The Effectiveness of Field Price Discretion: Empirical Evidence from Auto Lending
Robert Phillips (),
A. Serdar Şimşek () and
Garrett van Ryzin ()
Additional contact information
Robert Phillips: Columbia Business School, New York, New York 10027; and Nomis Solutions, San Bruno, California 94066
A. Serdar Şimşek: School of Operations Research and Information Engineering, Cornell University, Ithaca, New York 14853
Garrett van Ryzin: Columbia Business School, New York, New York 10027
Management Science, 2015, vol. 61, issue 8, 1741-1759
Abstract:
In many markets, it is common for headquarters to create a price list but grant local salespeople discretion to negotiate prices for individual transactions. How much (if any) pricing discretion headquarters should grant is a topic of debate within many firms. We investigate this issue using a unique data set from an indirect lender with local pricing discretion. We estimate that the local sales force adjusted prices in a way that improved profits by approximately 11% on average. A counterfactual analysis shows that using a centralized, data-driven pricing optimization system could improve profits even further, up to 20% over those actually realized. This suggests that centralized pricing—if appropriately optimized—can be more effective than field price discretion. We discuss the implications of these findings for auto lending and other industries with similar pricing processes. This paper was accepted by Serguei Netessine, operations management .
Keywords: customized pricing; sales force price discretion; price sensitivity estimation; endogeneity; consumer lending (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (24)
Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.2014.2084 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:61:y:2015:i:8:p:1741-1759
Access Statistics for this article
More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().