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Alcohol-Related Motor Vehicle Crash Risk and the Location of Alcohol Purchase

  • Chad Cotti

    ()

    (University of Connecticut)

  • Richard A. Dunn

    ()

    (Texas A&M University)

  • Nathan Tefft

    ()

    (University of Washington)

In this study, we examine how the probability of driving after a binge - drinking episode varies with the location of consumption and type of alcohol consumed. We also investigate the relationship between the location of alcohol purchase and the number of alcohol-related fatal motor vehicle crashes. We find that binge-drinkers are significantly more likely to drive after consuming alcohol at establishments that sell alcohol for on-premises consumption, e.g., from bars or restaurants, particularly after drinking beer. Further, per capita sales of alcohol for off-premises consumption are unrelated to the rate of alcohol- related fatal motor ve hicle crashes . When disaggregating alcohol types, per capita sales of beer for off - premises consumption are negatively associated with the rate of alcohol-related fatal motor vehicle crashes. In contrast, total per capita sales of alcohol from all establishments (on- and off-premises) are positively related to the rate of alcohol-related fatal motor vehicle crashes and the magnitude of this relationship is strongest for beer sales. Thus, policies that shift consumption away from bars and restaurants could lead to a decline in the number of motor vehicle crashes.

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File URL: http://www.cag.uconn.edu/are/zwickcenter/documents/workingpapers/wp23.pdf
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Paper provided by University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy in its series Working Papers with number 23.

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Length: 34 pages
Date of creation: Nov 2013
Date of revision:
Handle: RePEc:zwi:wpaper:23
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Web page: http://www.zwickcenter.uconn.eduEmail:


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  1. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-38, May.
  2. Christopher Carpenter, 2007. "Heavy Alcohol Use and Crime: Evidence from Underage Drunk-Driving Laws," Journal of Law and Economics, University of Chicago Press, vol. 50, pages 539-557.
  3. Cotti Chad & Tefft Nathan, 2011. "Decomposing the Relationship between Macroeconomic Conditions and Fatal Car Crashes during the Great Recession: Alcohol- and Non-Alcohol-Related Accidents," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-24, August.
  4. Baughman, Reagan & Conlin, Michael & Dickert-Conlin, Stacy & Pepper, John, 2001. "Slippery when wet: the effects of local alcohol access laws on highway safety," Journal of Health Economics, Elsevier, vol. 20(6), pages 1089-1096, November.
  5. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-in-Differences Estimates?," The Quarterly Journal of Economics, MIT Press, vol. 119(1), pages 249-275, February.
  6. repec:mpr:mprres:7163 is not listed on IDEAS
  7. Ruhm, Christopher J., 1995. "Economic conditions and alcohol problems," Journal of Health Economics, Elsevier, vol. 14(5), pages 583-603, December.
  8. Adams, Scott & Cotti, Chad, 2008. "Drunk driving after the passage of smoking bans in bars," Journal of Public Economics, Elsevier, vol. 92(5-6), pages 1288-1305, June.
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