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Opening the Black Box: Structural Factor Models with Large Cross-Sections Author info | Abstract | Publisher info | Download info | Related research | Statistics Mario Forni
Domenico Giannone
Marco Lippi
Lucrezia Reichlin
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This paper shows how large-dimensional dynamic factor models are suitable for structural analysis. We argue that all identification schemes employed in SVAR analysis can be easily adapted in dynamic factor models. Moreover, the “problem of fundamentalness”, which is intractable in structural VARs, can be solved, provided that the impulse-response functions are sufficiently heterogeneous. We provide consistent estimators for the impulse-response functions, as well as (n, T) rates of convergence. An exercise with US macroeconomic data shows that our solution of the fundamentalness problem may have important empirical consequences.
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Paper provided by Université Libre de Bruxelles, Ecares in its series ECARES Working Papers with number
2008_036.
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Length: 40 pages
Date of creation: 2008Date of revision:
Handle: RePEc:eca:wpaper:2008_036Contact details of provider: Postal: Av. F.D., Roosevelt, 39, 1050 Bruxelles Phone: (32 2) 650 30 75 Fax: (32 2) 650 44 75 Web page: http://www.ecares.org/ More information through EDIRC
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Keywords: Dynamic factor models ; structural VARs ; identification ; fundamentalness ; Other versions of this item:
Article Forni, Mario & Giannone, Domenico & Lippi, Marco & Reichlin, Lucrezia, 2009.
"Opening The Black Box: Structural Factor Models With Large Cross Sections ,"
Econometric Theory ,
Cambridge University Press, vol. 25(05), pages 1319-1347, October.
[Downloadable!] Paper Find related papers by JEL classification: E0 - Macroeconomics and Monetary Economics - - General C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General
This paper has been announced in the following NEP Reports :
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