Shurojit Chatterji () (Centro de Investigacion Economica (CIE), Instituto Tecnologico Autonomo de Mexico (ITAM)) Subir Chattopadhyay (Universidad de Alicante, El Colegio de Mexico)
Additional information is available for the following
registered author(s):
Consider a one step forward looking self-referential model with a one dimensional state variable where the information set available to agents when they make their forecast for the next period includes the current realization of an extrinsic random process but does not include the current value of the state variable. Agents thus iterate twice on their beliefs about the law of motion of the system to generate their forecasts; this is as in models of learning and in contrast to the specification considered in the literature on sunspot equilibria where the extrinsic random process is the state variable. This paper demonstrates (and characterizes the conditions for) the existence of self-fulfilling stochastic equilibria with bounded fluctuations driven purely by extrinsic beliefs for the model described above; furthermore, the existence of these equilibria is shown to be independent of the determinacy properties of the perfect foresight dynamics of the model. (Traditional sunspot equilibria appear as a special case of the formulation of the paper). The paper indicates that the problem of multiplicity of rational expectations equilibria in these models is more severe than believed erstwhile.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Publisher Info
Paper provided by Centro de Investigacion Economica, ITAM in its series Working Papers with number
0201.
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.: