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Econometrics: Alchemy or Science?Essays in Econometric Methodology$
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David F. Hendry

Print publication date: 2000

Print ISBN-13: 9780198293545

Published to Oxford Scholarship Online: November 2003

DOI: 10.1093/0198293542.001.0001

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Stochastic Specification in an Aggregate Demand Model of the United Kingdom

Stochastic Specification in an Aggregate Demand Model of the United Kingdom

Chapter:
(p.29) 2 Stochastic Specification in an Aggregate Demand Model of the United Kingdom
Source:
Econometrics: Alchemy or Science?
Author(s):

David F. Hendry (Contributor Webpage)

Publisher:
Oxford University Press
DOI:10.1093/0198293542.003.0003

Empirical modelling is analysed and illustrated for a small system of aggregate demand relationships in the UK, using estimators specifically developed to tackle the problems of autocorrelation and simultaneity. The tests discriminate between cases where (vector) residual autocorrelation arose from autoregressive errors, or from mis‐specification of the dynamics of the observed data series. Tests also check if the dynamics of the pre‐specified model were adequate, but these should not be used constructively: that a null hypothesis is false does not imply that the postulated alternative must be true. Thus, generalizing initial simple models after test rejections does not provide a valid modelling strategy, partly because a later rejection invalidates all earlier inferences, and to correctly interpret any of the empirical evidence, one must account for all results. The final estimates seek to do that for a range of earlier specifications.

Keywords:   aggregate demand, autocorrelation, dynamic mis‐specification, simple‐to‐general modelling, simultaneity, vector autoregressive errors

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