Author:
Krelle, Wilhelm
Title: How to deal with unobservable variables in economics
Abstract: 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.
Keywords: parameter estimation, forecasting, Germany,
Schneeweiß
JEL-Classification-Number: C15, C32, C51, C52
Creation-Date: August 1997
URL: ../1997/b/bonnsfb414.pdf
17.02.1998, © Webmaster