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Traffic accidents: an econometric investigation

  • Tito Moreira

    ()

    (Catholic University)

  • Adolfo Sachsida

    ()

    (Catholic University)

  • Loureiro Paulo

    ()

    (Catholic University)

Based on a sample of drivers in Brasilia's streets, this article investigates whether distraction explains traffic accidents. A probit model is estimated to determine the predictive power of several variables on traffic accidents. The main conclusion drawn from this study is that the proxies used to measure distraction, such as the use of cell phones and cigarette smoking in a moving vehicle, are significant factors in determining traffic accidents.

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File URL: http://www.accessecon.com/pubs/EB/2004/Volume18/EB-04R40001A.pdf
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Article provided by AccessEcon in its journal Economics Bulletin.

Volume (Year): 18 (2004)
Issue (Month): 3 ()
Pages: 1-7

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Handle: RePEc:ebl:ecbull:eb-04r40001
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  1. Heckman, James J, 1990. "Varieties of Selection Bias," American Economic Review, American Economic Association, vol. 80(2), pages 313-18, May.
  2. Andrew Dickerson & John Peirson & Roger Vickerman, 1998. "Road Accidents and Traffic Flows: An Econometric Investigation," Studies in Economics 9809, School of Economics, University of Kent.
  3. John Peirson & Ian Skinner & Roger Vickerman, 1996. "The Microeconomic Analysis of the External Costs of Road Accidents," Studies in Economics 9606, School of Economics, University of Kent.
  4. Gary S. Becker, 1968. "Crime and Punishment: An Economic Approach," Journal of Political Economy, University of Chicago Press, vol. 76, pages 169.
  5. Steven D. Levitt & Jack Porter, 2001. "How Dangerous Are Drinking Drivers?," Journal of Political Economy, University of Chicago Press, vol. 109(6), pages 1198-1237, December.
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