A Monte Carlo Analysis of the VAR-Based Indirect Inference Estimation of DSGE Models
In this paper we study estimation of DSGE models. More specifically, in the indirect inference framework, we analyze how critical is the choice of the reduced form model for estimation purposes. As it turns out, simple VAR parameters performs better than commonly used impulse response functions. This can be attributed to the fact that IRF worsen identification issues for models that are already plagued by that phenomenon.
|Date of creation:||2011|
|Contact details of provider:|| Postal: Boulevard du Rectorat, 7, Batiment 31, boite 39, 4000 Liege|
Phone: + 32 (0) 4 366 31 08
Fax: + 32 (0) 4 366 31 06
Web page: http://www2.ulg.ac.be/crepp/
More information through EDIRC
References listed on IDEAS
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.:
- Francisco J. Ruge-Murcia, 2004.
"Methods to Estimate Dynamic Stochastic General Equilibrium Models,"
2004 Meeting Papers
83, Society for Economic Dynamics.
- Ruge-Murcia, Francisco J., 2007. "Methods to estimate dynamic stochastic general equilibrium models," Journal of Economic Dynamics and Control, Elsevier, vol. 31(8), pages 2599-2636, August.
- RUGE-MURCIA, Francisco J., 2003. "Methods to Estimate Dynamic Stochastic General Equilibrium Models," Cahiers de recherche 17-2003, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- RUGE-MURCIA, Francisco J., 2003. "Methods to Estimate Dynamic Stochastic General Equilibrium Models," Cahiers de recherche 2003-23, Universite de Montreal, Departement de sciences economiques.
- Ruge-Murcia, Francisco J., 2002. "Methods to Estimate Dynamic Stochastic General Equilibrium Models," University of California at San Diego, Economics Working Paper Series qt4fc8x822, Department of Economics, UC San Diego.
When requesting a correction, please mention this item's handle: RePEc:rpp:wpaper:1104. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mathieu Lefebvre)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.