Premium
FACTOR ANALYSIS OF A LARGE DSGE MODEL
Author(s) -
Onatski Alexei,
RugeMurcia Francisco
Publication year - 2012
Publication title -
journal of applied econometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.878
H-Index - 99
eISSN - 1099-1255
pISSN - 0883-7252
DOI - 10.1002/jae.2287
Subject(s) - dynamic stochastic general equilibrium , econometrics , dynamic factor , factor analysis , economics , factor (programming language) , computer science , principal component analysis , index (typography) , space (punctuation) , macroeconomics , monetary policy , artificial intelligence , world wide web , programming language , operating system
SUMMARY We study the workings of the factor analysis of high‐dimensional data using artificial series generated from a large, multi‐sector dynamic stochastic general equilibrium (DSGE) model. The objective is to use the DSGE model as a laboratory that allows us to shed some light on the practical benefits and limitations of using factor analysis techniques on economic data. We explain in what sense the artificial data can be thought of having a factor structure, study the theoretical properties of the principal components estimates of the factor space, investigate the substantive reason(s) for the good performance of diffusion index forecasts, and assess the quality of the factor analysis of highly disaggregated data. In all our exercises, we explain the precise relationship between the factors and the basic macroeconomic shocks postulated by the model. Copyright © 2012 John Wiley & Sons, Ltd.