Informational Equilibrium.

Abstract

Decision making over time in an uncertain environment has motivated much research, and given rise to different definitions of equilibria. Research on Temporary Equililbria concentrated on the consistency of agents when making forecasts, together with classical rational behavior under risk. Rational Expectation Equilibria were developed from the seminal paper of Muth until the model of Anderson-Sonnenschein provided an existence theorem: an equilibrium exists if agents make decisions which generate through equilibrium market price; the probability distribution they used in making their decisions. We call Informational Equilibrium an equilibrium of decisions and forecasts of agents in a dynamic process: agents use their forecasts to make their decisions and these decisions generate the system a future distribution which matches the forecasts. The structure of the model is quite general and is not specially related to a sequence of markets.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1982
Accession Number
ADA121804

Entities

People

  • Robert Kast

Organizations

  • Stanford University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Algebra
  • Bayesian Inference
  • Convergence
  • Data Science
  • Factor Analysis
  • Information Science
  • Law
  • Markov Chains
  • Markov Processes
  • Probability
  • Probability Distributions
  • Random Variables
  • Stationary Processes
  • Stochastic Processes
  • Theorems
  • Topology
  • Weak Convergence

Fields of Study

  • Economics

Readers

  • Atmospheric Science/Meteorology
  • Industrial Economics
  • Systems Analysis and Design