Shoshana Vasserman

Shoshana Vasserman
Assistant Professor, Economics
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Research Statement

Shoshana Vassermans’s work leverages theory, empirics, and modern computation to better understand the equilibrium implications of policies and proposals that involve information revelation, risk sharing, and commitment. Recent projects span a number of policy settings, including public procurement, pharmaceutical pricing, and auto-insurance.

Research Interests

  • Industrial Organization
  • Applied Microeconomics

Academic Degrees

  • PhD in Economics, Harvard University, 2019
  • AM in Economics, Harvard University, 2016
  • BS in Mathematics and Economics, MIT, 2013

Academic Appointments

  • Assistant Professor, Stanford Graduate School of Business, 2020–present
  • Postdoctoral Fellow, Stanford Institute for Economic Policy Research, 2019–2020

Awards and Honors

  • Padma Desai Dissertation Prize in Economics, Harvard University, 2019


Journal Articles

Shoshana Vasserman, Muhamet Yildiz. The RAND Journal of Economics. August 2018, Vol. 50, Issue 2, Pages 359–390.

Other Publications

Shoshana Vasserman, Michal Feldman, Avinatan Hassidim. Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. July 2015, Vol. 24.

Working Papers

Socioeconomic Network Heterogeneity and Pandemic Policy Response | PDF
Mohammad Akbarpour, Cody Cook, Aude Marzuoli, Simon Mongey, Abhishek Nagaraj, Matteo Saccarola, Pietro Tebaldi, Shoshana Vasserman, Hanbin Yang, June 2020
Buying Data from Consumers | PDF
Yizhou Jin, Shoshana Vasserman, April 2020
Voluntary Disclosure and Personalized Pricing | PDF
S. Nageeb Ali, Greg Lewis, Shoshana Vasserman, December 2019
Scaling Auctions as Insurance: A Case Study in Infrastructure Procurement | PDF
Valentin Bolotnyy, Shoshana Vasserman, September 2019
Bargaining and International Reference Pricing in the Pharmaceutical Industry | PDF
Pierre Dubois, Ashvin Gandhi, Shoshana Vasserman, May 2019

Insights by Stanford Business

September 1, 2020
A new computer model developed by Stanford researchers could help policymakers choose the right reopening strategy.