Quasi-Bayesian Model Selection
AbstractIn this paper we establish the consistency of the model selection criterion based on the quasi-marginal likelihood obtained from Laplace-type estimators (LTE). We consider cases in which parameters are strongly identified, weakly identified and partially identified. Our Monte Carlo results confirm our consistency results. Our proposed procedure is applied to select among monetary macroeconomic models using US data.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Southern Methodist University, Department of Economics in its series Departmental Working Papers with number 1402.
Date of creation: Feb 2014
Date of revision:
Contact details of provider:
Postal: Department of Economics, P.O. Box 750496, Southern Methodist University, Dallas, TX 75275-0496
Web page: http://www.smu.edu/economics
Consistent Model Selection; Laplace-Type Estimators; Marginal Likelihood.;
Find related papers by JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
This paper has been announced in the following NEP Reports:
- NEP-ALL-2014-03-08 (All new papers)
- NEP-ECM-2014-03-08 (Econometrics)
- NEP-ORE-2014-03-08 (Operations Research)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Marco Del Negro & Frank Schorfheide, 2004.
"Priors from General Equilibrium Models for VARS,"
International Economic Review,
Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(2), pages 643-673, 05.
- Inoue, Atsushi & Kilian, Lutz, 2006.
"On the selection of forecasting models,"
Journal of Econometrics,
Elsevier, vol. 130(2), pages 273-306, February.
- Nason, James M & Cogley, Timothy, 1994. "Testing the Implications of Long-Run Neutrality for Monetary Business Cycle Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 9(S), pages S37-70, Suppl. De.
- Hyungsik Roger Moon & Frank Schorfheide, 2009.
"Bayesian and Frequentist Inference in Partially Identified Models,"
NBER Working Papers
14882, National Bureau of Economic Research, Inc.
- Hyungsik Roger Moon & Frank Schorfheide, 2012. "Bayesian and Frequentist Inference in Partially Identified Models," Econometrica, Econometric Society, vol. 80(2), pages 755-782, 03.
- White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January.
- Blanchard, Olivier Jean & Quah, Danny, 1989.
"The Dynamic Effects of Aggregate Demand and Supply Disturbances,"
American Economic Review,
American Economic Association, vol. 79(4), pages 655-73, September.
- Olivier Jean Blanchard & Danny Quah, 1988. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," NBER Working Papers 2737, National Bureau of Economic Research, Inc.
- Tom Doan, . "RATS programs to replicate Blanchard and Quah AER 1989," Statistical Software Components RTZ00017, Boston College Department of Economics.
- Olivier Jean Blanchard & Danny Quah, 1988. "The Dynamic Effects of Aggregate Demand and Supply Disturbance," Working papers 497, Massachusetts Institute of Technology (MIT), Department of Economics.
- Tom Doan, . "BQDODRAWS: RATS procedure to implement Monte Carlo draws from a VAR with Blanchard-Quah factorization," Statistical Software Components RTS00030, Boston College Department of Economics.
- Sin, Chor-Yiu & White, Halbert, 1996. "Information criteria for selecting possibly misspecified parametric models," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 207-225.
- Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-33, March.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Bo Chen).
If references are entirely missing, you can add them using this form.