The issues involved in assessing the relative performance of forward-looking (rational expectations) models and backward-looking error correction models based on the general-to-specific methodology are examined. Using the demand for M1 in the United Kingdom as a specific example, the authors find that both the error correction model and the forward model perform adequately, although a version of the error correction model does encompass the forward model in a nonnested test. The authors discuss reasons why the discrimination between the two models may prove difficult in practical situations using finite data sets. Copyright 1992 by Blackwell Publishers Ltd and The Victoria University of Mancheste
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Most rational expectations models involve equations in which the dependent variable is a function of...
Expectations play an important role in economics. Traditionally two major branches of expectation th...
Most rational expectations models involve equations in which the dependent variable is a function of...
Under general conditions, linear decision rules of agents with rational expectations are equivalent ...
We set out an algorithm, based on a guided grid search procedure, for estimating large rational expe...
A recent paper by Baba, Hendry, and Starr presents an error-correction model of the demand for M1 in...
This paper derives a model of the stocks plan based on optimal behavior by the firm when facing adju...
The validity of the rational expectations hypothesis is explored using 12 years direct individual ex...
This paper uses imperfect competition as a basis for modelling the export price for an aggregated co...
The paper shows that due to the features of SKU (stock-keeping unit) demand data wellknown error mea...
We analyze the ability of recent methods proposed for the specification and estimation of relationsh...
This thesis is concerned with the single-equation errors-in-variables estimation of rational expecta...
Evaluating appropriate error measures to determine demand forecast accuracy is essential in model se...
Error correction models impose few prior restrictions on dynamic model specification and allow the d...
Successful demand planning relies on accurate demand forecasts. Existing demand planning software ty...
Most rational expectations models involve equations in which the dependent variable is a function of...
Expectations play an important role in economics. Traditionally two major branches of expectation th...
Most rational expectations models involve equations in which the dependent variable is a function of...
Under general conditions, linear decision rules of agents with rational expectations are equivalent ...
We set out an algorithm, based on a guided grid search procedure, for estimating large rational expe...