Song Yao (姚松)
Associate Professor of Marketing, Olin Business School, Washington University in St. Louis
Research Interest: Advertising, Online Marketing, New Media, Auctions, Pricing.
Bryan Bollinger and Song Yao (2018), “Risk Transfer versus Cost Reduction on Two-Sided Microfinance Platforms,” Quantitative Marketing and Economics, 16(3), pp. 251-287.
Seiler, Stephan, and Song Yao (2017), “The Impact of Advertising along the Conversion Funnel,” Quantitative Marketing and Economics, 15(3), pp. 241-278.
Runner-up, 2018 QME Dick Wittink Prize.
Seiler, Stephan, Song Yao, and Wenbo Wang (2017), “Does Online Word-of-Mouth Increase Demand? (and How?) Evidence from a Natural Experiment,” Marketing Science, 36(6), pp. 838–861.
Yao, Song, Wenbo Wang and Yuxin Chen (2017), “TV Channel Search and Commercial Breaks,” Journal of Marketing Research, 54(5), pp. 671-686.
Chen, Yuxin and Song Yao (2017), “Sequential Search with Refinement: Model and Application with Click-stream Data,” Management Science, 63(12), pp. 4345-4365.
Anja Lambrecht, Avi Goldfarb, Alessandro Bonatti, Anindya Ghose, Daniel G. Goldstein, Randall Lewis, Anita Rao, Navdeep Sahni, and Song Yao (2014) “How Do Firms Make Money Selling Digital Goods Online?” Marketing Letters, 25, pp. 331-341.
Yao, Song, Carl F. Mela, Jeongwen Chiang, and Yuxin Chen (2012) “Determining Consumers' Discount Rates With Field Studies,” Journal of Marketing Research, 49(6), pp. 822-841.
Winner, 2012 AMA Paul E. Green Award.
Yao, Song and Carl F. Mela (2011), “A Dynamic Model of Sponsored Search Advertising,” Marketing Science, 30 (3), pp. 447-468.
Winner, 2009 AMA John A. Howard Award.
Finalist, 2011 INFORMS John D.C. Little Best Paper Award.
Finalist, 2011, 2012 INFORMS Frank M. Bass Best Dissertation Paper Award.
Yao, Song and Carl F. Mela (2009), “Sponsored Search Auctions: Research Opportunitiesin Marketing,” Foundations and Trends in Marketing, Vol. 3: No 2, pp. 75-126.
Yao, Song and Carl F. Mela (2008), “Online Auction Demand,” Marketing Science, 27 (5), pp. 861–885.
Finalist, 2017 INFORMS Long Term Impact Award.
Finalist, 2008 INFORMS John D.C. Little Best Paper Award.
Stephan Seiler, Anna Tuchman, and Song Yao, “The Impact of Soda Taxes: Pass-through, Tax Avoidance, and Nutritional Effects,” conditionally accepted at the Journal of Marketing Research.
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”.