Bureaucratic Quality and Electoral Accountability

Author:

SLOUGH TARAORCID

Abstract

In many theories of electoral accountability, voters learn about an incumbent’s quality by observing public goods outcomes. But empirical findings are mixed, suggesting that increasing the visibility of these outcomes only sometimes improves accountability. I reconcile these heterogeneous findings by highlighting bureaucrats’ role in the production of public goods. In a simple model of electoral accountability involving a voter, a politician, and a bureaucrat, I show that accountability relationships yield distinct empirical implications at different levels of bureaucratic quality. To illustrate how this model rationalizes otherwise mixed or heterogeneous results, I develop a new research design—a theoretically structured meta-study—to synthesize existing findings. Meta-study evidence on the accountability of Brazilian mayors suggests that a common model of electoral accountability that allows for variation in bureaucratic quality predicts observed heterogeneity in politician and voter behavior and beliefs across multiple studies with distinct samples, treatments, and outcomes.

Publisher

Cambridge University Press (CUP)

Subject

Political Science and International Relations,Sociology and Political Science

Reference56 articles.

1. Bureaucracy, Infrastructure, and Economic Growth: Evidence from U.S. Cities during the Progressive Era;Rauch;American Economic Review,1995

2. External Validity and Meta-Analysis;Slough;American Journal of Political Science,2023

3. Priors Rule: When Do Malfeasance Revelations Help or Hurt Incumbent Parties?;Arias;Journal of the European Economic Association,2022

4. Quality-Based Explanations of Incumbency Effects;Eggers;Journal of Politics,2017

5. Slough, Tara . 2024. “Replication Data for: Bureaucratic Quality and Electoral Accountability.” Harvard Dataverse. Dataset. https://doi.org/10.7910/DVN/KKEVEA.

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