Partisan bias and performance improvement efforts in program administration: evidence from unemployment insurance programs in the American states

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Authors: George A Krause, Ji Wan Hong
Cited by: 0
References: 32

Abstract

Abstract One critical way that public agencies can improve administrative performance is through its discretionary efforts at detecting program errors. This requires an alignment between political and administrative objectives within executive branch governance. Specifically, we hypothesize that agency efforts for detecting benefit overpayment errors from state unemployment insurance (UI) programs will be higher under Republican partisan gubernatorial control of state UI agency heads compared to Democratic counterparts. Based on panel data consisting of 999 observations covering fifty state UI agencies between 2002 and 2021, our lognormal maximum likelihood estimates reveal a partisan differential between Republican and Democratic governors with direct appointment control over UIP agency heads are associated with a within-state average of $ 2.647 million higher correction of benefit overpayments to unemployed claimants (i.e., a per claimant overpayment case partisan differential of $ 618.68). State UIP agencies investments in performance improvement that identify program waste reflect the importance of partisan incentives, coupled with unity in executive branch governance.

Fields of Study & Subjects

Public Policy and Administration Research Public Administration and Governance Social Policy and Reform Studies

Publication details

Journal / source
Journal of Public Administration Research and Theory
Volume
36
Issue
2
Pages
267–280
Publication date
10 February 2026
Language
EN