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New York City Drunk Driving After Uber


  • Jessica Lynn Peck

    (Ph.D. Program in Economics, Graduate Center, CUNY)


This study investigates the effect of the introduction of Uber in New York City in May 2011 on drunk-driving. A difference-in-differences estimation of this effect implies a 25-35% decrease in the alcohol-related collision rate for the affected New York City boroughs, or about 40 collisions per month. With differentiated treatment effects for each effected county, the difference-in- differences effect is higher for Manhattan, average for the Bronx and Brooklyn, and lower for Queens. A synthetic control analysis shows pronounced effects over time in the Bronx and Brooklyn, and a permutation test confirms the effect is not commonly reproducible using untreated counties.

Suggested Citation

  • Jessica Lynn Peck, 2017. "New York City Drunk Driving After Uber," Working Papers 13, City University of New York Graduate Center, Ph.D. Program in Economics.
  • Handle: RePEc:cgc:wpaper:013

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    References listed on IDEAS

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    8. Zhou, You, 2020. "Ride-sharing, alcohol consumption, and drunk driving," Regional Science and Urban Economics, Elsevier, vol. 85(C).
    9. Hall, Jonathan D. & Palsson, Craig & Price, Joseph, 2018. "Is Uber a substitute or complement for public transit?," Journal of Urban Economics, Elsevier, vol. 108(C), pages 36-50.
    10. Kirk, David S. & Cavalli, Nicolo & Brazil, Noli, 2020. "The implications of ridehailing for risky driving and road accident injuries and fatalities," Social Science & Medicine, Elsevier, vol. 250(C).
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    More about this item


    drunk driving; alcohol; taxi; ride-sharing;
    All these keywords.

    JEL classification:

    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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