Research

Data Valuation in Marketing Collaborations, with Ziyao Tang (as the lead author) and Paul B. Ellickson. (Wharton AI & Analytics for Business Data Grant, Under Review)

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, Ziyao Tang and Paul B. Ellickson.

Targeting as Exploration, with Ziyao Tang and Paul B. Ellickson.

Information Disclosure, Social Interactions and Polarization: Evidence from Zhihu, with Ziyao Tang and Huaxia Rui. (Preparing for Submission)

Influencer Co-creations for Solving Cold-Start Problems: Evidence from TikTok, with Yulin Hao and Liuyi Ye. (Preparing for Submission)

Evaluation of Customer Loyalty Programs in B2B Settings, with James C. Reeder, III. 

State Dependence and Targeted Promotion, with Ziyao Tang.

Dynamic Adoption with Strategic Complementarity