imprint:
Cambridge, Mass: National Bureau of Economic Research, June 2010
Published in:NBER working paper series ; no. w16074
Extent:
1 Online-Ressource
Language:
English
DOI:
10.3386/w16074
Identifier:
Reproduction note:
Hardcopy version available to institutional subscribers
Origination:
Footnote:
Mode of access: World Wide Web
System requirements: Adobe [Acrobat] Reader required for PDF files
Description:
Monetary DSGE models are widely used because they fit the data well and they can be used to address important monetary policy questions. We provide a selective review of these developments. Policy analysis with DSGE models requires using data to assign numerical values to model parameters. The chapter describes and implements Bayesian moment matching and impulse response matching procedures for this purpose