The cell phone effect on motor vehicle fatality rates: A Bayesian and classical econometric evaluation
AbstractThis paper examines the potential effect of cell phones on motor vehicle fatality rates normalized for other driving related and socioeconomic factors. The model used is non-linear so as to address both life-taking and life-saving attributes of cell phones. The model is evaluated using classical methods along with Bayesian Extreme Bounds Analysis (EBA). The use of both classical and Bayesian methods diminishes the model and parameter uncertainties which afflict more conventional modeling methods which rely on only one of the two methods. The results indicate the presence of both life-taking and life-saving attributes of cell phones on motor vehicle fatality rates depending on the volume of cell phone subscribers in existence.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Elsevier in its journal Transportation Research Part E: Logistics and Transportation Review.
Volume (Year): 46 (2010)
Issue (Month): 6 (November)
Contact details of provider:
Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Blattenberger, Gail & Fowles, Richard & Loeb, Peter D., 2013. "Determinants of motor vehicle crash fatalities using Bayesian model selection methods," Research in Transportation Economics, Elsevier, vol. 43(1), pages 112-122.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).
If references are entirely missing, you can add them using this form.