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DETECTION AND MODELING OF REGRESSION PARAMETER VARIATION ACROSS FREQUENCIES

WITH AN APPLICATION TO TESTING THE PERMANENT INCOME HYPOTHESIS

Published online by Cambridge University Press:  01 March 1999

Hui Boon Tan
Affiliation:
Universiti Putra Malaysia
Richard Ashley
Affiliation:
Virginia Polytechnic Institute and State University
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Abstract

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A simple technique for directly testing the parameters of a time-series regression model for instability across frequencies is presented. The method can be implemented easily in the time domain, so that parameter instability across frequency bands can be conveniently detected and modeled in conjunction with other econometric features of the problem athand, such as simultaneity, cointegration, missing observations, andcross-equation restrictions. The usefulness of the newtechnique is illustrated with an application to a cointegratedconsumption-income regression model, yielding a straightforwardtest of the permanent income hypothesis.

Information

Type
Research Article
Copyright
© 1999 Cambridge University Press