Eric H. Schulman
Eric H. Schulman
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Ph.D., Economics, The University of Texas at Austin, 2017-2022
M.A., Economics, The University of Texas at Austin, 2017-2019
B.A. (Cum Laude), Economics, Cornell University, 2013-2017
B.S., Computer Science, Cornell University, 2013-2017
Applied econometrics, Machine learning, Health policy, Public economics, Industrial organization
"Shapes as Product Differentiation: Neural Network Embedding in the Analysis of Markets for Fonts" with Sukjin Han, Kristen Grauman, and Santhosh Ramakrishnan (Revise and Resubmit RAND Journal of Economics)
"Uniformly Valid Model Selection with the Bootstrap" (Under Review)
"Testable Implications of Timing and Beliefs in Healthcare Bargaining" with David S. Sibley
"Tracking the Incidence of Medicare Advantage Payments" with Jared Lane Maeda
"Bad Controls and Double Machine Learning: Estimates from Drug Utilization after the Medicaid Expansion" with Christopher P. Adams and Anthony Montano
"Tracking Expired and Expiring Authorizations of Appropriations (EEAA) with Artificial Intelligence"
ASHEcon, June 2026
IQVIA Institute Research Forum, September 2025
ASHEcon, June 2025
Cornerstone Research/University of Maryland IO day, May 2024 (discussant)
Annual Health Econometrics Workshop, October 2023
American Statistical Association Joint Statistical Meetings, August 2022
North American Winter Meetings of the Econometrics Society, January 2021
European Winter Meetings of the Econometrics Society, December 2020
KER International Conference, August 2020
Texas Econometrics Camp, February 2020
CBO Blog: Upcoming Presentations by Staff and Affiliates of CBO's Health Analysis Division, June 2026
CBO code release: Medicare Advantage Public Data Cleaning, February 2026
CBO code release: Medicare Advantage Encounter Data Cleaning, February 2026
CBO Blog: Upcoming Presentations by Staff and Affiliates of CBO's Health Analysis Division, June 2025
Congressional Data Task Force (CDTF): CBO Update, December 2024
The University of Texas at Austin
Econometrics I (Ph.D. course), Prof. Stephen G. Donald, Fall 2019; Fall 2020; Fall 2021
Business Strategy, Prof. David Sibley, Spring 2018; Spring 2021
Introduction to Econometrics, Prof. Brendan Kline and Prof. Sukjin Han, Spring 2020
Advanced Econometrics, Prof. Sukjin Han, Fall 2018
CBO Assistant Analyst Program, 2022-present
AEA Summer Program Interns, 2023-present
UT Austin Economics Undergraduate Research Fellowship, 2020-2022
Selected placements: Stanford predoctoral fellowship; Duke Economics Ph.D. and NSF Graduate Research Fellowship; UC Irvine Economics Ph.D.
Graduate Teaching Fellowship, The University of Texas at Austin, 2017 - 2022
Undergraduate Research Assistant Funding, The University of Texas at Austin, 2020 - 2022
Summer Institute in Machine Learning in Economics (inaugural class), The University of Chicago, 2021
Professional Development Award, The University of Texas at Austin, 2020
Economist, Congressional Budget Office, 2022 - Present
Research Assistant for Sukjin Han and Kristen Grauman, The University of Texas at Austin, 2018 - 2021
Research Assistant for David Sibley, The University of Texas at Austin, 2018 - 2021
Research Associate, Enterra Solutions LLC, 2017
Revenue Management Analyst Intern, Accenture PLC, 2014 - 2016