Testing hypotheses about interaction terms in nonlinear models

C-Tier
Journal: Economics Letters
Year: 2010
Volume: 107
Issue: 2
Pages: 291-296

Score contribution per author:

1.005 = (α=2.01 / 1 authors) × 0.5x C-tier

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

Abstract

We examine the interaction effect in nonlinear models discussed by Ai and Norton (2003). Tests about partial effects and interaction terms are not necessarily informative in the context of the model. We suggest ways to examine the effects that do not involve statistical testing.

Technical Details

RePEc Handle
repec:eee:ecolet:v:107:y:2010:i:2:p:291-296
Journal Field
General
Author Count
1
Added to Database
2026-01-25