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Insights from the Field

Gender Gap in Representation Explained by Incumbency Bias


incumbency bias
descriptive representation
European Parliament
logistic regression
European Politics
BJPS
1 other files
1 text files
Dataverse
Gender, Incumbency, and Party List Nominations was authored by Stephen A. Meserve, Daniel Pemstein and William T. Bernhard. It was published by Cambridge in BJPS in 2020.

This study explores how political parties select female candidates for parliamentary elections in proportional systems. It examines why some parties place women in viable list positions while others do not.

🔍 Candidate Selection

The research focuses on the role of incumbency and gender, analyzing these factors across diverse European party systems.

📊 Key Variables

* Incumbency status significantly impacts nomination chances for both men and women;

* Female gender remains a relevant factor but explains less candidate selection than expected;

* Party ideology also plays a role in selecting novice female candidates.

💡 Implications

The findings suggest that understanding descriptive representation requires focusing on incumbency bias as the primary driver, with other factors like party politics and broader societal trends accounting for variations.

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