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

Published Online:https://doi.org/10.1287/mksc.2018.1126

References

  • Altmann J, Chu K (2001) How to charge for network services—Flat-rate or usage-based? Comput. Networks 36(5–6):519–531.CrossrefGoogle Scholar
  • Anderson JM, Heaton P, Carroll SJ (2010) What Happened to No-Fault Automobile Insurance? (RAND Corporation, Santa Monica, CA).CrossrefGoogle Scholar
  • Angrist J, Lavy V (2009) The effects of high stakes high school achievement awards: Evidence from a randomized trial. Amer. Econom. Rev. 99(4):1384–1414.CrossrefGoogle Scholar
  • Arvidsson S (2011) Reducing asymmetric information with usage-based automobile insurance. Technical report, Swedish National Road and Transport Research Institute (VTI), Solna, Sweden.Google Scholar
  • Bala R, Carr S (2010) Usage-based pricing of software services under competition. J. Revenue Pricing Management 9(3):204–216.CrossrefGoogle Scholar
  • Dweck CS (1986) Motivational processes affecting learning. Amer. Psych. 41(10):1040–1048.CrossrefGoogle Scholar
  • Edlin AS (2003) Per-mile premiums for auto insurance. Arnott R, Greenwald B, Kanbur R eds. Economics for an Imperfect World: Essays in Honor of Joseph Stiglitz (MIT Press, Cambridge, MA), 53–82.Google Scholar
  • Elvik R (2014) Rewarding safe and environmentally sustainable driving: Systematic review of trials. Transportation Res. Record J. Transportation Res. Board (2465):1–7.CrossrefGoogle Scholar
  • Fincham WF, Kast A, Lambourn RF (1995) The use of a high resolution accident data recorder in the field. SAE Tech. Paper Ser. 104(1):627–638.Google Scholar
  • Fujii S, Taniguchi A (2005) Reducing family car-use by providing travel advice or requesting behavioral plans: An experimental analysis of travel feedback programs. Transportation Res. Transport Environ. 10(5):385–393.CrossrefGoogle Scholar
  • Goldfarb A, Tucker C (2012) Privacy and innovation. Innovation Policy Econom. 12:65–89.CrossrefGoogle Scholar
  • Goldfarb A, Tucker C (2013) Why managing consumer privacy can be an opportunity. MIT Sloan Management Rev. 54(3):10–12.Google Scholar
  • Gopalakrishnan A, Iyengar R, Meyer RJ (2014) Consumer dynamic usage allocation and learning under multipart tariffs. Marketing Sci. 34(1):116–133.LinkGoogle Scholar
  • Grubb MD (2014) Consumer inattention and bill-shock regulation. Rev. Econom. Stud. 82(1):219–257.CrossrefGoogle Scholar
  • Heberlein TA, Baumgartner RM (1985) Changing attitudes and electricity consumption in a time-of-use experiment. Internat. Conf. Consumer Behav. Energy Policy, Versailles, France.Google Scholar
  • Hultkrantz L, Lindberg G (2011) Pay-as-you-speed: An economic field experiment. J. Transport Econom. Policy 45(3):415–436.Google Scholar
  • Lambrecht A, Skiera B (2006) Paying too much and being happy about it: Existence, causes, and consequences of tariff-choice biases. J. Marketing Res. 43(2):212–223.CrossrefGoogle Scholar
  • Liu X, Montgomery A, Srinivasan K (2014) Overhaul overdraft fees: Creating pricing and product design strategies with big data. Working paper, Carnegie Mellon University, Pittsburgh.Google Scholar
  • Nevo A, Turner JL, Williams JW (2016) Usage-based pricing and demand for residential broadband. Econometrica 84(2):411–443.CrossrefGoogle Scholar
  • Parry IW (2005) Is pay-as-you-drive insurance a better way to reduce gasoline than gasoline taxes?. Amer. Econom. Rev. 95(2):288–293.CrossrefGoogle Scholar
  • Patel MS, Asch DA, Volpp KG (2016) Framing financial incentives to increase physical activity among overweight and obese adults. Ann. Internal Medicine 165(8):385–394.CrossrefGoogle Scholar
  • Rainie L, Duggan M (2016) Privacy and information sharing. Report, Pew Research Center, Washington, DC, http://www.pewinternet.org/2016/01/14/2016/Privacy-and-Information-Sharing.Google Scholar
  • SAS Institute (2014) Telematics: How big data is transforming the auto insurance industry. White paper, SAS Institute, Cary, NC, http://www.sas.com/en_us/whitepapers/telematics-106175.html.Google Scholar
  • Stern PC (1999) Information, incentives, and proenvironmental consumer behavior. J. Consumer Policy 22(4):461–478.CrossrefGoogle Scholar
  • Taniguchi A, Hara F, Takano SE, Kagaya SI, Fujii S (2003) Psychological and behavioral effects of travel feedback program for travel behavior modification. Transportation Res. Record J. Transportation Res. Board 1839:182–190.CrossrefGoogle Scholar
  • Tavernise S (2014) Calories on menus: Nationwide experiment into human behavior. New York Times (November 26), https://www.nytimes.com/2014/11/27/upshot/calories-on-menus-a-nationwide-experiment-into-human-behavior.html.Google Scholar
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