IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v198y2021ics0165176520304365.html
   My bibliography  Save this article

Privacy, adoption, and truthful reporting: A simple theory of contact tracing applications

Author

Listed:
  • de Montjoye, Yves-Alexandre
  • Ramadorai, Tarun
  • Valletti, Tommaso
  • Walther, Ansgar

Abstract

This paper analyzes the trade-offs associated with the deployment of contact tracing applications to support policy responses in a pandemic. In many jurisdictions, the government cannot force individuals to adopt such applications. We therefore analyze a simple model that highlights the importance of individuals’ incentives to voluntarily adopt a reporting application and reveal their infection status to the government who can then undertake contact monitoring. We discuss the consequences of various policy options, such as security, communication and anonymization policies, in terms of the size and representativeness of the sample of infection data that contract tracing applications generate.

Suggested Citation

  • de Montjoye, Yves-Alexandre & Ramadorai, Tarun & Valletti, Tommaso & Walther, Ansgar, 2021. "Privacy, adoption, and truthful reporting: A simple theory of contact tracing applications," Economics Letters, Elsevier, vol. 198(C).
    • Handle: RePEc:eee:ecolet:v:198:y:2021:i:c:s0165176520304365
    DOI: 10.1016/j.econlet.2020.109676
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176520304365
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econlet.2020.109676?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Avi Goldfarb & Catherine Tucker, 2011. "Online Display Advertising: Targeting and Obtrusiveness," Marketing Science, INFORMS, vol. 30(3), pages 389-404, 05-06.
    2. Martin S Eichenbaum & Sergio Rebelo & Mathias Trabandt, 2021. "The Macroeconomics of Epidemics [Economic activity and the spread of viral diseases: Evidence from high frequency data]," Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5149-5187.
    3. James H. Stock, 2020. "Data Gaps and the Policy Response to the Novel Coronavirus," NBER Working Papers 26902, National Bureau of Economic Research, Inc.
    4. David Berger & Kyle Herkenhoff & Chengdai Huang & Simon Mongey, 2022. "Testing and Reopening in an SEIR Model," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 43, pages 1-21, January.
    5. Avi Goldfarb & Catherine Tucker, 2011. "Rejoinder--Implications of "Online Display Advertising: Targeting and Obtrusiveness"," Marketing Science, INFORMS, vol. 30(3), pages 413-415, 05-06.
    6. Andrew Atkeson, 2020. "What Will be the Economic Impact of COVID-19 in the US? Rough Estimates of Disease Scenarios," Staff Report 595, Federal Reserve Bank of Minneapolis.
    7. Hal R. Varian, 2010. "Computer Mediated Transactions," American Economic Review, American Economic Association, vol. 100(2), pages 1-10, May.
    8. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2012. "Salience in Experimental Tests of the Endowment Effect," American Economic Review, American Economic Association, vol. 102(3), pages 47-52, May.
    9. David Berger & Kyle Herkenhoff & Chengdai Huang & Simon Mongey, 2022. "Testing and Reopening in an SEIR Model," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 43, pages 1-21, January.
    10. Avi Goldfarb & Catherine Tucker, 2012. "Shifts in Privacy Concerns," American Economic Review, American Economic Association, vol. 102(3), pages 349-353, May.
    Full references (including those not matched with items on IDEAS)

    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. Garriga, Carlos & Manuelli, Rody & Sanghi, Siddhartha, 2022. "Optimal management of an epidemic: Lockdown, vaccine and value of life," Journal of Economic Dynamics and Control, Elsevier, vol. 140(C).
    2. Cem Çakmaklı & Selva Demiralp & Ṣebnem Kalemli-Özcan & Sevcan Yesiltas & Muhammed A. Yildirim, 2020. "COVID-19 and Emerging Markets: A SIR Model, Demand Shocks and Capital Flows," NBER Working Papers 27191, National Bureau of Economic Research, Inc.
    3. Andreas Hornstein, 2020. "Social Distancing, Quarantine, Contact Tracing, and Testing: Implications of an Augmented SEIR Model," Working Paper 20-04, Federal Reserve Bank of Richmond.
    4. Santiago Forero-Alvarado & Nicolás Moreno-Arias & Juan J. Ospina-Tejeiro, 2021. "Humans Against Virus or Humans Against Humans: A Game Theory Approach to the COVID-19 Pandemic," Borradores de Economia 1160, Banco de la Republica de Colombia.
    5. Guimarães, Luís, 2021. "Antibody tests: They are more important than we thought," Journal of Mathematical Economics, Elsevier, vol. 93(C).
    6. Eichenbaum, Martin S. & Rebelo, Sergio & Trabandt, Mathias, 2022. "The macroeconomics of testing and quarantining," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
    7. Łukasz Rachel, 2020. "An Analytical Model of Covid-19 Lockdowns," Discussion Papers 2029, Centre for Macroeconomics (CFM).
    8. Christopher Cotton & Bahman Kashi & Huw Lloyd‐Ellis & Frederic Tremblay & Brett Crowley, 2022. "Quantifying the economic impacts of COVID‐19 policy responses on Canada's provinces in (almost) real time," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 406-445, February.
    9. Holtemöller, Oliver, 2020. "Integrated assessment of epidemic and economic dynamics," IWH Discussion Papers 4/2020, Halle Institute for Economic Research (IWH).
    10. Béland, Louis-Philippe & Brodeur, Abel & Wright, Taylor, 2020. "The Short-Term Economic Consequences of COVID-19: Exposure to Disease, Remote Work and Government Response," GLO Discussion Paper Series 524, Global Labor Organization (GLO).
    11. Blas A. Marin-Lopez & David Jimenez-Gomez & José-María Abellán-Perpiñán, 2022. "Behavioral Economics in the Epidemiology of the COVID-19 Pandemic: Theory and Simulations," IJERPH, MDPI, vol. 19(15), pages 1-23, August.
    12. Giagheddu, Marta & Papetti, Andrea, 2023. "The macroeconomics of age-varying epidemics," European Economic Review, Elsevier, vol. 151(C).
    13. Charles A.E. Goodhart & Dimitrios P. Tsomocos & Xuan Wang, 2023. "Support for small businesses amid COVID‐19," Economica, London School of Economics and Political Science, vol. 90(358), pages 612-652, April.
    14. Xiao Chen & Hanwei Huang & Jiandong Ju & Ruoyan Sun & Jialiang Zhang, 2022. "Endogenous cross-region human mobility and pandemics," CEP Discussion Papers dp1860, Centre for Economic Performance, LSE.
    15. Hortaçsu, Ali & Liu, Jiarui & Schwieg, Timothy, 2021. "Estimating the fraction of unreported infections in epidemics with a known epicenter: An application to COVID-19," Journal of Econometrics, Elsevier, vol. 220(1), pages 106-129.
    16. Joshua Bernstein & Alexander W. Richter & Nathaniel A. Throckmorton, 2020. "COVID-19: A View from the Labor Market," Working Papers 2010, Federal Reserve Bank of Dallas.
    17. Alexander Chudik & M. Hashem Pesaran & Alessandro Rebucci, 2020. "Voluntary and Mandatory Social Distancing: Evidence on COVID-19 Exposure Rates from Chinese Provinces and Selected Countries," Globalization Institute Working Papers 382, Federal Reserve Bank of Dallas.
    18. Hinterlang, Natascha & Moyen, Stephane & Röhe, Oke & Stähler, Nikolai, 2023. "Gauging the effects of the German COVID-19 fiscal stimulus package," European Economic Review, Elsevier, vol. 154(C).
    19. Lin William Cong & Ke Tang & Bing Wang & Jingyuan Wang, 2021. "An AI-assisted Economic Model of Endogenous Mobility and Infectious Diseases: The Case of COVID-19 in the United States," Papers 2109.10009, arXiv.org.
    20. Dirk Krueger & Harald Uhlig & Taojun Xie, 2020. "Macroeconomic Dynamics and Reallocation in an Epidemic," PIER Working Paper Archive 20-015, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.

    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:eee:ecolet:v:198:y:2021:i:c:s0165176520304365. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.