Motorcycle fatalities revisited : a classical and Bayesian analysis

Richard Fowles, Peter D. Loeb, Chompoonuh K. Permpoonwiwat

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.

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Year of publication:	[2017]
Authors:	Fowles, Richard ; Loeb, Peter D. ; Permpoonwiwat, Chompoonuh K.
Publisher:	[Salt Lake City, UT] : University of Utah, Department of Economics
Subject:	motorcycle fatalities \| cell phones \| helmet laws \| alcohol consumption \| suicide \| Bayesian econometrics \| Verkehrsunfall \| Traffic accident \| Bayes-Statistik \| Bayesian inference \| Alkoholkonsum \| Alcohol consumption \| Motorrad \| Motorcycle \| Verkehrssicherheit \| Traffic safety

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Extent:	1 Online-Ressource (circa 44 Seiten) Illustrationen
Series:	Working papers / Department of Economics, University of Utah. - Salt Lake City, Utah : [Verlag nicht ermittelbar], ZDB-ID 2407571-1. - Vol. no: 2016, 04 (January 2017)
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Arbeitspapier ; Working Paper ; Graue Literatur ; Non-commercial literature
Language:	English
Other identifiers:	hdl:10419/180964 [Handle]
Classification:	I18 - Government Policy; Regulation; Public Health ; C11 - Bayesian Analysis
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10011598557