The paper discusses different methods to deal with unobservable variables: Kalman-Filtering, principal components, factor analysis, LISREL, MIMIC, DYMIMIC, PLS with respect to parameter estimation and forecasting. We got very good results by an extension of Kalman-Filtering called AS (general stationary parameter model). LISREL proved to be superior to PLS in parameter estimation. Explicit introduction of the latent variables "mood" of the economic agents, the "political trend" and "social stability" improved the forecasting performance of an econometric model of the FRG.
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Paper provided by University of Bonn, Germany in its series Discussion Paper Serie B with number
414.
Length: pages Date of creation: Aug 1997 Date of revision: Handle: RePEc:bon:bonsfb:414
Contact details of provider: Postal: Bonn Graduate School of Economics, University of Bonn, Adenauerallee 24 - 26, 53113 Bonn, Germany Fax: +49 228 73 9221 Web page: http://www.bgse.uni-bonn.de/index.php?id=517
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