Publications
Publications
- December 2019
- Management Science
Invest in Information or Wing It? A Model of Dynamic Pricing with Seller Learning
By: Guofang Huang, Hong Luo and Jing Xia
Abstract
Pricing idiosyncratic products is often challenging because the seller, ex ante, lacks information about the demand for individual items. This paper develops a model of dynamic pricing for idiosyncratic products that features the optimal stopping structure and a seller that learns about item-specific demand through the selling process. The model is estimated using novel panel data of a leading used-car dealership. Policy experiments are conducted to quantify the value of the demand information that the dealer obtains through the initial assessment and subsequent learning in the selling process. With the dealer's average net profit per car in the estimation sample being around $1150, the initial assessment is worth around $101, and the subsequent learning in the selling process helps improve the dealer's profit by at least $269. These estimates suggest a potentially high return to taking the "information-based" approach to pricing idiosyncratic products.
Keywords
Dynamic Pricing; Idiosyncratic Products; Item-specific Demand; Demand Uncertainty; Active Seller Learning; The Value Of Information; Price; Information; Value; Learning
Citation
Huang, Guofang, Hong Luo, and Jing Xia. "Invest in Information or Wing It? A Model of Dynamic Pricing with Seller Learning." Management Science 65, no. 12 (December 2019): 5556–5583.