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When Private Information Settles the Bill: Money and Privacy in Google’s Market for Smartphone Applications

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  • Michael Kummer

    (Georgia Institute of Technology, Atlanta, Georgia 30332; University of East Anglia, Norwich NR4 7TJ, United Kingdom; Centre for European Economic Research, 68161 Mannheim, Germany;)

  • Patrick Schulte

    (Centre for European Economic Research, 68161 Mannheim, Germany; Deutsche Bundesbank, 60431 Frankfurt am Main, Germany)

Abstract

We shed light on a money-for-privacy trade-off in the market for smartphone applications (“apps”). Developers offer their apps at lower prices in return for greater access to personal information, and consumers choose between low prices and more privacy. We provide evidence for this pattern using data from 300,000 apps obtained from the Google Play Store (formerly Android Market) in 2012 and 2014. Our findings show that the market’s supply and demand sides both consider an app’s ability to collect private information, measured by the apps’s use of privacy-sensitive permissions: (1) cheaper apps use more privacy-sensitive permissions; (2) given price and functionality, demand is lower for apps with sensitive permissions; and (3) the strength of this relationship depends on contextual factors, such as the targeted user group, the app’s previous success, and its category. Our results are robust and consistent across several robustness checks, including the use of panel data, a difference-in-differences analysis, “twin” pairs of apps, and various measures of privacy-sensitivity and app demand.

Suggested Citation

  • Michael Kummer & Patrick Schulte, 2019. "When Private Information Settles the Bill: Money and Privacy in Google’s Market for Smartphone Applications," Management Science, INFORMS, vol. 65(8), pages 3470-3494, August.
  • Handle: RePEc:inm:ormnsc:v:65:y:2019:i:8:p:3470-3494
    DOI: 10.1287/mnsc.2018.3132
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    2. 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.
    3. 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.
    4. 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.
    5. Sabatino, Lorien & Sapi, Geza, 2022. "Online privacy and market structure: Theory and evidence," Information Economics and Policy, Elsevier, vol. 60(C).
    6. 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.
    7. 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.
    8. Cloarec, Julien, 2020. "The personalization–privacy paradox in the attention economy," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    9. Shota Ichihashi, 2021. "Competing data intermediaries," RAND Journal of Economics, RAND Corporation, vol. 52(3), pages 515-537, September.
    10. 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.
    11. Yongrui Duan & Yao Ge & Yixuan Feng, 2022. "Pricing and personal data collection strategies of online platforms in the face of privacy concerns," Electronic Commerce Research, Springer, vol. 22(2), pages 539-559, June.
    12. 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.
    13. Tesary Lin, 2022. "Valuing Intrinsic and Instrumental Preferences for Privacy," Marketing Science, INFORMS, vol. 41(4), pages 663-681, July.
    14. 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.
    15. Tesary Lin & Avner Strulov-Shlain, 2023. "Choice Architecture, Privacy Valuations, and Selection Bias in Consumer Data," Papers 2308.13496, arXiv.org.
    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. 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.
    19. 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.
    20. Shota Ichihashi, 2023. "Dynamic Privacy Choices," American Economic Journal: Microeconomics, American Economic Association, vol. 15(2), pages 1-40, May.
    21. Shota Ichihashi, 2020. "Non-competing Data Intermediaries," Staff Working Papers 20-28, Bank of Canada.
    22. 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

    Android; mobile applications; privacy; permissions; supply and demand for 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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