Citation

Blattenberger G, Fowles R, Loeb PD, Clarke WA. Appl. Econ. 2012; 44(14): 1823-1835.

Copyright

(Copyright © 2012, Informa - Taylor and Francis Group)

DOI

10.1080/00036846.2011.554379

PMID

unavailable

Abstract

This article examines the potential effect of various factors on motor vehicle fatality rates using a rich set of panel data and classical regression analysis combined with Bayesian Extreme Bounds Analysis (EBA), Bayesian Model Averaging (BMA) and Stochastic Search Variable Selection (SSVS) procedures. The variables examined in the models include traditional motor vehicle and socioeconomic factors. In addition, the models address the effects of cell phone usage on such accidents. The use of both classical and Bayesian techniques diminish the model and parameter uncertainties which afflict more conventional modelling methods which rely on only one of the two methods.

Language: en

Keywords

applied Bayesian methods; C11; cell phones; I18; L92; motor vehicle fatality rates