Susana Vasserman
Assistant Professor of Economics at the Graduate School of Business and Center Fellow at the Stanford Institute for Economic Policy Research
Bio
I am an academic economist specializing in industrial organization.
My work leverages theory, empirics and modern computation to better understand the equilibrium implications of policies and proposals involving information revelation, risk sharing and commitment. My projects span a number of policy settings, including public procurement, pharmaceutical pricing and auto-insurance.
Academic Appointments
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Assistant Professor, Economics
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Center Fellow, Stanford Institute for Economic Policy Research (SIEPR)
Professional Education
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S.B., Massachusetts Institute of Technology, Mathematics; Economics (2013)
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Ph.D, Harvard University, Economics (2019)
2024-25 Courses
- Industrial Organization III
ECON 260 (Spr) - Research Fellows Practicum
GSBGEN 697 (Aut, Win, Spr, Sum) -
Independent Studies (4)
- Doctoral Practicum in Research
MGTECON 699 (Aut, Win, Spr, Sum) - Doctoral Practicum in Teaching
MGTECON 698 (Aut, Win, Spr, Sum) - Individual Research
GSBGEN 390 (Aut, Win, Spr) - PhD Directed Reading
ACCT 691, FINANCE 691, MGTECON 691, MKTG 691, OB 691, OIT 691, POLECON 691 (Aut, Win, Spr, Sum)
- Doctoral Practicum in Research
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Prior Year Courses
2023-24 Courses
- Industrial Organization III
ECON 260 (Spr) - Research Fellows Practicum
GSBGEN 697 (Aut, Win, Spr, Sum)
2022-23 Courses
- Data and Decisions - Base (Flipped Classroom)
OIT 274 (Win) - Industrial Organization III
ECON 260 (Spr) - Research Fellows Practicum
GSBGEN 697 (Aut, Win, Spr)
2021-22 Courses
- Data and Decisions - Base (Flipped Classroom)
OIT 274 (Win) - Industrial Organization III
ECON 260 (Spr)
- Industrial Organization III
All Publications
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Scaling Auctions as Insurance: A Case Study in Infrastructure Procurement
ECONOMETRICA
2023; 91 (4): 1205-1259
View details for DOI 10.3982/ECTA17673
View details for Web of Science ID 001041297000002
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Voluntary Disclosure and Personalized Pricing
REVIEW OF ECONOMIC STUDIES
2022
View details for DOI 10.1093/restud/rdac033
View details for Web of Science ID 000833565300001
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Risk aversion and auction design: Theoretical and empirical evidence
INTERNATIONAL JOURNAL OF INDUSTRIAL ORGANIZATION
2021; 79
View details for DOI 10.1016/j.ijindorg.2021.102758
View details for Web of Science ID 000754857400011
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A method for measuring investigative journalism in local newspapers.
Proceedings of the National Academy of Sciences of the United States of America
2021; 118 (30)
Abstract
Major changes to the operation of local newsrooms-ownership restructuring, layoffs, and a reorientation away from print advertising-have become commonplace in the last few decades. However, there have been few systematic attempts to characterize the impact of these changes on the types of reporting that local newsrooms produce. In this paper, we propose a method to measure the investigative content of news articles based on article text and influence on subsequent articles. We use our method to examine over-time and cross-sectional patterns in news production by local newspapers in the United States over the past decade. We find surprising stability in the quantity of investigative articles produced over most of the time period examined, but a notable decline in the last 2 y of the decade, corresponding to a recent wave of newsroom layoffs.
View details for DOI 10.1073/pnas.2105155118
View details for PubMedID 34282020
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Pretrial negotiations under optimism
RAND JOURNAL OF ECONOMICS
2019; 50 (2): 359–90
View details for DOI 10.1111/1756-2171.12273
View details for Web of Science ID 000466025400005
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Implementing the Wisdom of Waze
IJCAI-INT JOINT CONF ARTIF INTELL. 2015: 660–66
View details for Web of Science ID 000442637800092