Structural estimation of the effect of out-of-stocks
Repository Usage Stats
We develop a structural demand model that endogenously captures the effect of out-of-stocks on customer choice by simulating a time-varying set of available alternatives. Our estimation method uses store-level data on sales and partial information on product availability. Our model allows for flexible substitution patterns, which are based on utility maximization principles and can accommodate categorical and continuous product characteristics. The methodology can be applied to data from multiple markets and in categories with a relatively large number of alternatives, slow-moving products, and frequent out-of-stocks (unlike many existing approaches). In addition, we illustrate how the model can be used to assist the decisions of a store manager in two ways. First, we show how to quantify the lost sales induced by out-of-stock products. Second, we provide insights on the financial consequences of out-of-stocks and suggest price promotion policies that can be used to help mitigate their negative economic impact, which run counter to simple commonly used heuristics. © 2010 INFORMS.
Published Version (Please cite this version)10.1287/mnsc.1100.1170
Publication InfoMusalem, A; Olivares, M; Bradlow, ET; Terwiesch, C; & Corsten, D (2010). Structural estimation of the effect of out-of-stocks. Management Science, 56(7). pp. 1180-1197. 10.1287/mnsc.1100.1170. Retrieved from https://hdl.handle.net/10161/4427.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
More InfoShow full item record
Adjunct Assistant Professor
This author no longer has a Scholars@Duke profile, so the information shown here reflects their Duke status at the time this item was deposited.