Jingbo Wang 汪静波 (New site)

Assistant Professor of Marketing ​ Chinese University of Hong Kong ​ 12 Chak Cheung Street ​ Shatin, N.T., Hong Kong ​ jingbowang@cuhk.edu.hk

Research Statement

My research combines the power of deep learning and quantitative marketing to develop scalable algorithms that analyze large-scale marketing data. By focusing on social networks and digital platforms, I strive to uncover the causal mechanisms that drive consumer behavior and derive new algorithms for pricing, targeting, and policymaking. My goal is to integrate state-of-the-art AI with marketing analytics to tackle high-impact business challenges and deliver innovative solutions.

Education

University of Southern California, Ph.D. in Economics, 2021 ​ CEMFI, M.Phil. in Economics and Finance, 2014 ​ Lingnan College, Sun Yat-sen University, B.S. in Economics, 2011

Research Interests

Substantive Areas: Social networks, Digital platforms, Industrial organization ​ Methodological Areas: Deep/Machine learning, Causal inference, Structural estimation

Publication

  1. Emre Demirkaya, Yingying Fan, Lan Gao, Jinchi Lv, Patrick Vossler & Jingbo Wang (2024) Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors, Journal of the American Statistical Association, 119:545, 297-307, DOI: 10.1080/01621459.2022.2115375

    Earlier version: Yingying Fan, Jinchi Lv, and Jingbo Wang (2018), DNN: A Two-Scale Distributional Tale of Heterogeneous Treatment Effect Inference, SSRN.

Working papers

  1. Yan Cheng, Jingbo Wang, Xinyu Cao, Zuo-Jun Max Shen, and Yuhui Zhang (2023), Selecting Creators to Sign on a Content-Sharing Platform: A Deep-DiD Approach, SSRN, Major Revision, Marketing Science.

  2. Jingbo Wang and Yufeng Huang (2022), Scalable Just-in-time Price Elasticity Estimation, SSRN, Major Revision, Management Science.

Work in progress

  1. Jingbo Wang, and Sha Yang (2023), Estimation of Heterogeneous Treatment Effects in Network-based Quasi-experiments.

  2. Xinyu Cao, Yan Cheng, Jingbo Wang, and Zuo-Jun Max Shen (2023), Should Video Sharing Platforms Encourage More Bullet Chats?

Teaching

The Chinese University of Hong Kong (Instructor) ​ Machine learning (Undergraduate), 2021-2023 ​ Machine learning in Marketing (Graduate), 2021-2023

The University of Southern California (Teaching Assistant) ​ Macroeconomics (Undergraduate/Graduate), 2015-2018 ​ Econometrics (Undergraduate/Graduate), 2019-2021

Programming

Python, R, Stata, Matlab