I am currently a research economist at the Center for Enterprise Dissemination - Disclosure Avoidance (CED-DA), Research and Applications Group at the U.S. Census Bureau*.
Our work aims to modernize legacy statistical disclosure methods using formal privacy frameworks, such as differential privacy.
My research interests include how differential privacy and other noise-injection methods affect downstream inference for estimators that are widely used by econometricians (e.g., OLS, 2SLS, and GMM) and how these methods can be used to protect training data participation and reconstruction in classification algorithms.
I received my Ph.D. in Economics in 2022 at the University of Iowa, where I specialized in econometrics and empirical industrial organization. My dissertation examined identification and estimation of production functions with unobserved heterogeneity.
*Any views expressed are my own and do not necessarily reflect those of the U.S. Census Bureau
Ph.D. in Economics, 2022
University of Iowa
MA in Economics, 2018
University of Iowa
BA in Economics. Minor in Mathematics, 2016
California State University, Fullerton
Slowly Scaling Per-Record Differential Privacy (with Brian Finley, Anthony Caruso, Ashwin Machanavajjhala, Mikaela Meyer, David Pujol, William Sexton, and Zachary Terner)
A Dynamic Framework for Identification and Estimation of Nonseparable Production Functions
(Job Market Paper)
Estimating Quantile Production Functions: A Control Function Approach (with Suyong Song)
(Under Review)
Multinomial Randomized Response for Data Sharing (with Caleb Floyd and Rolando Rodriguez)
Identification of Gross-Output Production Functions with Mismeasured Inputs
Estimating Industry Competitor Network Effects on Firm-Level Productivity
Lecturer
Teaching Assistant
Grader
© Justin Doty 2025 · Powered by the Academic theme for Hugo.