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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, Networks, Quantitative Marketing, and Empirical Industrial Organization.

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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

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

 Forthcoming at Marketing Science

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Publications

WORKING PAPERS

       Shattered Windows: Mass Shootings and Their Consequences on Retail

       (with Simon Kim and TI Kim)

       Minor revision at Marketing Science

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       Stability of Procurement Networks

       (with Anyan Qi)

       Revise and Resubmit at Manufacturing & Service Operations Management

       Generative AI and Job Satisfaction: Evidence from Glassdoor Employees' Reviews

       (with Ying Xie)

       

       Getting the Most Out of A/B Tests Using the Asymptotic Minimax-Regret Criteria

       (with Joonhwi Joo as the lead author)

       Major revision at Management Science

       

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Working papers
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