Estimating the extent and sources of model uncertainty in political science.

ABSTRACT: Assessing model uncertainty is crucial to quantitative political science. Yet, most available sensitivity analyses focus only on a few modeling choices, most notably the covariate space, while neglecting to jointly consider several equally important modeling choices simultaneously. In this article, we combine the exhaustive and systematic method of the Extreme Bounds Analysis with the more multidimensional logic underpinning the multiverse approach to develop an approach to sensitivity analyses. This allows us to systematically assess the degree and sources of model uncertainty across multiple dimensions, including the control set, fixed effect structures, SE types, sample selection, and dependent variable operationalization. We then apply this method to four prominent topics in political

SUBMITTER: Ganslmeier M 

PROVIDER: S-EPMC12207428 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature