The Devil is in the Geography: the Persistent Misuse of Geographic Regression Discontinuity Design (GRDD) in Political Science

Abstract 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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Publication Details

Journal
Chinese Political Science Review
Published
2026-03-13
DOI
https://doi.org/10.1007/s41111-026-00338-1
Primary Topic
Spatial and Panel Data Analysis
Type
article
Field-Weighted Citation Impact
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article

The Devil is in the Geography: the Persistent Misuse of Geographic Regression Discontinuity Design (GRDD) in Political Science

Dwayne Woods
Chinese Political Science Review
Spatial and Panel Data Analysis
article

The Devil is in the Geography: the Persistent Misuse of Geographic Regression Discontinuity Design (GRDD) in Political Science

Dwayne Woods
article en

Abstract

Abstract 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.

Chinese Political Science Review
Purdue University West Lafayette (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 27%
Spatial and Panel Data Analysis
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