Khai X. Chiong
Assistant Professor
Naveen Jindal School of Management
University of Texas at Dallas
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
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 (with Ryan Webb, Matt Shum, and Richard Chen)
Accepted at Management Science
WORKING PAPERS
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AI and AI-human based Salesforce Hiring using Interview Videos
(with Ishita Chakraborty, Howard Dover and K. Sudhir)
Under review
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An Empirical Investigation of Incentivized Advertising in Mobile Advertising
(with Richard Chen and Sha Yang)
-
The Minimax-Regret Decision Framework for Online A/B Tests
(with Joonhwi Joo)
Under review
DORMANT PAPERS
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An Empirical Model of Mobile Advertising Platforms
(with Richard Chen)
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On the Consistency of Network Data with Pairwise Stability
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Robustness in Network Formation Games