Database Submission--The ISMS Durable Goods Data Sets
Jian Ni (),
Scott A. Neslin () and
Baohong Sun
Additional contact information
Jian Ni: Carey Business School, Johns Hopkins University, Baltimore, Maryland 21202
Scott A. Neslin: Tuck School of Business at Dartmouth, Dartmouth College, Hanover, New Hampshire 03755
Marketing Science, 2012, vol. 31, issue 6, 1008-1013
Abstract:
This paper describes two new data sets available to academic researchers (at http://www.informs.org/Community/ISMS ). The first is a panel data set containing the transactions of 19,936 households made over the period from December 1998 to November 2004 at a major U.S. consumer electronics retailer. There are a total of 173,262 transactions, including purchases and returns of products as well as extended warranties. There are 16 product categories and 292 subcategories, ranging from big-ticket items such as televisions to small-ticket items such as CDs and batteries. The second data set features a field experiment for a Christmas promotion that took place in December 2003 in the form of a direct mailing sent to a randomly selected group of households at the end of November 2003. We describe the data and the potential research issues that can be studied using these two durable goods data sets.
Keywords: retailer; durable goods; panel data; product adoption; holiday promotion; sales forecasting (search for similar items in EconPapers)
Date: 2012
References: View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://dx.doi.org/10.1287/mksc.1120.0726 (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:ormksc:v:31:y:2012:i:6:p:1008-1013
Access Statistics for this article
More articles in Marketing Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().