Song Yao (姚松)

Associate Professor of Marketing, Olin Business School, Washington University in St. Louis

Home CV Research Teaching Data

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


Working papers:

  • 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.

  • Meng Liu, Raphael Thomadsen, and Song Yao, "Forecasting the Spread of COVID-19 under Different Reopening Strategies."

  • Yoo, Hyesung, Song Yao, Ravi Bapna, and Jui Ramaprasad, "Search Frictions, Sorting and Matching in Two-Sided Markets."

  • 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.”

Work in progress:

  • Daljord, Øystein, Song Yao, Carl F. Mela, and Jim Sprigg, “Goal Gradient and Time Discounting”.

  • Yoo, Hyesung and Song Yao, “Using Machine Learning to Address Customer Privacy Concerns”.