A Bayesian and Classical Econometric Evaluation of the Effect of Cell Phones on Motor Vehicle Fatality Rates
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 nonlinear so as to address both life-taking and life-saving attributes of cell phones. The models are 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.
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Bibliographic InfoPaper provided by Department of Economics, Rutgers University, Newark in its series Working Papers Rutgers University, Newark with number 2009-001.
Date of creation: Feb 2009
Date of revision:
Motor Vehicle Fatality Rates; Cell Phones; Bayesian Econometric Methods; Extreme Bounds Analysis; Classical Econometric Methods;
Find related papers by JEL classification:
- L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation
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