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Alcohol-impaired motor vehicle crash risk and the location of alcohol purchase

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  • Cotti, Chad
  • Dunn, Richard A.
  • Tefft, Nathan

Abstract

Motor vehicle crashes involving alcohol impairment are among the leading causes of mortality and morbidity in the U.S. 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-impaired fatal motor vehicle crashes. Using multiple datasets that are representative of the U.S. between 2003 and 2009, 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-impaired fatal motor vehicle crashes. When disaggregating alcohol types, per capita sales of beer for off-premises consumption are negatively associated with the rate of alcohol-impaired 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-impaired 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.

Suggested Citation

  • Cotti, Chad & Dunn, Richard A. & Tefft, Nathan, 2014. "Alcohol-impaired motor vehicle crash risk and the location of alcohol purchase," Social Science & Medicine, Elsevier, vol. 108(C), pages 201-209.
  • Handle: RePEc:eee:socmed:v:108:y:2014:i:c:p:201-209
    DOI: 10.1016/j.socscimed.2014.03.003
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    References listed on IDEAS

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    1. 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.
    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. Liran Einav & Ephraim Leibtag & Aviv Nevoy, 2008. "Not-So-Classical Measurement Errors: A Validation Study of Homescan," Discussion Papers 08-007, Stanford Institute for Economic Policy Research.
    4. Ruhm, Christopher J., 1995. "Economic conditions and alcohol problems," Journal of Health Economics, Elsevier, vol. 14(5), pages 583-603, December.
    5. Christopher Carpenter & Carlos Dobkin, 2009. "The Effect of Alcohol Consumption on Mortality: Regression Discontinuity Evidence from the Minimum Drinking Age," American Economic Journal: Applied Economics, American Economic Association, vol. 1(1), pages 164-182, January.
    6. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, Oxford University Press, vol. 119(1), pages 249-275.
    7. repec:mpr:mprres:7163 is not listed on IDEAS
    8. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    9. 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.
    10. 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.
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    Cited by:

    1. Chad Cotti & John Gordanier & Orgul Ozturk, 2016. "Eat (and Drink) Better Tonight: Food Stamp Benefit Timing and Drunk Driving Fatalities," American Journal of Health Economics, MIT Press, vol. 2(4), pages 511-534, Fall.

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