Tesary Lin

Isabel Anderson Career Development Professor Assistant Professor, Marketing

My research focuses on how information and data moderate the relationship between firms and consumers. I am particularly interested in consumer privacy preferences, the impact of privacy policies, and analytics tools that adapt to the modern information environment.

    Education
  • PhD, University of Chicago, 2020
    Publications
  • Lin, T. (2022). "Valuing Intrinsic and Instrumental Preferences for Privacy", Marketing Science, 41 (4), 663-869
  • Lin, T., Misra, S. (2022). "Frontiers: The Identity Fragmentation Bias", Marketing Science, 41 (3), 433-440
  • Lin, X. (2021). "Shiny App: Demo for Identity Fragmentation Bias",
    Research Presentations
  • Lin, X. Understanding Data Selection Bias in Consent-Based Privacy Regulatory Regimes, MSI-Brookings Institution Workshop: Intended and Unintended Effects of Privacy Regulations on Marketing, The Brookings Institution, 2023
  • Lin, X. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, Boston College, 2023
  • Lin, X. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, Korea Advanced Institute of Science & Technology, 2023
  • Lin, X. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, Research on Tap, Boston University, 2023
  • Farronato, C. , Lin, X. Data Sharing and Website Competition: The Role of Dark Patterns, INFORMS Annual MeetingORMS, 2023
  • Lin, X. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, Microsoft Research New England, 2023
  • Lin, X. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, Workshop on Data, Markets, and Privacy, Johns Hopkins University, 2023
  • Lin, X. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, Dartmouth College, 2023
  • Strulov-Shlain, A. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, NBER Summer Institute - Digital Economics and Artificial Intellegence, 2023
  • Lin, X. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, Platform Strategy Research Symposium, Boston University, 2023
  • Strulov-Shlain, A. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, ACM Conference on Economics and Computation, 2023
  • Lin, X. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, ZEW Conference on the Economics of Information and Communication Technologies, ZEW, 2023
  • Lin, X. COPPAcalypse? The Impact of YouTube-FTC Settlement on Kids Content, Economics of Advertising and Marketing Workshop, Sofia University, 2023
  • Lin, X. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, Workshop on Security and Human Behavior, Carnegie Mellon University, 2023
  • Strulov-Shlain, A. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, Yale Customer Insights Conference, Yale University, 2023
  • Lin, X. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, Faculty Development Forum in Marketing Science, Washington University St. Louis, 2023
  • Lin, X. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, NBER Conference: Data Privacy Protection and the Conduct of Applied Research, NBER, 2023
  • Lin, X. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, Morrison Center Winter Marketing Seminar, UCLA, 2023
  • Lin, X. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, Paul E. Green Marketing Camp, University of Pensylvania, 2023
  • Lin, X. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, Chinese University of Hong Kong (Shenzhen Campus), 2023
  • Lin, X. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, Carnegie Mellon University (Heinz), 2022
  • Lin, X. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, Carnegie Mellon University (Tepper), 2022
  • Lin, X. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, Conference on Digital Experimentation, MIT, 2022
  • Lin, X. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, University of Rochester, 2022
  • Lin, X. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, Boston University Tech Policy Institute, 2022
  • Johnson, G. COPPAcalypse? The YouTube settlement’s impact on kids content creation, U Penn Economics and Digital Services Research Symposium, 2022
  • Lin, X. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, Virtual Digital Economy Seminar, 2022
  • Lin, X. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, Marketing Science Conference, 2022
  • Shlain, A. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, Advances with Field Experiments Conference, Chicago, 2022
  • Lin, X. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, Harvard Business School, 2022
  • Lin, X. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, Singapore Management University, 2022
  • Lin, X. Choice Architecture, Privacy Valuations, and Selection in Consumer Data, Fuqua School of Business, Duke University, 2022
  • Lin, X. Humans in the Data Loop: Valuing Consumer Data in Digital Advertising, Marketing Science, Zoom, 2021
  • Lin, X. Valuing Intrinsic and Instrumental Preferences for Privacy, Ribstein Law and Economics Workshop, George Mason University, 2021
  • Lin, X. Valuing Intrinsic and Instrumental Preferences for Privacy, TSE Digital Economics Conference, Zoom, 2021
    Awards and Honors
  • 2023, Alessandro di Fiore Best Paper Award
  • 2023, John D.C. Little Award for best paper in Marketing Science or Management Science
  • 2023, Proceedings of the 24rd ACM Conference on Economics and Computation Exemplary track paper
  • 2022, Boston University Hariri Institute Junior Faculty Fellow
  • 2022, Isabel Anderson Career Development Professorship
  • 2020, Sheth Foundation ISMS Doctoral Dissertation Award
  • 2019, Clayton Doctoral Dissertation Proposal Competition Award