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Evaluation reveals statistical methods may fail in GRDD by highlighting flaws in causal inference in political science.
Geographic Regression Discontinuity Designs (GRDDs) are used to estimate long-run historical effects, despite well-established results showing that RDD requires a discontinuous assignment rule rather than merely plausibly exogenous spatial variation. This article evaluates Henn et al.’s (Comparative Political Studies. 10.1177/00104140251369335, 2025) study in Comparative Political Studies, which treats Catholic diocesan boundaries as quasi-random cutoffs. Archival church records indicate that these boundaries were endogenous to colonial infrastructure, disease ecology, settler geography, and ecclesiastical administration. Spatial-econometric simulations demonstrate that standard GRDD specifications produce statistically significant effects in 64–71% of placebo tests when no true effect exists. The implication is methodological rather than case-specific: designs lacking discontinuous assignment can transform spatial noise into apparent causal effects.
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Dwayne Woods (2026) studied this question.
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