Research
Working Papers
Using Contextual Embeddings to Predict the Effectiveness of Novel Heterogeneous Treatments, with Paul B. Ellickson, Wreetabrata Kar, and James C. Reeder, III. (Revise and Resubmit at Journal of Marketing Research)
Deep Learning-based Estimation of Dynamic Discrete Choice Models with an Application to the Expansion of Walmart, with Paul B. Ellickson.
Variational Inference and Deep Learning-based Estimation for Stationary Dynamic Discrete Choice Models, with Paul B. Ellickson.
Designing Cancellation Policy for Perishable and Capacity-constrained Products: the Case of Airbnb, with Paul B. Ellickson and Yufeng Huang.
When Linear IV Estimator Fails: Avoiding Pitfalls in Causal Effect Estimation in Targeted Marketing, with Paul B. Ellickson and Ziyao Tang. (Being revised under a new title, new draft coming soon)
Work in Progress
Credit Card Adoption and Targeting: Exploring Synergy between Retailing Service and Financial Service, with Ziyao Tang and Paul Ellickson. (Draft coming soon, WCAI-Wharton Customer Analytics Initiative Research Opportunity Grant Award)
Forest-based Synthetic Control with Multi-valued Treatment and Staggered Adoption: Application to B2B Sales Promotions, with Rajdeep Grewal and James C. Reeder, III. (Analysis in progress)
Influencer Co-creations for Solving Cold-Start Problems: Evidence from TikTok, with Yulin Hao and Liuyi Ye. (Analysis in progress)
Information Disclosure, Social Interactions and Polarization: Evidence from Zhihu, with Huaxia Rui and Ziyao Tang. (Analysis in progress)