Dr. Qi Pan joined The Chinese University of Hong Kong (Shenzhen) as an assistant professor in marketing in 2020. He received his Ph.D. degree in economics from the University of Pennsylvania. He received his master's degree in economics from Renmin University and bachelor's degree in Mathematics from Sun Yat-sen University. His interests lie in quantitative marketing, empirical industrial organization, econometric modeling, and big data analysis. His current research is focusing on dynamic pricing and sharing economy. In his recent research paper, he develops an empirical framework to study the pricing dynamics on Airbnb and to evaluate the impact of automated pricing, a tool that allows hosts to update their prices without manual interference. His research explores the empirical dynamic pricing problem with competition and provides insight into automated pricing features. He also studies the impact of Airbnb on the traditional rental market using the dynamic exit and entry model. The modeling methods and result in his research have rich managerial implications. In addition to dynamic pricing and sharing economy, Qi Pan is also interested in Bayesian econometrics. 


1. “Testing Volatility Persistence on Markov Switching Stochastic Volatility Models”,with Yong Li,,Vol 35, Issue 1, 45-50

2. “Costly Price Adjustment and Automated Pricing: The Case of Airbnb”,Qi Pan,

3. “Credit Rating Stability and Quality with Multiple Credit Rating Agencies”,joint with Wei Tan,

4. “The Impact of Airbnb on Housing A˙ordability”,joint with Wen Wang,