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A Simple Specification Test for the Predictive Ability of Transformation Models

Jeffrey M. Wooldridge
The Review of Economics and Statistics
Vol. 76, No. 1 (Feb., 1994), pp. 59-65
Published by: The MIT Press
DOI: 10.2307/2109826
Stable URL: http://www.jstor.org/stable/2109826
Page Count: 7
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
A Simple Specification Test for the Predictive Ability of Transformation Models
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Abstract

A specification test is proposed to test the adequacy of the implicit conditional mean specification in a transformation model. Regardless of the transformation under the null, the statistic is computable from OLS output via auxiliary OLS regressions. Further, the test presumes no particular form for the conditional variance of the transformed and untransformed regressands. A simple goodness-of-fit measure that can be used to compare across transformations is a natural byproduct of the analysis. An application to a well-known fisheries data set is included.

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