主 题：Observational Learning in Broad Choice Sets
主讲人：Laurens Debo（Associate Professor of Operations Management at the Tuck School of Business, Dartmouth College）
We study observational learning in environments where customers choose among multiple options with uncertain quality for which they observe the aggregate choices of previous customers (the sales of each option). When customers have heterogeneous knowledge about quality, the choices of better informed customers turn sales into informative signals, allowing less informed customers to learn about the options’ quality. We characterize the equilibrium choices for environments with any number of options. Although uninformed customers avoid options with no sales, they often prefer minority options with low sales over majority options with higher sales. “Minority Wisdom” tends to arise when the number of options is large, and when the fraction of informed customers in the market is low. We test the predictions from our observational learning model in the laboratory. The data shows that human subjects learn from sales information, even though they follow minorities less often than predicted by the full rationality paradigm of our equilibrium model. Our results suggest that observational learning might be problematic even for high quality firms, which gain less market share than theoretically predicted, and may find it more difficult to match supply and demand, because observational learning tends to increase demand uncertainty.
Laurens Debo is an Associate Professor of Operations Management at the Tuck School of Business, Dartmouth College. He has been interested in the research problems in the areas of operations/economics interface, queueing games and global supply chain management. He has published over 20 articles in the top journals of Management Science, Operations Research, MSOM and POM.