Marketing Science
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


MARKETING SCIENCE
Vol. 28, No. 3, May-June 2009, pp. 405-423
DOI: 10.1287/mksc.1080.0430
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Anderson, E. T.
Right arrow Articles by Simester, D.
Right arrow Search for Related Content

The Option Value of Returns: Theory and Empirical Evidence

Eric T. Anderson, Karsten Hansen, Duncan Simester

Marketing Department, Kellogg School of Management, Northwestern University, Evanston, Illinois 60208
Marketing Department, Kellogg School of Management, Northwestern University, Evanston, Illinois 60208
MIT Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142

eric-anderson{at}kellogg.northwestern.edu
karsten-hansen{at}kellogg.northwestern.edu
simester{at}mit.edu

When a firm allows the return of previously purchased merchandise, it provides customers with an option that has measurable value. Whereas the option to return merchandise leads to an increase in gross revenue, it also creates additional costs. Selecting an optimal return policy requires balancing both demand and cost implications. In this paper, we develop a structural model of a consumer's decision to purchase and return an item that nests extant choice models as a special case. The model enables a firm to both measure the value to consumers of the return option and balance the costs and benefits of different return policies.

We apply the model to a sample of data provided by a mail-order catalog company. We find considerable variation in the value of returns across customers and categories. When the option value is large, there are large increases in demand. For example, the option to return women's footwear is worth an average of more than $15 per purchase to customers and increases average purchase rates by more than 50%. We illustrate how the model can be used by a retailer to optimize his return policies across categories and customers.

Key Words: choice models; consumer behavior; decisions under uncertainty; direct marketing; e-commerce; econometric models; hierarchical Bayes analysis; latent variable models; marketing operations interface; service quality; targeting; returns
History: Received: July 27, 2007; accepted: January 9, 2008.




This article has been cited by other articles:


Home page
MSOMHome page
X. Su
Consumer Returns Policies and Supply Chain Performance
MSOM, October 1, 2009; 11(4): 595 - 612.
[Abstract] [PDF]


Home page
MSOMHome page
J. D. Shulman, A. T. Coughlan, and R. C. Savaskan
Optimal Restocking Fees and Information Provision in an Integrated Demand-Supply Model of Product Returns
MSOM, October 1, 2009; 11(4): 577 - 594.
[Abstract] [PDF]


Home page
J Law Econ OrganHome page
X. Hua
Product Recall and Liability
J. Law Econ. Organ., September 9, 2009; (2009) ewp024v1.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2009 by INFORMS.