I am an Assistant Professor in the Naveen Jindal School of Management (Marketing Area), at the University of Texas at Dallas. My research areas are Econometrics, Machine Learning, Quantitative Marketing, 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


 1.   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 

 2.    Estimation of Graphical Models using the L    norm


Econometrics Journal, Volume 21, Issue 3, pages 247-263, October 2018

Khai Chiong and Roger Moon

 3.   Duality in Dynamic Discrete Choice Models
Quantitative Economics, Volume 7, Issue 1, pages 83–115, March 2016 
Khai Chiong, Alfred Galichon, Matt Shum

4.   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

5.   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   (with Ryan Webb, Matt Shum, and Richard Chen)

       Minor Revision at Management Science

  • An Empirical Investigation of Incentivized Advertising in Mobile Advertising

       (with Richard Chen and Sha Yang)​

  • An Empirical Model of Mobile Advertising Platforms 

(with Richard Chen)

  • On the Consistency of Network Data with Pairwise Stability

  • Robustness in Network Formation Games

  • AI and AI-human based Salesforce Hiring using Interview Videos

       (with Ishita Chakraborty, Howard Dover and K. Sudhir)