Arbeitspapier
Social norms or enforcement? A natural field experiment to improve traffic and parking fine compliance
Very little is known about the efficient collection of fines despite their indispensable contribution to local government budgets. This paper fills an important gap in the literature by studying the effectiveness of deterrence (enforcement) and non-deterrence (social norms) letters that aim to improve the collection of traffic and parking fines. We discuss potential mechanisms through which these letters may affect fine compliance and present results from a natural field experiment that was implemented in collaboration with the government of the Australian Capital Territory (ACT). We find that both letters increase fine payments significantly relative to a control group that did not receive a letter. The effect of the enforcement letter is stronger than that of the social norms letter. Our analysis of heterogenous treatment effects indicates that addressing social norms does not change the behavior of young offenders, those who committed a speeding offence, those with a long outstanding debt and those with a debt above the median. In contrast, the enforcement letter is generally effective across subgroups.
- ISBN
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978-3-96973-041-6
- Language
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Englisch
- Bibliographic citation
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Series: Ruhr Economic Papers ; No. 900
- Classification
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Wirtschaft
Tax Evasion and Avoidance
Illegal Behavior and the Enforcement of Law
Field Experiments
- Subject
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Fine compliance
natural field experiment
nudges
enforcement
social norms
- Event
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Geistige Schöpfung
- (who)
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Sinning, Mathias
Zhang, Yinjunjie
- Event
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Veröffentlichung
- (who)
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RWI - Leibniz-Institut für Wirtschaftsforschung
- (where)
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Essen
- (when)
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2021
- DOI
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doi:10.4419/96973041
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Sinning, Mathias
- Zhang, Yinjunjie
- RWI - Leibniz-Institut für Wirtschaftsforschung
Time of origin
- 2021