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SHORT TECHNICAL NOTE

Model Selection and Regression t-Statistics

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Pages 379-381 | Received 03 Jul 2017, Accepted 21 Mar 2018, Published online: 09 Jul 2018
 

ABSTRACT

It is shown that dropping quantitative variables from a linear regression, based on t-statistics, is mathematically equivalent to dropping variables based on commonly used information criteria.

Acknowledgment

The author thanks Tamara Greasby; our work on her honors thesis at University of Puget Sound explored similar ideas.

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