Opening the Black Box: Structural Factor Models with Large Cross-Sections
Mario Forni (),
Domenico Giannone (),
Marco Lippi () and
Lucrezia Reichlin ()
Center for Economic Research (RECent) from University of Modena and Reggio E., Dept. of Economics "Marco Biagi"
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 stimators 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.
Keywords: Dynamic Factor Models; Structural VARs; Identification; Fundamentalness (search for similar items in EconPapers)
JEL-codes: E0 C1 (search for similar items in EconPapers)
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Journal Article: OPENING THE BLACK BOX: STRUCTURAL FACTOR MODELS WITH LARGE CROSS SECTIONS (2009)
Working Paper: Opening the Black Box: Structural Factor Models with Large Cross-Sections (2008)
Working Paper: Opening the black box: structural factor models with large cross-sections (2007)
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Persistent link: https://EconPapers.repec.org/RePEc:mod:recent:008
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