Mapping the Political Contours of the Regulatory State: Dynamic Estimates of Agency Ideal Points

Alex Acs

American Political Science Review, 2026, vol. 120, issue 3, _12

Abstract: This article introduces a novel empirical method for estimating the ideological orientations of U.S. regulatory agencies across different presidential administrations. Employing a measurement model based on item response theory and analyzing data on planned regulations from the Unified Agenda and the president’s discretionary review of those regulations, as implemented by the Office of Information and Regulatory Affairs, the study provides dynamic estimates of agency ideal points from the Clinton through the Trump administrations. The model uses NOMINATE ideal points of presidents to link the estimated agency ideal points to legislative ideal points. The resulting estimates correlate positively with existing measures of agency ideology, highlight controversial regulators, and demonstrate that agency ideologies shift over time due to emerging issues that divide the parties. The study also finds that agencies located ideologically closer to the president are more productive, as evidenced by their regulatory output.

Date: 2026
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