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When private information settles the bill: Money and privacy in Google's market for smartphone applications

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  • Kummer, Michael E.
  • Schulte, Patrick

Abstract

We shed light on a money-for-privacy trade-off in the market for smartphone applications ("apps"). Developers offer their apps cheaper in return for greater access to personal information, and consumers choose between lower prices and more privacy. We provide evidence for this pattern using data on 300,000 mobile applications which were obtained from the Android Market in 2012 and 2014. We augmented these data with information from Alexa.com and Amazon Mechanical Turk. Our findings show that both the market's supply and the demand side consider an app's ability to collect private information, measured by their use of privacy-sensitive permissions: (1) cheaper apps use more privacy-sensitive permissions; (2) installation numbers are lower for apps with sensitive permissions; (3) circumstantial factors, such as the reputation of app developers, mitigate the strength of this relationship. Our results emerge consistently across several robustness checks, including the use of panel data analysis, the use of selected matched "twin"-pairs of apps and the use of various alternative measures of privacy-sensitiveness.

Suggested Citation

  • Kummer, Michael E. & Schulte, Patrick, 2016. "When private information settles the bill: Money and privacy in Google's market for smartphone applications," ZEW Discussion Papers 16-031, ZEW - Leibniz Centre for European Economic Research.
  • Handle: RePEc:zbw:zewdip:16031
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    Cited by:

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    4. Yosuke Uno & Akira Sonoda & Masaki Bessho, 2021. "The Economics of Privacy: A Primer Especially for Policymakers," Bank of Japan Working Paper Series 21-E-11, Bank of Japan.
    5. Shota Ichihashi, 2023. "Dynamic Privacy Choices," American Economic Journal: Microeconomics, American Economic Association, vol. 15(2), pages 1-40, May.
    6. Garrett A. Johnson & Scott K. Shriver & Shaoyin Du, 2020. "Consumer Privacy Choice in Online Advertising: Who Opts Out and at What Cost to Industry?," Marketing Science, INFORMS, vol. 39(1), pages 33-51, January.
    7. Norman, George & Pepall, Lynne & Richards, Dan & Tan, Liang, 2016. "Competition and consumer data: The good, the bad, and the ugly," Research in Economics, Elsevier, vol. 70(4), pages 752-765.
    8. Sabatino, Lorien & Sapi, Geza, 2022. "Online privacy and market structure: Theory and evidence," Information Economics and Policy, Elsevier, vol. 60(C).
    9. Jeffrey T. Prince & Scott Wallsten, 2022. "How much is privacy worth around the world and across platforms?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(4), pages 841-861, November.
    10. Tesary Lin & Avner Strulov-Shlain, 2023. "Choice Architecture, Privacy Valuations, and Selection Bias in Consumer Data," Papers 2308.13496, arXiv.org.
    11. Pauline Affeldt & Reinhold Kesler, 2021. "Competitors’ Reactions to Big Tech Acquisitions: Evidence from Mobile Apps," Discussion Papers of DIW Berlin 1987, DIW Berlin, German Institute for Economic Research.
    12. Shota Ichihashi, 2021. "Competing data intermediaries," RAND Journal of Economics, RAND Corporation, vol. 52(3), pages 515-537, September.
    13. Peter Seele & Claus Dierksmeier & Reto Hofstetter & Mario D. Schultz, 2021. "Mapping the Ethicality of Algorithmic Pricing: A Review of Dynamic and Personalized Pricing," Journal of Business Ethics, Springer, vol. 170(4), pages 697-719, May.
    14. Tesary Lin, 2022. "Valuing Intrinsic and Instrumental Preferences for Privacy," Marketing Science, INFORMS, vol. 41(4), pages 663-681, July.
    15. Xudong Lin & Shuilin Liu & Xiaoli Huang & Hanyang Luo & Sumin Yu, 2021. "Platform Revenue Strategy Selection Considering Consumer Group Data Privacy Regulation," Mathematics, MDPI, vol. 9(22), pages 1-24, November.
    16. Kesler, Reinhold & Kummer, Michael E. & Schulte, Patrick, 2019. "Competition and privacy in online markets: Evidence from the mobile app industry," ZEW Discussion Papers 19-064, ZEW - Leibniz Centre for European Economic Research.
    17. David A. Schweidel & Yakov Bart & J. Jeffrey Inman & Andrew T. Stephen & Barak Libai & Michelle Andrews & Ana Babić Rosario & Inyoung Chae & Zoey Chen & Daniella Kupor & Chiara Longoni & Felipe Thomaz, 2022. "How consumer digital signals are reshaping the customer journey," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1257-1276, November.
    18. Hildenbrand, Hannah-Maria & von Rueden, Christina & Viete, Steffen, 2021. "Measuring the online platform economy in Germany," Working Papers 07/2021, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung.
    19. Joey van Angeren & Govert Vroom & Brian T. McCann & Ksenia Podoynitsyna & Fred Langerak, 2022. "Optimal distinctiveness across revenue models: Performance effects of differentiation of paid and free products in a mobile app market," Strategic Management Journal, Wiley Blackwell, vol. 43(10), pages 2066-2100, October.
    20. Anna D’Annunzio & Elena Menichelli, 2022. "A market for digital privacy: consumers’ willingness to trade personal data and money," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(3), pages 571-598, September.
    21. Kesler, Reinhold & Kummer, Michael E. & Schulte, Patrick, 2017. "Mobile applications and access to private data: The supply side of the Android ecosystem," ZEW Discussion Papers 17-075, ZEW - Leibniz Centre for European Economic Research.
    22. Shota Ichihashi, 2020. "Non-competing Data Intermediaries," Staff Working Papers 20-28, Bank of Canada.
    23. Dimakopoulos, Philipp D. & Sudaric, Slobodan, 2018. "Privacy and platform competition," International Journal of Industrial Organization, Elsevier, vol. 61(C), pages 686-713.

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    More about this item

    Keywords

    Privacy; Mobile Applications; Android; Permissions; Supply and Demand of Private Information;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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