New research challenges previous studies on citation gender gaps. The article demonstrates how different statistical specifications affect observed results regarding women's citations in international relations.
Using Poisson Inverse Gaussian regression, the analysis shows that:
- Citation patterns depend heavily on model choice
- Findings range from null effects to showing women cited more frequently
This highlights the importance of substantive methodological decisions for drawing correct conclusions.
