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The generalized factor model: representation
theory
Forni, M. and
Lippi, M.

Econometric Theory, 2001
Abstract
This paper, along with the companion paper Forni, Hallin,
Lippi and Reichlin (1999), introduces a new model - the generalized
dynamic factor model - for the empirical analysis of financial and
macroeconomic data sets characterized by a large number of observations
both cross-section and over time. This model provides a generalization of
the static approximate factor model of Chamberlain (1983) and Chamberlain
and Rothschild (1983) by allowing serial correlation within and across
individual processes, and of the dynamic factor model of Sargent and Sims
(1977) and Geweke (1977) by allowing for non-orthogonal idiosyncratic
terms. While the companion paper concentrates on identification and
estimation, here we give a full characterization of the generalized
dynamic factor model in terms of observable spectral density matrices,
thus laying a firm basis for empirical implementation of the model.
Moreover, the common factors are obtained as limits of linear combinations
of dynamic principal components. Thus the paper reconciles two seemingly
unrelated statistical constructions.
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