Song Yao
Associate Professor of Marketing, Carlson School of Management, University of Minnesota

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Research Interest: Advertising, Online Marketing, New Media, Auctions, Pricing.


Working papers (available upon request if no link is posted for the manuscript):
  • Stephan Seiler, Song Yao and Georgios Zervas, "Causal Inference in Word-of-Mouth Research: Methods and Results," in preparation for Customer Analytics for Maximum Impact: Academic Insights and Business Use Cases, Taylor & Francis (CRC Press), edited by S. Seetharaman.
  • Stephan Seiler, Anna Tuchman, and Song Yao, “The Impact of Soda Taxes: Pass-through, Tax Avoidance, and Nutritional Effects
  • Yoo, Hyesung, Maria Ana Vitorino, and Song Yao, “Hospital Competition and Quality Under Regulated Prices: Evidence from the Entry of High-Speed Train in South Korea”.
  • Yoo, Hyesung, Song Yao, Luping Sun, Xiaomeng Du, “Using Machine Learning to Address Customer Privacy Concerns”.
  • Zhang, Kenan, Hongyu Chen, Song Yao, Linli Xu, Jiaoju Ge, Xiaobo Liu, and Yu (Marco) Nie, “Virtual Connectivity is a Mixed Blessing for Ride-Hailing”

Work in progress:
  • Daljord, Øystein, Song Yao, Carl F. Mela, and Jim Sprigg, “Goal Gradient and Time Discounting”.
  • Qin, Marco, Song Yao, and Wenbo Wang, “Demand Estimation for Bike-sharing”.
  • Xu, Linli, Song Yao, Yi Zhu, Jiaoju Ge, “The Impact of Surge Pricing in Ride-Sharing Market”.