This paper estimates a simple univariate model of expectation or opinion formation in continuous time adapting a ‘canonical’ stochastic model of collective opinion dynamics (Weidlich and Haag, 1983; Lux, 1995, 2007). This framework is applied to a selected data set on survey-based expectations from the rich EU business and consumer survey database for twelve European countries. The model parameters are estimated through maximum likelihood and numerical solution of the transient probability density functions for the resulting stochastic process. The model's performance is assessed with respect to its out-of-sample forecasting capacity relative to univariate time series models of the ARMA(p; q) and ARFIMA(p; d; q) varieties. These tests speak for a slight superiority of the canonical opinion dynamics model over the alternatives in the majority of cases
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Paper provided by Kiel Institute for the World Economy in its series Kiel Working Papers with number
1487.
Find related papers by JEL classification: E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications
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Lemmens, A. & Croux, C. & Dekimpe, M.G., 2004.
"On The Predictive Content Of Production Surveys: A Pan-European Study,"
Research Paper
ERS-2004-017-MKT Revision, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
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