Allocation and Pricing of Substitutable Goods: Theory and Algorithm

Citation data:

Production and Operations Management, ISSN: 1059-1478, Vol: 26, Issue: 5, Page: 767-783

Publication Year:
Usage 53
Abstract Views 44
Link-outs 9
Huaxia Rui, De Liu, Andrew Whinston
Decision Sciences, Engineering, Business, Management and Accounting
article description
Motivated by the thriving market of online display advertising, we study a problem of allocating numerous types of goods among many agents who have concave valuations (capturing risk aversion) and heterogeneous substitution preferences across types of goods. The goal is both to provide a theory for optimal allocation of such goods, and to offer a scalable algorithm to compute the optimal allocation and the associated price vectors. Drawing on the economic concept of Pareto optimality, we develop an equilibrium pricing theory for heterogeneous substitutable goods that parallels the pricing theory for financial assets. We then develop a fast algorithm called SIMS (standardization-and-indicator-matrix-search). Extensive numerical simulations suggest that the SIMS algorithm is very scalable and is up to three magnitudes faster than well-known alternative algorithms. Our theory and algorithm have important implications for the pricing and scheduling of online display advertisement and beyond.

This article has 0 Wikipedia mention.