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(will be reviewed).

Federal Performance Data: A Counterproductive Tool for Local School Elections?

Fed governments now use empirical measures to push policy goals down to local areas—what we call performance federalism. We argue this approach distorts democratic accountability in lower-level elections.

Study Context:

This research analyzes voter behavior during school tax referenda in the U.S., where a state provided a widely publicized indicator of district performance.

We show voters cannot reliably infer educational quality from these indicators, leading to unintended consequences. A federal signal indicating poor district outcomes actually increases failure rates for needed tax levies—a surprisingly robust effect that hits hardest in poorer communities.

Findings:

  • Voter decisions appear influenced by misleading federal information • Poorer districts face significantly higher levy failure risks with negative signals • The effect holds across multiple identification strategies and mechanism tests • This indicates voters may lack the tools to properly evaluate performance data

These results suggest policy interventions using external metrics risk undermining local democratic decision-making processes.

American Journal of Political Science
Performance Federalism and Local Democracy: Theory and Evidence from School Tax Referenda was authored by Vladimir Kogan, Stéphane Lavertu and Zachary Peskowitz. It was published in AJPS in 2016. Find on Google Scholar10.1111/ajps.12184
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