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Rational Forecasts or Social Opinion Dynamics? Identification of Interaction Effects in a Business Climate Survey

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Author Info
Thomas Lux
Abstract

This paper develops a methodology for estimating the parameters of dynamic opinion or expectation formation processes with social interactions. We study a simple stochastic framework of a collective process of opinion formation by a group of agents who face a binary decision problem. The aggregate dynamics of the individuals' decisions can be analyzed via the stochastic process governing the ensemble average of choices. Numerical approximations to the transient density for this ensemble average allow the evaluation of the likelihood function on the base of discrete observations of the social dynamics. This approach can be used to estimate the parameters of the opinion formation process from aggregate data on its average realization. Our application to a well-known business climate index provides strong indication of social interaction as an important element in respondents' assessment of the business climate

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File URL: http://www.ifw-members.ifw-kiel.de/publications/rational-forecasts-or-social-opinion-dynamics-identification-of-interaction-effects-in-a-business-climate-survey/KWP_1424_Rational%20Forecasts.pdf
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Publisher Info
Paper provided by Kiel Institute for the World Economy in its series Kiel Working Papers with number 1424.

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Length: 40 pages
Date of creation: Jun 2008
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Handle: RePEc:kie:kieliw:1424

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Related research
Keywords: business climate; business cycle forecasts; opinion formation; social interactions;

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Find related papers by JEL classification:
C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation

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  12. Shiller, Robert J, 1981. "Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends?," American Economic Review, American Economic Association, vol. 71(3), pages 421-36, June. [Downloadable!] (restricted)
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  14. Alfarano, Simone & Lux, Thomas, 2007. "A Noise Trader Model As A Generator Of Apparent Financial Power Laws And Long Memory," Macroeconomic Dynamics, Cambridge University Press, vol. 11(S1), pages 80-101, November. [Downloadable!]
    Other versions:
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