JSM 2005 Online Program

Abstract #302362

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	466
Type:	Invited
Date/Time:	Thursday, August 11, 2005 : 8:30 AM to 10:20 AM
Sponsor:	Business and Economics Statistics Section
Abstract - #302362
Title:	Sampling eCommerce Data from the Web: Methodological and Practical Issues
Author(s):	Galit Shmueli*+ and Wolfgang Jank and Ravi Bapna
Companies:	University of Maryland and University of Maryland and University of Connecticut
Address:	4361 Van Munching Hall, College Park, MD, 20742-1815, United States
Keywords:	eCommerce ; web-agents ; sampling ; sample design
Abstract:	Empirical research based on web-collected data has been rapidly growing thanks to the large amounts of freely available web data and the technological wonders of web spiders for grabbing data. This is especially true for electronic commerce research, which yields results that can be very influential on the market. Although all studies rely on inferences from the collected data to some population of interest, there has been nearly no attention paid to sampling issues. The methodology of statistical sampling is very relevant in web data collection. It includes defining observational units and target and sampled populations, determining sources of sampling and non-sampling errors, choosing appropriate sampling designs, and adjusting sample estimators to reduce bias and increase precision. Sampling eCommerce data shares many characteristics with other types of sampling (e.g., surveys), but also has special features that researchers should be aware of and account for. In this talk, we discuss web data, eCommerce data collection in the context of sampling methodology in particular, and suggest improvements to current practice in this modern setting.

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