IDEAS home Printed from https://ideas.repec.org/h/nbr/nberch/14011.html
   My bibliography  Save this book chapter

Privacy, Algorithms, and Artificial Intelligence

In: The Economics of Artificial Intelligence: An Agenda

Author

Listed:
  • Catherine Tucker

Abstract

No abstract is available for this item.

Suggested Citation

  • Catherine Tucker, 2018. "Privacy, Algorithms, and Artificial Intelligence," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 423-437, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberch:14011
    as

    Download full text from publisher

    File URL: http://www.nber.org/chapters/c14011.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bertocchi, Graziella & Dimico, Arcangelo, 2014. "Slavery, education, and inequality," European Economic Review, Elsevier, vol. 70(C), pages 197-209.
    2. 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.
    3. Kenneth L. Sokoloff & Stanley L. Engerman, 2000. "Institutions, Factor Endowments, and Paths of Development in the New World," Journal of Economic Perspectives, American Economic Association, vol. 14(3), pages 217-232, Summer.
    4. Avi Goldfarb & Catherine Tucker, 2012. "Shifts in Privacy Concerns," American Economic Review, American Economic Association, vol. 102(3), pages 349-353, May.
    5. 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.
    6. R. H. Strotz, 1955. "Myopia and Inconsistency in Dynamic Utility Maximization," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 23(3), pages 165-180.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ivy Munoko & Helen L. Brown-Liburd & Miklos Vasarhelyi, 2020. "The Ethical Implications of Using Artificial Intelligence in Auditing," Journal of Business Ethics, Springer, vol. 167(2), pages 209-234, November.
    2. Yiquan Gu & Leonardo Madio & Carlo Reggiani, 2022. "Data brokers co-opetition [The impact of big data on firm performance: an empirical investigation]," Oxford Economic Papers, Oxford University Press, vol. 74(3), pages 820-839.
    3. Shota Ichihashi, 2023. "Dynamic Privacy Choices," American Economic Journal: Microeconomics, American Economic Association, vol. 15(2), pages 1-40, May.
    4. Abrardi, Laura & Cambini, Carlo, 2022. "Carpe Data: Protecting online privacy with naive users," Information Economics and Policy, Elsevier, vol. 60(C).
    5. Thomas Davenport & Abhijit Guha & Dhruv Grewal & Timna Bressgott, 2020. "How artificial intelligence will change the future of marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 24-42, January.

    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. Long Chen & Yadong Huang & Shumiao Ouyang & Wei Xiong, 2021. "The Data Privacy Paradox and Digital Demand," Working Papers 2021-47, Princeton University. Economics Department..
    2. 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.
    3. Mert Demirer & Diego Jimenez-Hernandez & Dean Li & Sida Peng, 2024. "Data, Privacy Laws and Firm Production: Evidence from the GDPR," Working Paper Series WP 2024-02, Federal Reserve Bank of Chicago.
    4. Jiadong Gu, 2024. "Data Trade and Consumer Privacy," Papers 2406.12457, arXiv.org, revised Jul 2024.
    5. Ratul Das Chaudhury & Chongwoo Choe, 2023. "Digital Privacy: GDPR and Its Lessons for Australia," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 56(2), pages 204-220, June.
    6. Tat Chan & Naser Hamdi & Xiang Hui & Zhenling Jiang, 2022. "The Value of Verified Employment Data for Consumer Lending: Evidence from Equifax," Marketing Science, INFORMS, vol. 41(4), pages 795-814, July.
    7. 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.
    8. Cullen, Zoë & Perez-Truglia, Ricardo, 2023. "The salary taboo privacy norms and the diffusion of information," Journal of Public Economics, Elsevier, vol. 222(C).
    9. Bleier, Alexander & Goldfarb, Avi & Tucker, Catherine, 2020. "Consumer privacy and the future of data-based innovation and marketing," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 466-480.
    10. Ginger Zhe Jin, 2018. "Artificial Intelligence and Consumer Privacy," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 439-462, National Bureau of Economic Research, Inc.
    11. Jin, Ginger Zhe & Wagman, Liad, 2021. "Big data at the crossroads of antitrust and consumer protection," Information Economics and Policy, Elsevier, vol. 54(C).
    12. Michiel Bijlsma & Carin van der Cruijsen & Nicole Jonker, 2024. "Not all data are created equal - Data sharing and privacy," Applied Economics, Taylor & Francis Journals, vol. 56(11), pages 1250-1267, March.
    13. Hemant K. Bhargava & Olivier Rubel & Elizabeth J. Altman & Ramnik Arora & Jörn Boehnke & Kaitlin Daniels & Timothy Derdenger & Bryan Kirschner & Darin LaFramboise & Pantelis Loupos & Geoffrey Parker &, 2020. "Platform data strategy," Marketing Letters, Springer, vol. 31(4), pages 323-334, December.
    14. Bertocchi, Graziella & Dimico, Arcangelo, 2014. "Slavery, education, and inequality," European Economic Review, Elsevier, vol. 70(C), pages 197-209.
    15. Christa N. Gibbs & Benedict Guttman-Kenney & Donghoon Lee & Scott Nelson & Wilbert Van der Klaauw & Jialan Wang, 2024. "Consumer Credit Reporting Data," Staff Reports 1114, Federal Reserve Bank of New York.
    16. Dengler, Sebastian & Prüfer, Jens, 2021. "Consumers' privacy choices in the era of big data," Games and Economic Behavior, Elsevier, vol. 130(C), pages 499-520.
    17. Yuteng Cheng & Ryuichiro Izumi, 2023. "CBDC: Banking and Anonymity," Wesleyan Economics Working Papers 2023-002, Wesleyan University, Department of Economics.
    18. Catherine E. Tucker, 2023. "The Economics of Privacy: An Agenda," NBER Chapters, in: The Economics of Privacy, National Bureau of Economic Research, Inc.
    19. Clavorà Braulin, Francesco, 2021. "The effects of personal information on competition: Consumer privacy and partial price discrimination," ZEW Discussion Papers 21-007, ZEW - Leibniz Centre for European Economic Research.
    20. Frank Ebbers & Jan Zibuschka & Christian Zimmermann & Oliver Hinz, 2021. "User preferences for privacy features in digital assistants," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 411-426, June.

    More about this item

    Statistics

    Access and download statistics

    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:nbr:nberch:14011. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    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.