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Does Reluctance to Share Personal Data Reduce Citizen Demand for Personalized Services? Evidence from a Survey Experiment

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  • Aguirre De Mora, Florencia
  • Roseth, Benjamin
  • Santamaria, Julieth

Abstract

Two seemingly contradictory trends have accompanied the rise of digital transformation: a demand for better and more customized services, which require the use of personal data, and a concern for data protection. How do we reconcile these divergent trends? The answer to this question may influence not only the design of personalized services but also the strategies for their widespread adoption. This study explores how to mitigate the impact of citizens reluctance to share data on the uptake of personalized public services. Through a survey experiment, we offered two hypothetical personalized services: one educational service (a scholarship) and one health-related service (a checkup). Each respondent was randomly assigned to one of three possible intervention groups, receiving different types of information: (i) a summary outlining the service benefits; (ii) details on benefits with a data usage disclosure; and (iii) a data usage disclosure. The findings reveal that citizens exhibit a strong baseline interest in personalized services. However, a requirement to share personal data had an adverse impact on interest in both the educational and health-related services, resulting in declines of 2.6 to 3.0 percentage points. There are indications that the decrease in interest may be more pronounced for the health service. Providing detailed service descriptions increased interest by 4.5 and 5.5 percentage points for education and health services, respectively. This suggests that offering information about the benefits of the service can offset concerns about data privacy. These effects remained consistent among different population groups.

Suggested Citation

  • Aguirre De Mora, Florencia & Roseth, Benjamin & Santamaria, Julieth, 2024. "Does Reluctance to Share Personal Data Reduce Citizen Demand for Personalized Services? Evidence from a Survey Experiment," IDB Publications (Working Papers) 13565, Inter-American Development Bank.
    • Handle: RePEc:idb:brikps:13565
    DOI: http://dx.doi.org/10.18235/0012990
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    References listed on IDEAS

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    1. Tamara Dinev & Massimo Bellotto & Paul Hart & Vincenzo Russo & Ilaria Serra & Christian Colautti, 2006. "Privacy calculus model in e-commerce – a study of Italy and the United States," European Journal of Information Systems, Taylor & Francis Journals, vol. 15(4), pages 389-402, August.
    2. Beresford, Alastair R. & Kübler, Dorothea & Preibusch, Sören, 2012. "Unwillingness to pay for privacy: A field experiment," Economics Letters, Elsevier, vol. 117(1), pages 25-27.
    3. -, 2022. "Capital flows to Latin America and the Caribbean: A slowdown in 2022," Oficina de la CEPAL en Washington (Estudios e Investigaciones) 48572, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    4. 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.
    5. Phillip Keefer & Carlos Scartascini, 2022. "Trust, Social Cohesion, and Growth in Latin America and the Caribbean," IDB Publications (Book Chapters), in: Phillip Keefer & Carlos Scartascini (ed.), Trust: The Key to Social Cohesion and Growth in Latin America and the Caribbean, edition 1, chapter 1, pages 1-26, Inter-American Development Bank.
    6. -, 2022. "Foreign Direct Investment in Latin America and the Caribbean 2022," La Inversión Extranjera Directa en América Latina y el Caribe, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 48521 edited by Eclac, May.
    7. Avi Goldfarb & Verina F. Que, 2023. "The Economics of Digital Privacy," Annual Review of Economics, Annual Reviews, vol. 15(1), pages 267-286, September.
    8. Martínez Villarreal, Déborah & Parilli, Cristina & Rojas Méndez, Ana María & Scartascini, Carlos & Simpser, Alberto, 2021. "Do You Have COVID-19?: How to Increase the Use of Diagnostic and Contact-Tracing Apps," IDB Publications (Working Papers) 11121, Inter-American Development Bank.
    9. 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.
    10. Phillip Keefer & Carlos Scartascini, 2022. "Trust, Social Cohesion, and Growth in Latin America and the Caribbean," IDB Publications (Book Chapters), in: Phillip Keefer & Carlos Scartascini (ed.), Trust: The Key to Social Cohesion and Growth in Latin America and the Caribbean, edition 1, chapter 1, pages 1-26, Inter-American Development Bank.
    11. Susan Athey & Christian Catalini & Catherine Tucker, 2017. "The Digital Privacy Paradox: Small Money, Small Costs, Small Talk," NBER Working Papers 23488, National Bureau of Economic Research, Inc.
    12. Gallegos, Sebastian & Roseth, Benjamin & Cuesta, Ana & Sánchez, Mario, 2023. "Increasing the take-up of public health services: An at-scale experiment on digital government," Journal of Public Economics, Elsevier, vol. 227(C).
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    More about this item

    Keywords

    data protection; personal data; government services; citizen preferences;
    All these keywords.

    JEL classification:

    • D78 - Microeconomics - - Analysis of Collective Decision-Making - - - Positive Analysis of Policy Formulation and Implementation
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • H83 - Public Economics - - Miscellaneous Issues - - - Public Administration

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