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Sensor Data and Behavioral Tracking: Does Usage-Based Auto Insurance Benefit Drivers?

Author

Listed:
  • Miremad Soleymanian

    (Sauder School of Business, University of British Columbia, Vancouver, British Columbia V6T 1Z2, Canada)

  • Charles B. Weinberg

    (Sauder School of Business, University of British Columbia, Vancouver, British Columbia V6T 1Z2, Canada)

  • Ting Zhu

    (Krannert School of Management, Purdue University, West Lafayette, Indiana 47907)

Abstract

Usage-based insurance (UBI) is a recent auto insurance innovation that enables insurers to collect individual-level driving data, provide feedback on driving performance, and offer individually targeted price discounts based on each consumer’s driving behavior. Using individual driving behavior (from sensor data) and other information for UBI adopters, we estimate the relationship from being enrolled and monitored (for up to 26 weeks) in the UBI program and changes in the driving behavior of UBI customers. The key results of our analysis show that after UBI adoption, the UBI users improve the safety of their driving, providing a meaningful benefit for the individual driver, the insurer, and society as a whole. While UBI customers decrease their daily average hard-brake frequency by an average of 21% after six months, their mileage driven does not decrease comparing week 26 to week 1. We also find heterogeneous effects across different demographic groups. For example, younger drivers improve their UBI scores more than older drivers after UBI adoption, and females show more improvement than males. Furthermore, we find evidence that negative feedback and economic incentives correlate with greater improvement in driving behavior. Our results suggest that by sharing private consumer information with the insurer, UBI can benefit consumers who become better drivers, as well as the entire society from improved road safety.

Suggested Citation

  • Miremad Soleymanian & Charles B. Weinberg & Ting Zhu, 2019. "Sensor Data and Behavioral Tracking: Does Usage-Based Auto Insurance Benefit Drivers?," Marketing Science, INFORMS, vol. 38(1), pages 21-43, January.
  • Handle: RePEc:inm:ormksc:v:38:y:2019:i:1:p:21-43
    DOI: 10.1287/mksc.2018.1126
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    References listed on IDEAS

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    1. Arvidsson, Sara, 2010. "Reducing asymmetric information with usage-based automobile insurance," Working Papers 2010:2, Swedish National Road & Transport Research Institute (VTI), revised 03 Feb 2011.
    2. Richard Arnott & Bruce Greenwald & Ravi Kanbur & Barry Nalebuff (ed.), 2003. "Economics for an Imperfect World: Essays in Honor of Joseph E. Stiglitz," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262012057, December.
    3. Lars Hultkrantz & Gunnar Lindberg, 2011. "Pay-as-you-speed An Economic Field Experiment," Journal of Transport Economics and Policy, University of Bath, vol. 45(3), pages 415-436, September.
    4. Aviv Nevo & John L. Turner & Jonathan W. Williams, 2016. "Usage‐Based Pricing and Demand for Residential Broadband," Econometrica, Econometric Society, vol. 84, pages 411-443, March.
    5. Ian W. H. Parry, 2005. "Is Pay-as-You-Drive Insurance a Better Way to Reduce Gasoline than Gasoline Taxes?," American Economic Review, American Economic Association, vol. 95(2), pages 288-293, May.
    6. Avi Goldfarb & Catherine Tucker, 2012. "Privacy and Innovation," NBER Chapters, in: Innovation Policy and the Economy, Volume 12, pages 65-89, National Bureau of Economic Research, Inc.
    7. Joshua Angrist & Victor Lavy, 2009. "The Effects of High Stakes High School Achievement Awards: Evidence from a Randomized Trial," American Economic Review, American Economic Association, vol. 99(4), pages 1384-1414, September.
    8. Arnott, Richard J. & Greenwald, Bruce & Kanbur, Ravi & Nalebuff, Barry, 2003. "Joseph Stiglitz and Economics for an Imperfect World," Working Papers 127202, Cornell University, Department of Applied Economics and Management.
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