EconPapers    
Economics at your fingertips  
 

Warning, Learning and Compliance: Evidence from Micro-data on Driving Behavior

Marcello Basili, Filippo Belloc, Simona Benedettini () and Antonio Nicita ()

Department of Economics University of Siena from Department of Economics, University of Siena

Abstract: In 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.

Keywords: warning; law enforcement; mixture models (search for similar items in EconPapers)
JEL-codes: C14 K42 (search for similar items in EconPapers)
Date: 2012-05
New Economics Papers: this item is included in nep-law, nep-tre and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://repec.deps.unisi.it/quaderni/639.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:usi:wpaper:639

Access Statistics for this paper

More papers in Department of Economics University of Siena from Department of Economics, University of Siena Contact information at EDIRC.
Bibliographic data for series maintained by Fabrizio Becatti ().

 
Page updated 2024-03-31
Handle: RePEc:usi:wpaper:639