Lessons from five decades of experimental and behavioral research on accountability: A systematic literature review
DOI:
https://doi.org/10.30636/jbpa.22.66Keywords:
Accountability, Experiments, Systematic review, Decision-makingAbstract
The study of accountability in public administration has developed largely in parallel to the study of accountability in the behavioral sciences. In an effort to bridge this divide, we present a systematic review of the experimental literature on accountability in the behavioral sciences and draw lessons for public administration. We summarize the findings of 266 experiments exploring the effects of accountability mechanisms, presented in 211 articles published between 1970 and 2016. These findings are organized in four broad themes: effects of accountability on decision-making, behavior, and outcomes; and effects of the specific characteristics of accountability mechanisms. The review shows numerous desirable effects of accountability on individual decision-making and behaviors. This is of high relevance to public administration studies on accountability as it sheds light on causal mechanisms and allows for a balanced perspective on positive and negative effects of various types of accountability mechanisms. It is however not always possible to translate findings from behavioral research directly to public administration settings. We discuss the meaning and value of our findings for public administration studies and develop an agenda for future behavioral research on public sector accountability.
Additional Files
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Manuscripts accepted for publication in JBPA are licensed under a Creative Commons Attribution 4.0 License (CC-BY 4.0). It allows all uses of published manuscripts but requires attribution.
The CC-BY license applies also to data, code and experimental material, except when it conflicts with a prior copyright. Common courtesy requires informing authors of new uses of their data, as well as acknowledging the source.
