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    • Jonathan A. Libgober

      Assistant Professor of Economics, University of Southern California

      Welcome to my website!

       

      I am an economist studying information economics and mechanism design. I am interested in both pure theory and applied questions.

       

      I received my PhD in Economics from Harvard in May 2018. I have been at USC since the start of 2019.

       

      References:

      Drew Fudenberg, Eric Maskin, Jerry Green, Ben Golub

    • Download CV

      Contact me for more info. (Last update: October 23rd, 2019)

    • About Me

      Information Economics, Pure and Applied

      I am a theorist who settings where the acquisition, transmission or dynamics of information play a major role. I am particularly interested in questions related to the design of optimal policies in these situations.

       

      I have studied pricing with consumer learning, researcher incentives, and biases in dynamic belief updating.

    • Working Papers

      Informational Robustness in Intertemporal Pricing

      with Xiaosheng Mu (January 2019) R&R @ ReStud

      Constant price paths deliver the optimal profit guarantee when a seller does not know how buyers learn about a product.

      False Positives and Transparency

      (July 2019) R&R @ AEJ: Micro

      Lack of transparency over research methods can induce biased claims. But it also creates an incentive to counteract the de-biasing of that research.

      Machine Learning for Strategic Inference in a Simple Dynamic Game

      with In-Koo Cho (Available upon Request)

      In a simple buyer-seller game, we exhibit an algorithm which ensures that agents play a Bayesian best reply (approximately).

      How Can Research Registries be Improved? An Examination of the AEA RCT Registry

      with Eliot Abrams and John List (Available upon request)

      We empirically study pre-registration patterns in economics and discuss the implications of policies on the timing of registration.

      Retractions

      with Duarte Gonçalves and Jack Willis (In Progress, presentation slides available upon request)

      We experimentally document the distinct ways in which retractions of information influence beliefs.

    • Education

      Harvard University

      Ph.D. (2012-2018)

      Thesis Title: Information and Learning in Mechanism Design

       

      M.A. awarded 2014, field exams in Microeconomic Theory and Industrial Organization

      University of Chicago

      Undergraduate (2008-2012)

      S.B. in Mathematics (Departmental Honors, Paul R. Cohen award for top 5 record among seniors)

      A.B. in Economics (Departmental Honors, David S. Hu award for coursework and thesis)

      A.B. in Statistics

      Phi Beta Kappa

    © 2019

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