Khai X. Chiong
Assistant Professor
Naveen Jindal School of Management
University of Texas at Dallas
I am an assistant professor at the Naveen Jindal School of Management (Marketing Area) at the University of Texas at Dallas. My research areas are Quantitative Marketing, Machine Learning, Econometrics, Networks, and Empirical Industrial Organization.
​
I obtained my Ph.D. in Economics from the California Institute of Technology (Caltech), and my undergraduate degree from the University of Cambridge.
Contact me at: khai.chiong@utdallas.edu
PUBLICATIONS
Duality in Dynamic Discrete Choice Models
Quantitative Economics, Volume 7, Issue 1, pages 83–115, March 2016
Khai Chiong, Alfred Galichon, Matt Shum
Estimation of Graphical Models using the L norm
1,2
Econometrics Journal, Volume 21, Issue 3, pages 247-263, October 2018
Khai Chiong and Roger Moon
Random Projection Estimation of Discrete-Choice Models with Large Choice Sets
Management Science, Volume 65, No. 1, pp. 256–271, January 2019
Khai Chiong and Matt Shum
Estimation of High-Dimensional Seemingly Unrelated Regression Models
Econometric Reviews, Volume 40, Issue 9, pages 830-851, August 2021
Lidan Tan, Khai Chiong, Roger Moon
Counterfactual Estimation in Semiparametric Discrete-Choice Models
(with Yu-Wei Hsieh, Matt Shum)
Handbook of Research Methods and Applications in Empirical Microeconomics,
Edward Elgar Publishers, 2021
Combining Choices and Response Times in the Field: A Drift-Diffusion Model of Mobile Advertisements ​
Management Science, Volume 70, No. 2, February 2024
Khai Chiong, Matt Shum, Ryan Webb, Richard Chen
Can AI and AI-Hybrids Detect Persuasion Skills? Salesforce Hiring with Conversational Video Interviews
Marketing Science, Vol. 44, Issue 1, January 2025, pp. 30-53
Ishita Chakraborty, Khai Chiong, Howard Dover, K. Sudhir
​
-
​AMA AI SIG Award for Best AI in Marketing Paper Published in 2024
​​
​
​​
Mass Shootings and Their Impact on Retail
(with Simon Kim and TI Kim)
Forthcoming at Marketing Science
​​
Getting the Most Out of A/B Tests Using the Asymptotic Minimax-Regret Criteria
(with Joonhwi Joo as the lead author)
Accepted at Management Science
​​​
SELECTED RESEARCH IN PROGRESS
Learning Heterogeneity from Unstructured Data: An Application to Chatbot Morphing
(with Ryan Dew)