Consumer Search: Evidence from Path-Tracking Data

Fabio Pinna and Stephan Seiler
Additional contact information
Fabio Pinna: London School of Economics and Political Science
Stephan Seiler: Centre for Economic Performance, Stanford University

Research Papers from Stanford University, Graduate School of Business

Abstract: We estimate the effect of consumer search on the price of the purchased product in a physical store environment. We implement the analysis using a unique data set obtained from radio frequency identification tags, which are attached to supermarket shopping carts. This technology allows us to record consumers' purchases as well as the time they spent in front of the shelf when contemplating which product to buy, giving us a direct measure of search effort. Controlling for a host of confounding factors, we estimate that an additional minute spent searching lowers price paid by $2.10.

Date: 2014-08
New Economics Papers: this item is included in nep-com, nep-mfd and nep-mkt
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.gsb.stanford.edu/faculty-research/worki ... e-path-tracking-data
Our link check indicates that this URL is bad, the error code is: 404 Not Found (http://www.gsb.stanford.edu/faculty-research/working-papers/consumer-search-evidence-path-tracking-data [301 Moved Permanently]--> https://www.gsb.stanford.edu/faculty-research/working-papers/consumer-search-evidence-path-tracking-data)

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:ecl:stabus:3174

Access Statistics for this paper

More papers in Research Papers from Stanford University, Graduate School of Business Contact information at EDIRC.
Bibliographic data for series maintained by ().