The Statistical Implications of Common Identifying Restrictions for DSGE Models
Download full text from publisher
References listed on IDEAS
- Martin Andreasen, 2010.
"How to Maximize the Likelihood Function for a DSGE Model,"
Springer;Society for Computational Economics, vol. 35(2), pages 127-154, February.
- Martin Møller Andreasen, 2008. "How to Maximize the Likelihood Function for a DSGE Model," CREATES Research Papers 2008-32, Department of Economics and Business Economics, Aarhus University.
- repec:wly:quante:v:9:y:2018:i:3:p:1243-1263 is not listed on IDEAS
- Ríos-Rull, José-Víctor & Schorfheide, Frank & Fuentes-Albero, Cristina & Kryshko, Maxym & Santaeulàlia-Llopis, Raül, 2012. "Methods versus substance: Measuring the effects of technology shocks," Journal of Monetary Economics, Elsevier, vol. 59(8), pages 826-846.
- Abadir,Karim M. & Magnus,Jan R., 2005. "Matrix Algebra," Cambridge Books, Cambridge University Press, number 9780521537469, December.
- Ireland, Peter N., 2004.
"A method for taking models to the data,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 28(6), pages 1205-1226, March.
- Peter Ireland, 1999. "A Method for Taking Models to the Data," Computing in Economics and Finance 1999 1233, Society for Computational Economics.
- Peter N. Ireland, 1999. "A Method for Taking Models to the Data," Boston College Working Papers in Economics 421, Boston College Department of Economics.
- Peter N. Ireland, 1999. "A method for taking models to the data," Working Papers (Old Series) 9903, Federal Reserve Bank of Cleveland.
- Peter Ireland, 1999. "Matlab code for A Method for Taking Models to the Data," QM&RBC Codes 46, Quantitative Macroeconomics & Real Business Cycles.
- Andrzej Kocięcki & Marcin Kolasa, 2018. "Global identification of linearized DSGE models," Quantitative Economics, Econometric Society, vol. 9(3), pages 1243-1263, November.
- James D. Hamilton & Daniel F. Waggoner & Tao Zha, 2007. "Normalization in Econometrics," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 221-252.
- Zhongjun Qu & Denis Tkachenko, 2012. "Identification and frequency domain quasi‐maximum likelihood estimation of linearized dynamic stochastic general equilibrium models," Quantitative Economics, Econometric Society, vol. 3(1), pages 95-132, March.
- repec:cup:cbooks:9780521822893 is not listed on IDEAS
- Raffaella Giacomini, 2013. "The relationship between DSGE and VAR models," CeMMAP working papers CWP21/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
Blog mentionsAs found by EconAcademics.org, the blog aggregator for Economics research:
- The Statistical Implications of Common Identifying Restrictions for DSGE Models
by Christian Zimmermann in NEP-DGE blog on 2015-02-05 22:29:18
More about this item
NEP fieldsThis paper has been announced in the following NEP Reports:
StatisticsAccess and download statistics
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:red:sed014:738. 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: (Christian Zimmermann). General contact details of provider: http://edirc.repec.org/data/sedddea.html .
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 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 RePEc Author Service 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.