soggetto topico |
Credit - Management - Mathematical models
Financial services industry - State supervision Banks and Banking Econometrics Money and Monetary Policy Portfolio Choice Investment Decisions Financial Institutions and Services: General Banks Depository Institutions Micro Finance Institutions Mortgages Mathematical Methods and Programming: General Computational Techniques Monetary Policy, Central Banking, and the Supply of Money and Credit: General Time-Series Models Dynamic Quantile Regressions Dynamic Treatment Effect Models Diffusion Processes Financing Policy Financial Risk and Risk Management Capital and Ownership Structure Value of Firms Goodwill Monetary economics Econometrics & economic statistics Financial services law & regulation Credit Vector autoregression Credit risk Financial risk management |
| ISBN |
1-4623-6191-9
1-4527-6528-6 1-283-51160-6 1-4519-0915-2 9786613824059 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""Contents""; ""I. INTRODUCTION""; ""II. THE BASIC MODEL SETTING""; ""III. MODEL 1: A SIMPLE MODEL WITH NON-RANDOM DEFAULT PROBABILITIES""; ""IV. INTRODUCING THE POISSON APPROXIMATION""; ""V. MODEL 2: THE MODEL WITH KNOWN PROBABILITIES REVISITED""; ""VI. MODEL 3: THE MODEL WITH RANDOM DEFAULT PROBABILITIES""; ""VII. THE LATENT FACTORS ASSUMPTION""; ""VIII. MODEL 4: EXTENSION OF CREDIT RISK+ WITH CORRELATED FACTORS""; ""IX. MODEL SUMMARY""; ""X. NUMERICAL IMPLEMENTATION""; ""XI. NUMERICAL EXAMPLES USING THE CREDIT RISK TOOLBOX""; ""XII. CONCLUSION""
""PROBABILITY AND MOMENT GENERATING FUNCTIONS""""References"" |
| Record Nr. | UNINA-9910788414803321 |
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Liu Kexue
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| Washington, D.C. : , : International Monetary Fund, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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