| dc.creator |
Brynjolfsson, Erik |
|
| dc.creator |
Dick, Astrid Andrea |
|
| dc.creator |
Smith, Michael D. |
|
| dc.date |
2004-03-05T19:24:30Z |
|
| dc.date |
2004-03-05T19:24:30Z |
|
| dc.date |
2004-03-05T19:24:30Z |
|
| dc.date.accessioned |
2013-10-09T02:37:24Z |
|
| dc.date.available |
2013-10-09T02:37:24Z |
|
| dc.date.issued |
2013-10-09 |
|
| dc.identifier |
http://hdl.handle.net/1721.1/5046 |
|
| dc.identifier.uri |
http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
|
| dc.description |
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 |
|
| dc.format |
358313 bytes |
|
| dc.format |
application/pdf |
|
| dc.language |
en_US |
|
| dc.relation |
MIT Sloan School of Management Working Paper;4441-03 |
|
| dc.relation |
Center for eBusiness at MIT;194 |
|
| dc.subject |
search costs |
|
| dc.subject |
shopbot |
|
| dc.subject |
product differentiation |
|
| dc.subject |
random coefficients choice model |
|
| dc.title |
Search and Product Differentiation at an Internet Shopbot |
|
| dc.type |
Working Paper |
|