Bayesian estimation of DSGE models with Hamiltonian Monte Carlo
- In this paper we adapt the Hamiltonian Monte Carlo (HMC) estimator to DSGE models, a method presently used in various fields due to its superior sampling and diagnostic properties. We implement it into a state-of-theart, freely available high-performance software package, STAN. We estimate a small scale textbook New-Keynesian model and the Smets-Wouters model using US data. Our results and sampling diagnostics confirm the parameter estimates available in existing literature. In addition, we find bimodality in the Smets-Wouters model even if we estimate the model using the original tight priors. Finally, we combine the HMC framework with the Sequential Monte Carlo (SMC) algorithm to create a powerful tool which permits the estimation of DSGE models with ill-behaved posterior densities.
Author: | Mátyás Farkas, Balint Tatar |
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URN: | urn:nbn:de:hebis:30:3-554818 |
URL: | https://www.imfs-frankfurt.de/fileadmin/user_upload/IMFS_WP/IMFS_WP_144.pdf |
Parent Title (English): | Working paper series / Institute for Monetary and Financial Stability ; 144 [Version October 22, 2020] |
Series (Serial Number): | Working paper series / Institute for Monetary and Financial Stability (144 [v. 22 10.2020]) |
Publisher: | Johann Wolfgang Goethe-Univ., Inst. for Monetary and Financial Stability |
Place of publication: | Frankfurt am Main |
Document Type: | Working Paper |
Language: | English |
Year of Completion: | 2020 |
Date of first Publication: | 2020/10/22 |
Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
Release Date: | 2020/10/26 |
Tag: | Bayesian Analysis; DSGE Estimation; Hamiltonian Monte Carlo |
Page Number: | 75 |
Note: | Eine ältere Version ist zu finden unter http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hebis:30:3-554705 |
HeBIS-PPN: | 471427624 |
Institutes: | Wirtschaftswissenschaften / Wirtschaftswissenschaften |
Wissenschaftliche Zentren und koordinierte Programme / Institute for Monetary and Financial Stability (IMFS) | |
Wissenschaftliche Zentren und koordinierte Programme / Sustainable Architecture for Finance in Europe (SAFE) | |
Dewey Decimal Classification: | 3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft |
JEL-Classification: | C Mathematical and Quantitative Methods / C1 Econometric and Statistical Methods: General / C11 Bayesian Analysis |
C Mathematical and Quantitative Methods / C1 Econometric and Statistical Methods: General / C15 Simulation Methods | |
Sammlungen: | Universitätspublikationen |
Licence (German): | ![]() |