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Titlebook: Learning to Become Rational; The Case of Self-Ref Markus Zenner Book 1996 Springer-Verlag Berlin Heidelberg 1996 Stochastische Modelle.Theo

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书目名称Learning to Become Rational
副标题The Case of Self-Ref
编辑Markus Zenner
视频videohttp://file.papertrans.cn/583/582989/582989.mp4
丛书名称Lecture Notes in Economics and Mathematical Systems
图书封面Titlebook: Learning to Become Rational; The Case of Self-Ref Markus Zenner Book 1996 Springer-Verlag Berlin Heidelberg 1996 Stochastische Modelle.Theo
描述1. 1 Rational Expectations and Learning to Become Rational A characteristic feature of dynamic economic models is that, if future states of the economy are uncertain, the expectations of agents mat­ ter. Producers have to decide today which amount of a good they will produce not knowing what demand will be tomorrow. Consumers have to decide what they spend for consumption today not knowing what prices will prevail tomorrow. Adopting the neo-classical point of view that economic agents are ‘rational‘ in the sense that they behave in their own best interest given their expectations about future states of the ecomomy it is usually assumed that agents are Bayesian deci­ sion makers. But, as LUCAS points out, there remains an element of indeterminacy: Unfortunately, the general hypothesis that economic agents are Bayesian decision makers has, in many applications, lit­ tle empirical content: without some way of infering what an agent‘s subjective view of the future is, this hypothesis is of no help in understanding his behavior. Even psychotic behavior can be (and today, is) understood as "rational", given a sufficiently abnormal view of relevant probabili­ ties. To practice economics,
出版日期Book 1996
关键词Stochastische Modelle; Theorie der rationalen Erwartungen; bounded rationality; eingeschränkte Rational
版次1
doihttps://doi.org/10.1007/978-3-642-51876-8
isbn_softcover978-3-540-61279-7
isbn_ebook978-3-642-51876-8Series ISSN 0075-8442 Series E-ISSN 2196-9957
issn_series 0075-8442
copyrightSpringer-Verlag Berlin Heidelberg 1996
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978-3-540-61279-7Springer-Verlag Berlin Heidelberg 1996
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Multivariate Non-Stationary Models,In this chapter we continue the analysis of multivariate models. Since the static case with non-stationary (exogenous) variables is not covered by the studies of . (1989a,b), . (1990), . (1990), and . (1994) the results we obtain have, to our knowledge, no counterpart in the literature.
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Multivariate ARX Models, models and analyze whether agents, following an appropriate learning procedure, can eventually learn the parameters of a REE. Since our analysis is based on the reduced form equation we assume that these models are complete such that a transition to the reduced form is possible.
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Book 1996y are uncertain, the expectations of agents mat­ ter. Producers have to decide today which amount of a good they will produce not knowing what demand will be tomorrow. Consumers have to decide what they spend for consumption today not knowing what prices will prevail tomorrow. Adopting the neo-class
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Univariate AR(1) Models, for introducing our mathematical approach. Due to this simple structure the mathematical techniques employed in this chapter are easy to understand and do not obscure the fundamental properties and problems.
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