IDEAS home Printed from https://ideas.repec.org/p/brd/wpaper/119r.html
   My bibliography  Save this paper

Welfare Implications of Proprietary Data Collection: An Application to Telematics in Auto Insurance

Author

Listed:
  • Imke Reimers

    (Northeastern University)

  • Benjamin R. Shiller

    (Brandeis University)

Abstract

Concerns about anti-competitive effects of proprietary data collection have motivated recent European data portability laws. We investigate such concerns and search for evidence of direct benefits of data collection in the context of Pay How You Drive (PHYD) auto insurance, which offers tailored discounts to drivers monitored by telematics devices. We exploit the staggered entry of PHYD insurance across states and insurers in a difference-in-differences framework, and we replicate the main findings using state insurance regulations as instruments for entry timing. We find a meaningful impact of PHYD programs on fatal accidents, but we find no evidence of antitrust concerns.

Suggested Citation

  • Imke Reimers & Benjamin R. Shiller, 2018. "Welfare Implications of Proprietary Data Collection: An Application to Telematics in Auto Insurance," Working Papers 119R, Brandeis University, Department of Economics and International Business School, revised May 2018.
  • Handle: RePEc:brd:wpaper:119r
    as

    Download full text from publisher

    File URL: http://www.brandeis.edu/economics/RePEc/brd/doc/Brandeis_WP119R.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rodrigo Montes & Wilfried Sand-Zantman & Tommaso Valletti, 2019. "The Value of Personal Information in Online Markets with Endogenous Privacy," Management Science, INFORMS, vol. 65(3), pages 1342-1362, March.
    2. Liran Einav & Amy Finkelstein & Stephen P. Ryan & Paul Schrimpf & Mark R. Cullen, 2013. "Selection on Moral Hazard in Health Insurance," American Economic Review, American Economic Association, vol. 103(1), pages 178-219, February.
    3. Paul Klemperer, 1987. "Markets with Consumer Switching Costs," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(2), pages 375-394.
    4. 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.
    5. C. Kirabo Jackson & Henry S. Schneider, 2011. "Do Social Connections Reduce Moral Hazard? Evidence from the New York City Taxi Industry," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 244-267, July.
    6. David Dranove & Ginger Zhe Jin, 2010. "Quality Disclosure and Certification: Theory and Practice," Journal of Economic Literature, American Economic Association, vol. 48(4), pages 935-963, December.
    7. Paul Klemperer, 1995. "Competition when Consumers have Switching Costs: An Overview with Applications to Industrial Organization, Macroeconomics, and International Trade," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 62(4), pages 515-539.
    8. Bresnahan, Timothy F & Reiss, Peter C, 1991. "Entry and Competition in Concentrated Markets," Journal of Political Economy, University of Chicago Press, vol. 99(5), pages 977-1009, October.
    9. Benjamin Reed Shiller, 2013. "First Degree Price Discrimination Using Big Data," Working Papers 58, Brandeis University, Department of Economics and International Business School, revised Jan 2014.
    10. Rodrigo Montes & Wilfried Sand-Zantman & Tommaso Valletti, 2015. "The Value of Personal Information in Markets with Endogenous Privacy," CEIS Research Paper 352, Tor Vergata University, CEIS, revised 05 Aug 2015.
    11. Joel Waldfogel, 2015. "First Degree Price Discrimination Goes to School," Journal of Industrial Economics, Wiley Blackwell, vol. 63(4), pages 569-597, December.
    12. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    13. Henry Schneider, 2010. "Moral Hazard in Leasing Contracts: Evidence from the New York City Taxi Industry," Journal of Law and Economics, University of Chicago Press, vol. 53(4), pages 783-805.
    14. Klemperer, Paul D, 1987. "Entry Deterrence in Markets with Consumer Switching Costs," Economic Journal, Royal Economic Society, vol. 97(388a), pages 99-117, Supplemen.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Calvano, Emilio & Polo, Michele, 2021. "Market power, competition and innovation in digital markets: A survey," Information Economics and Policy, Elsevier, vol. 54(C).
    2. O’Connor, Jason & Wilson, Nathan E., 2021. "Reduced demand uncertainty and the sustainability of collusion: How AI could affect competition," Information Economics and Policy, Elsevier, vol. 54(C).
    3. Ehsan Valavi & Joel Hestness & Newsha Ardalani & Marco Iansiti, 2022. "Time and the Value of Data," Papers 2203.09118, arXiv.org.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Imke Reimers & Benjamin R. Shiller, 2018. "Proprietary Data, Competition, and Consumer Effort: An Application to Telematics in Auto Insurance," Working Papers 119, Brandeis University, Department of Economics and International Business School.
    2. Belleflamme,Paul & Peitz,Martin, 2015. "Industrial Organization," Cambridge Books, Cambridge University Press, number 9781107687899, January.
    3. Bouckaert, Jan & Degryse, Hans & Provoost, Thomas, 2010. "Enhancing market power by reducing switching costs," Economics Letters, Elsevier, vol. 109(2), pages 131-133, November.
    4. Magnus Lundin & Nils Gottfries & Charlotte Bucht & Tomas Lindström, 2009. "Price and Investment Dynamics: Theory and Plant‐Level Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(5), pages 907-934, August.
    5. Mark J. Tremblay, 2019. "Platform Competition and Endogenous Switching Costs," Journal of Industry, Competition and Trade, Springer, vol. 19(4), pages 537-559, December.
    6. Mitja Kovač & Ann-Sophie Vandenberghe, 2015. "Regulation of Automatic Renewal Clauses: A Behavioural Law and Economics Approach," Journal of Consumer Policy, Springer, vol. 38(3), pages 287-313, September.
    7. Stephen Littlechild, 2020. "An Overall Customer Satisfaction score for GB energy suppliers," Working Papers EPRG2027, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    8. Ioana A. Duca & José M. Montero & Marianna Riggi & Roberta Zizza, 2017. "I will survive. Pricing strategies of financially distressed firms," Temi di discussione (Economic working papers) 1106, Bank of Italy, Economic Research and International Relations Area.
    9. Wing Man Wynne Lam, 2017. "Switching Costs in Two-Sided Markets," Journal of Industrial Economics, Wiley Blackwell, vol. 65(1), pages 136-182, March.
    10. Donna, Javier D., 2018. "Measuring Long-Run Price Elasticities in Urban Travel Demand," MPRA Paper 90059, University Library of Munich, Germany.
    11. Adams, Paul & Hunt, Stefan & Palmer, Christopher & Zaliauskas, Redis, 2021. "Testing the effectiveness of consumer financial disclosure: Experimental evidence from savings accounts," Journal of Financial Economics, Elsevier, vol. 141(1), pages 122-147.
    12. Rizkiah, Siti K. & Disli, Mustafa & Salim, Kinan & Razak, Lutfi A., 2021. "Switching costs and bank competition: Evidence from dual banking economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    13. Jitsuzumi, Toshiya, 2015. "Recent Development of Net Neutrality Conditions in Japan: Impact of Fiber Wholesale and Long-term Evolution (LTE)," 26th European Regional ITS Conference, Madrid 2015 127152, International Telecommunications Society (ITS).
    14. Ciotti, Fabrizio & Hornuf, Lars & Stenzhorn, Eliza, 2021. "Lock-In Effects in Online Labor Markets," LIDAM Discussion Papers CORE 2021014, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    15. Mueller, Milton L. & Park, Yuri & Lee, Jongsu & Kim, Tai-Yoo, 2006. "Digital identity: How users value the attributes of online identifiers," Information Economics and Policy, Elsevier, vol. 18(4), pages 405-422, November.
    16. Guney, Begum & Richter, Michael, 2018. "Costly switching from a status quo," Journal of Economic Behavior & Organization, Elsevier, vol. 156(C), pages 55-70.
    17. Ruqu Wang & Quan Wen, 1998. "Strategic Invasion in Markets with Switching Costs," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 7(4), pages 521-549, December.
    18. Nogata, Daisuke, 2022. "Determinants of household switching between natural gas suppliers: Evidence from Japan," Utilities Policy, Elsevier, vol. 76(C).
    19. Nagesh N. Murthy & Milind Shrikhande & Ajay Subramanian, 2007. "Switching costs, dynamic uncertainty, and buyer–seller relationships," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(8), pages 859-873, December.
    20. Nilssen, Tore, 2000. "Consumer lock-in with asymmetric information," International Journal of Industrial Organization, Elsevier, vol. 18(4), pages 641-666, May.

    More about this item

    Keywords

    Proprietary data; data portability; oligopoly; economic competition; asymmetric information;
    All these keywords.

    JEL classification:

    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L40 - Industrial Organization - - Antitrust Issues and Policies - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:brd:wpaper:119r. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Andrea Luna (email available below). General contact details of provider: https://edirc.repec.org/data/gsbraus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.