Arbeitspapier

Motorcycle fatalities revisited: A classical and Bayesian analysis

This paper examines the determinants of motorcycle fatality rates using panel data and classical and Bayesian statistical methods. It focuses on five variables in particular: universal helmet laws, partial helmet laws, cell phone use, suicidal propensities, and beer consumption. Universal helmet laws are found to be favored over partial helmet laws to reduce motorcycle fatality rates while cell phone use is found to be a significant contributor to motorcycle fatalities as is alcohol consumption. Suicidal propensities are also shown to contribute to these accidents.

Language
Englisch

Bibliographic citation
Series: Working Paper ; No. 2016-04

Classification
Wirtschaft
Health: Government Policy; Regulation; Public Health
Bayesian Analysis: General
Subject
motorcycle fatalities
cell phones
helmet laws
alcohol consumption
suicide
Bayesian econometrics

Event
Geistige Schöpfung
(who)
Fowles, Richard
Loeb, Peter D.
Permpoonwiwat, Chompoonuh K.
Event
Veröffentlichung
(who)
The University of Utah, Department of Economics
(where)
Salt Lake City, UT
(when)
2017

Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

This object is provided by:
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

  • Fowles, Richard
  • Loeb, Peter D.
  • Permpoonwiwat, Chompoonuh K.
  • The University of Utah, Department of Economics

Time of origin

  • 2017

Other Objects (12)