Khai X. Chiong

Khai X. Chiong

Assistant Professor of Marketing

University of Texas at Dallas

About

I am an Assistant Professor (Associate Professor starting Fall 2026) in the Marketing Area at the Jindal School of Management at the University of Texas at Dallas. I am based in the Dallas-Fort Worth metroplex. My research has been published in top journals in economics and marketing, with awards such as the American Marketing Association’s AI SIG Award for Best AI in Marketing Paper Published in 2024.

Education

Ph.D. in Economics

2010–2015

California Institute of Technology, Pasadena, CA

B.A. in Economics

2007–2010

University of Cambridge, Cambridge, UK

Research Interests

Quantitative Marketing Machine Learning Econometrics Networks Empirical Industrial Organization
Publications
(2016). Duality in Dynamic Discrete Choice Models. Quantitative Economics, 7(1): 83–115.
(2018). Estimation of Graphical Models using the ℓ₁,₂ Norm. Econometrics Journal, 21(3): 247–263.
(2019). Random Projection Estimation of Discrete-Choice Models with Large Choice Sets. Management Science, 65(1): 256–271.
(2021). Estimation of High‑Dimensional Seemingly Unrelated Regression Models. Econometric Reviews, 40(9): 830–851.
(2024). Combining Choices and Response Times in the Field: A Drift‑Diffusion Model of Mobile Advertisements. Management Science, 70(2).
(2025). Can AI and AI‑Hybrids Detect Persuasion Skills? Salesforce Hiring with Conversational Video Interviews. Marketing Science, 44(1): 30–53.
(2026). Mass Shootings and Their Impact on Retail. Marketing Science, forthcoming.
(2026). Getting the Most Out of Online A/B Tests Using the Minimax-Regret Criteria. Management Science, forthcoming.
(2026). Stability of Procurement Networks. Manufacturing & Service Operations Management (M&SOM), forthcoming.
(2021). Counterfactual Estimation in Semiparametric Discrete‑Choice Models. Book chapter (Empirical Microeconomics Handbook, 2021).
(2026). Generative AI and Job Satisfaction: Evidence from Glassdoor Employee Reviews. Working paper; invited revision at Journal of Marketing Research.
Teaching