Tests for bounded rationality with a linear dynamic model distorted by heterogeneous expectations
Article Abstract:
A methodology for detecting the existence of boundedly rational agents is presented. This methodology, which generalizes rational expectations models by nesting two kinds of expectations, is developed using optimal control theory. Consequently, its likelihood function is built with Kalman filtering using the solution to the model. The application of this methodology in the analysis of the US cattle market in the period 1900-1990 is discussed. The empirical results of the test show that some fraction of economic agents in the market are boundedly rational.
Publication Name: Journal of Economic Dynamics & Control
Subject: Economics
ISSN: 0165-1889
Year: 1999
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Limited-dependent rational expectations models with future expectations
Article Abstract:
Limited-dependent rational expectations models with future expectations of the dependent variable are examined. The dependent variable may come in the form of government interventions or institutional arrangements. Computation by backward recursion is shown to be the model's solution when the forcing variables are serially independent. An approximate solution method is used for serially correlated forcing variables. Properties of the approximate solutions are discussed. The results of a few Monte Carlo experiments are reported.
Publication Name: Journal of Economic Dynamics & Control
Subject: Economics
ISSN: 0165-1889
Year: 1995
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Adaptive learning of rational expectations using neural networks
Article Abstract:
The use of neural networks in modeling adaptive learning of rational expectations is examined.
Publication Name: Journal of Economic Dynamics & Control
Subject: Economics
ISSN: 0165-1889
Year: 2000
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