
Why This Matters: Political scientists often compare policy preferences across elected actors, but non-majoritarian institutions—courts, independent agencies, and other unelected bodies—are harder to place on the same ideological or policy scales. Benjamin G. Engst, David M. Grundmanns, and Thomas Gschwend develop a new way to estimate where courts sit relative to executives, enabling direct comparison of judicial and governmental positions and a clearer view of interinstitutional conflict and cooperation.
The Core Idea: The authors propose a scaling approach that infers a court’s policy position for each decision by combining (a) the textual positions of political actors recorded in written statements tied to that decision and (b) the court’s actual decision outcome. This produces court scores that are directly comparable to scores for governments and other political actors without relying on individual justice votes or on assumptions that judges inherit nominees’ positions.
How It Works (Methods):
Applications and Validation:
What This Enables: These comparable scores let researchers study dynamics such as shifts in court positions over time, alignment or divergence between courts and executives, and how institutional interactions shape policy outcomes. The approach provides a practical tool for integrating non-majoritarian actors into spatial models of politics while preserving case-level variation in judicial behavior.
Where To Look Next: The paper demonstrates the method’s promise with two European examples and offers a framework that can be adapted to other courts or non-majoritarian institutions where written actor statements and case outcomes are available.

| How to place non-majoritarian institutions and political actors in a common policy space: Spatial modeling of court--executive interactions was authored by Benjamin G. Engst, David M. Grundmanns and Thomas Gschwend. It was published by Chicago in JOP in 2025. |