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Nothing to hide? Gender and age differences in the willingness to share data

Author

Listed:
  • Olivier Armantier
  • Sebastian Doerr
  • Jon Frost
  • Andreas Fuster
  • Kelly Shue

Abstract

Many digital applications rely on the willingness of users to voluntarily share personal data. Yet some users are more comfortable sharing data than others. To document these differences, we draw on questions to a representative sample of U.S. households added to the New York Fed's Survey of Consumer Expectations. We find that women a re less willing than men, and older individuals less willing than the young, to share their financial transaction data in exchange for better offers on financial services. Across these groups, there are significant differences in attitudes, such as willingness to take financial risks, concerns that data will become publicly available, and concerns around personal safety. Responses suggest that privacy regulation can increase the willingness to share data, but effects do not differ by gender.

Suggested Citation

  • Olivier Armantier & Sebastian Doerr & Jon Frost & Andreas Fuster & Kelly Shue, 2024. "Nothing to hide? Gender and age differences in the willingness to share data," BIS Working Papers 1187, Bank for International Settlements.
  • Handle: RePEc:bis:biswps:1187
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    References listed on IDEAS

    as
    1. Dirk Bergemann & Alessandro Bonatti & Tan Gan, 2022. "The economics of social data," RAND Journal of Economics, RAND Corporation, vol. 53(2), pages 263-296, June.
    2. Miguel Godinho de Matos & Idris Adjerid, 2022. "Consumer Consent and Firm Targeting After GDPR: The Case of a Large Telecom Provider," Management Science, INFORMS, vol. 68(5), pages 3330-3378, May.
    3. Alessandro Acquisti & Curtis Taylor & Liad Wagman, 2016. "The Economics of Privacy," Journal of Economic Literature, American Economic Association, vol. 54(2), pages 442-492, June.
    4. Long Chen & Yadong Huang & Shumiao Ouyang & Wei Xiong, 2021. "The Data Privacy Paradox and Digital Demand," NBER Working Papers 28854, National Bureau of Economic Research, Inc.
    5. Chen, S. & Doerr, S. & Frost, J. & Gambacorta, L. & Shin, H.S., 2023. "The fintech gender gap," Journal of Financial Intermediation, Elsevier, vol. 54(C).
    6. Oren Bar-Gill, 2021. "Price discrimination with consumer misperception," Applied Economics Letters, Taylor & Francis Journals, vol. 28(10), pages 829-834, June.
    7. Cyril Monnet & Hyun Song Shin & Jon Frost & Leonardo Gambacorta & Raphael Auer & Tara Rice, 2022. "Central Bank Digital Currencies: Motives, Economic Implications, and the Research Frontier," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 697-721, August.
    8. Sebastian Doerr & Leonardo Gambacorta & Luigi Guiso & Marina Sanchez del Villar, 2023. "Privacy regulation and fintech lending," BIS Working Papers 1103, Bank for International Settlements.
    9. He, Zhiguo & Huang, Jing & Zhou, Jidong, 2023. "Open banking: Credit market competition when borrowers own the data," Journal of Financial Economics, Elsevier, vol. 147(2), pages 449-474.
    10. Lex Borghans & Bart H. H. Golsteyn & James J. Heckman & Huub Meijers, 2009. "Gender Differences in Risk Aversion and Ambiguity Aversion," Journal of the European Economic Association, MIT Press, vol. 7(2-3), pages 649-658, 04-05.
    11. Blattner, Laura & Nelson, Scott, 2021. "How Costly Is Noise? Data and Disparities in Consumer Credit," Research Papers 3978, Stanford University, Graduate School of Business.
    12. Olivier Armantier & Giorgio Topa & Wilbert Van der Klaauw & Basit Zafar, 2017. "An overview of the Survey of Consumer Expectations," Economic Policy Review, Federal Reserve Bank of New York, issue 23-2, pages 51-72.
    13. Marco Di Maggio & Dimuthu Ratnadiwakara & Don Carmichael, 2022. "Invisible Primes: Fintech Lending with Alternative Data," NBER Working Papers 29840, National Bureau of Economic Research, Inc.
    14. Rodney J. Garratt & Maarten R. C. van Oordt, 2021. "Privacy as a Public Good: A Case for Electronic Cash," Journal of Political Economy, University of Chicago Press, vol. 129(7), pages 2157-2180.
    15. Nam, Rachel J., 2022. "Open banking and customer data sharing: Implications for FinTech borrowers," SAFE Working Paper Series 364, Leibniz Institute for Financial Research SAFE.
    16. Lusardi, Annamaria & Mitchell, Olivia S., 2011. "Financial literacy around the world: an overview," Journal of Pension Economics and Finance, Cambridge University Press, vol. 10(4), pages 497-508, October.
    17. Lin William Cong & Danxia Xie & Longtian Zhang, 2021. "Knowledge Accumulation, Privacy, and Growth in a Data Economy," Management Science, INFORMS, vol. 67(10), pages 6480-6492, October.
    18. William H. Dow & Edward C. Norton & J. Travis Donahoe, 2019. "Stata tip 134: Multiplicative and marginal interaction effects in nonlinear models," Stata Journal, StataCorp LP, vol. 19(4), pages 1015-1020, December.
    19. Daron Acemoglu & Ali Makhdoumi & Azarakhsh Malekian & Asu Ozdaglar, 2022. "Too Much Data: Prices and Inefficiencies in Data Markets," American Economic Journal: Microeconomics, American Economic Association, vol. 14(4), pages 218-256, November.
    20. Bryan S. Graham, 2015. "Methods of Identification in Social Networks," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 465-485, August.
    21. Charles I. Jones & Christopher Tonetti, 2020. "Nonrivalry and the Economics of Data," American Economic Review, American Economic Association, vol. 110(9), pages 2819-2858, September.
    22. 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.
    23. Tesary Lin, 2022. "Valuing Intrinsic and Instrumental Preferences for Privacy," Marketing Science, INFORMS, vol. 41(4), pages 663-681, July.
    24. Ai, Chunrong & Norton, Edward C., 2003. "Interaction terms in logit and probit models," Economics Letters, Elsevier, vol. 80(1), pages 123-129, July.
    25. Zhuang Liu & Michael Sockin & Wei Xiong, 2023. "Data Privacy and Algorithmic Inequality," NBER Working Papers 31250, National Bureau of Economic Research, Inc.
    26. Rachel Croson & Uri Gneezy, 2009. "Gender Differences in Preferences," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 448-474, June.
    27. Athey, Susan & Catalini, Christian & Tucker, Catherin E., 2017. "The Digital Privacy Paradox: Small Money, Small Costs, Small Talk," Research Papers 3498, Stanford University, Graduate School of Business.
    28. Laura Blattner & Scott Nelson, 2021. "How Costly is Noise? Data and Disparities in Consumer Credit," Papers 2105.07554, arXiv.org.
    29. Erik Brynjolfsson & Avinash Collis & Asad Liaqat & Daley Kutzman & Haritz Garro & Daniel Deisenroth & Nils Wernerfelt & Jae Joon Lee, 2023. "The Digital Welfare of Nations: New Measures of Welfare Gains and Inequality," NBER Working Papers 31670, National Bureau of Economic Research, Inc.
    30. Lex Borghans & Bart H.H. Golsteyn & James J. Heckman & Huub Meijers, 2009. "Gender Differences in Risk Aversion and Ambiguity," Working Papers 200903, Geary Institute, University College Dublin.
    31. Mehmet Canayaz & Ilja Kantorovitch & Roxana Mihet, 2022. "Consumer Privacy and the Value of Consumer Data," Swiss Finance Institute Research Paper Series 22-68, Swiss Finance Institute.
    32. Long Chen & Yadong Huang & Shumiao Ouyang & Wei Xiong, 2021. "The Data Privacy Paradox and Digital Demand," Working Papers 2021-47, Princeton University. Economics Department..
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    More about this item

    Keywords

    data; privacy; CCPA; fintech; big tech; survey of consumer expectations;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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