Search and Product Differentiation at an Internet Shopbot
Erik Brynjolfsson,
Astrid Andrea Dick and
Michael D. Smith
No 4441-03, Working papers from Massachusetts Institute of Technology (MIT), Sloan School of Management
Abstract:
Price dispersion among commodity goods is typically attributed to consumer search costs. We explore the magnitude of consumer search costs using a data set obtained from a major Internet shopbot. For the median consumer, the benefits to searching lower screens are $2.24 while the cost of an exhaustive search of the offers is a maximum of $2.03. Interestingly, in our setting, consumers who search more intensively are less price sensitive than other consumers, reflecting their increased weight on retailer differentiation in delivery time and reliability. Our results demonstrate that even in this nearly-perfect market, substantial price dispersion can exist in equilibrium from consumers preferences over both price and non-price attributes
Keywords: search costs; shopbot; product differentiation; random coefficients choice model (search for similar items in EconPapers)
Date: 2004-03-05
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)
Downloads: (external link)
http://hdl.handle.net/1721.1/5046 (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:mit:sloanp:5046
Ordering information: This working paper can be ordered from
MASSACHUSETTS INSTITUTE OF TECHNOLOGY (MIT), SLOAN SCHOOL OF MANAGEMENT, 50 MEMORIAL DRIVE CAMBRIDGE MASSACHUSETTS 02142 USA
Access Statistics for this paper
More papers in Working papers from Massachusetts Institute of Technology (MIT), Sloan School of Management MASSACHUSETTS INSTITUTE OF TECHNOLOGY (MIT), SLOAN SCHOOL OF MANAGEMENT, 50 MEMORIAL DRIVE CAMBRIDGE MASSACHUSETTS 02142 USA. Contact information at EDIRC.
Bibliographic data for series maintained by None ( this e-mail address is bad, please contact ).