
Political scientists frequently employ expert surveys to uncover the intrinsic traits of political entities. However, experts often disagree due to varying levels of information and analytical capability.
This article addresses how to effectively handle this uncertainty:
The authors analyze prominent expert survey data from the literature focusing on party politics and European Union integration. This real-world application highlights practical consequences of different aggregation approaches.
Using simulation, we show that:
These methods produce more accurate aggregated estimates despite expert disagreement.

| When Experts Disagree: Response Aggregation and Its Consequences in Expert Surveys was authored by René Lindstädt, Sven-Oliver Proksch and Jonathan B. Slapin. It was published by Cambridge in PSR&M in 2020. |