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New York City Drunk Driving After Uber

Author

Listed:
  • Jessica Lynn Peck

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

Abstract

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
    as

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    File URL: http://wfs.gc.cuny.edu/Economics/RePEc/cgc/wpaper/CUNYGC-WP013.pdf
    File Function: First version, January 2017
    Download Restriction: no

    References listed on IDEAS

    as
    1. Judd Cramer & Alan B. Krueger, 2016. "Disruptive Change in the Taxi Business: The Case of Uber," American Economic Review, American Economic Association, vol. 106(5), pages 177-182, May.
    2. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    3. Henry S. Farber, 2005. "Is Tomorrow Another Day? The Labor Supply of New York City Cabdrivers," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 46-82, February.
    4. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    5. Lovenheim, Michael F. & Slemrod, Joel, 2010. "The fatal toll of driving to drink: The effect of minimum legal drinking age evasion on traffic fatalities," Journal of Health Economics, Elsevier, vol. 29(1), pages 62-77, January.
    6. Thomas S Dee, 2001. "Does setting limits save lives? The case of 0.08 BAC laws," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 20(1), pages 111-128.
    7. Frechette, Guilaume & Lizzeri, Alessandro & Salz, Tobias, 2016. "Frictions in a Competitive, Regulated Market Evidence from Taxis," CEPR Discussion Papers 11626, C.E.P.R. Discussion Papers.
    8. Steven F. Kreft & Nancy M. Epling, 2007. "Do border crossings contribute to underage motor-vehicle fatalities? An analysis of Michigan border crossings," Canadian Journal of Economics, Canadian Economics Association, vol. 40(3), pages 765-781, August.
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    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Wednesday links: an amazing computer
      by ? in Abnormal Returns on 2017-03-29 21:21:00

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    Cited by:

    1. Thorsten Heilker & Gernot Sieg, 2017. "A duopoly of transportation network companies and traditional radio-taxi dispatch service agencies," Working Papers 24, Institute of Transport Economics, University of Muenster.
    2. 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.

    More about this item

    Keywords

    drunk driving; alcohol; taxi; ride-sharing;

    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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