Research

Dynamic Pricing and Product Return for Perishable Products, with  Paul B. Ellickson and Yufeng Huang. (Preparing for Submission, New Draft Coming Soon)

Transparency and Hostility: The Unintended Effects of Geographic Disclosure on Online Identity Attacks, with Ziyao Tang and Huaxia Rui. (Draft Available Upon Request)

Data Valuation in Marketing Collaborations, with Ziyao Tang (as the lead author) and Paul B. Ellickson. (Wharton AI & Analytics for Business Data Grant, Revise and Resubmit at Management Science)

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)

When Linear IV Estimator Fails: Avoiding Pitfalls in Causal Effect Estimation in Targeted Marketing, Ziyao Tang and Paul B. Ellickson. (New Draft Coming Soon)

Deep Learning-based Estimation of Dynamic Discrete Choice Models with an Application to the Expansion of Walmart, with Paul B. Ellickson. (New Draft Coming Soon)

Variational Inference and Deep Learning-based Estimation for Stationary Dynamic Discrete Choice Models, with Paul B. Ellickson. (New Draft Coming Soon)

Learning to Collaborate, with Yulin Hao and Liuyi Ye. (Preparing for Submission)

Doubly Robust Bayesian Inference with Causal AI, with Ziyao Tang.

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

Inference on Unstructured Data, with Yingjie Feng and Ziyao Tang.

Dynamic Adoption with Strategic Complementarity