Factor Analysis in a New-Keynesian Model

Roger Farmer, Jerome Henry, Massimiliano Marcellino and Andreas Beyer ()

No 5266, CEPR Discussion Papers from C.E.P.R. Discussion Papers

Abstract: New-Keynesian models are characterized by the presence of expectations as explanatory variables. To use these models for policy evaluation, the econometrician must estimate the parameters of expectation terms. Standard estimation methods have several drawbacks, including possible lack of identification of the parameters, misspecification of the model due to omitted variables or parameter instability, and the common use of inefficient estimation methods. Several authors have raised concerns over the validity of commonly used instruments to achieve identification. In this paper we analyse the practical relevance of these problems and we propose remedies to weak identification based on recent developments in factor analysis for information extraction from large data sets. Using these techniques, we evaluate the robustness of recent findings on the importance of forward looking components in the equations of the New-Keynesian model.

Keywords: New-keynesian phillips curve; Forward-looking output equation; Taylor rule; Rational expectations; Factor analysis; Determinacy of equilibrium (search for similar items in EconPapers)
JEL-codes: E5 E52 E58 (search for similar items in EconPapers)
Date: 2005-10
New Economics Papers: this item is included in nep-ecm and nep-mac
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Citations: View citations in EconPapers (9)

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Working Paper: Factor analysis in a New-Keynesian model (2005)
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