Testing for the effects of omitted power transformations

C-Tier
Journal: Economics Letters
Year: 2012
Volume: 117
Issue: 1
Pages: 287-290

Score contribution per author:

0.505 = (α=2.02 / 2 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We use the quasi-likelihood ratio statistic to test the hypothesis that a power transformation is ineffective. The null is not standard because a parameter is unidentified, and we can also let the power coefficient be zero for the null.

Technical Details

RePEc Handle
repec:eee:ecolet:v:117:y:2012:i:1:p:287-290
Journal Field
General
Author Count
2
Added to Database
2026-01-25