1990
DOI: 10.1002/jae.3950050406
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Full information estimation and stochastic simulation of models with rational expectations

Abstract: SUMMARYA computationally feasible method for the full information maximum-likelihood estimation of models with rational expectations is described in this paper. The stochastic simulation of such models is also described. The methods discussed in this paper should open the way for many more tests of the rational expectations hypothesis within macroeconomic models.

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Cited by 26 publications
(4 citation statements)
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“…The model is solved using the Extended Path method for non-linear equations (Fair and Taylor, 1993, 1990). The default setting is that agents in the model have rational expectations in that their expectations are consistent with model predictions.…”
Section: Prices Trade and Equilibriummentioning
confidence: 99%
“…The model is solved using the Extended Path method for non-linear equations (Fair and Taylor, 1993, 1990). The default setting is that agents in the model have rational expectations in that their expectations are consistent with model predictions.…”
Section: Prices Trade and Equilibriummentioning
confidence: 99%
“…The extra work for RE models is solving for a given value of α the expectations for each of the T viewpoint dates. Various tricks to lessen computational time are discussed in Fair and Taylor (1990). FIML estimates have the advantage of incorporating all the nonlinear restrictions on the reduced form coefficients.…”
Section: Estimationmentioning
confidence: 99%
“…This model can also be estimated by the method in Fair and Taylor (1990) (FT). Although the FT method is more computational intensive for linear models than are linear techniques, it can handle nonlinear models and thus may be useful in future research.…”
Section: Article In Pressmentioning
confidence: 99%