Warning, Learning and Compliance: Evidence from Micro-data on Driving Behavior
AbstractIn many contexts, warning systems of law enforcement are used to let uninformed individuals learn what is illegal, while sanctions are applied only after a number of repeated violations. Surprisingly no em- pirical evidence is available so far, over the learning impact of warnings. This paper is a first attempt to empirically investigate the warning’s effect on individuals’ behavior employing a unique database on a traffic law enforcement system, which constitutes an extraordinary nat- ural laboratory to test whether experience warning induces learning. Specifically, we use six-year longitudinal data on about 50000 drivers under the Italian point-record system of traffic law. Our statistical re- sults show that warned drivers become more compliant. To the extent individuals learn through their repeated behavior, a warning system makes it possible to apply sanctions only to (presumably) informed violators.
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Bibliographic InfoPaper provided by Department of Economics, University of Siena in its series Department of Economics University of Siena with number 639.
Date of creation: May 2012
Date of revision:
warning; law enforcement; mixture models;
Find related papers by JEL classification:
- K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-07-01 (All new papers)
- NEP-LAW-2012-07-01 (Law & Economics)
- NEP-TRE-2012-07-01 (Transport Economics)
- NEP-URE-2012-07-01 (Urban & Real Estate Economics)
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