Stochastic Consistent Expectations Equilibria
AbstractRecently the notion of consistent expectations equilibria (CEE) was introduced in a non-linear deterministic framework with expectational feedback. Along a CEE the sample mean and sample autocorrelations of realizations of the non-linear system coincide with the mean and autocorrelations corresponding to the linear forecasting rules agents are using. Along a CEE expectations are thus self-fulfilling in a linear statistical sense. In this paper the CEE concept is generalized to a non-linear stochastic framework. A stochastic CEE occurs when the non-linear stochastic system has an invariant measure with mean and (auto)co-variances that coincide with the mean and (auto)co-variances of the linear stochastic process agents believe in. Steady state, 2-cycle as well as chaotic stochastic CEE will be discussed. Convergence of OLS and sample autocorrelation learning to these different CEE will also be discussed. Applications to the cobweb and the OLG model will be given.
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Bibliographic InfoPaper provided by Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance in its series CeNDEF Workshop Papers, January 2001 with number PO1.
Date of creation: 04 Jan 2001
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Postal: Dept. of Economics and Econometrics, Universiteit van Amsterdam, Roetersstraat 11, NL - 1018 WB Amsterdam, The Netherlands
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- Potzelberger, Klaus & Sogner, Leopold, 2003. "Stochastic equilibrium: learning by exponential smoothing," Journal of Economic Dynamics and Control, Elsevier, vol. 27(10), pages 1743-1770, August.
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