Household-Specific Regressions Using Clickstream Data
Statistics Theory
2007-06-13 v1 Statistics Theory
Abstract
This paper makes three contributions: (1) the paper provides a better understanding of online behavior by showing the main drivers of Internet portal choice, (2) the rich data allow for a deeper understanding of brand substitution patterns than previously possible and (3) the paper introduces a wider statistics community to a new data opportunity and a recently developed method.
Cite
@article{arxiv.math/0609226,
title = {Household-Specific Regressions Using Clickstream Data},
author = {Avi Goldfarb and Qiang Lu},
journal= {arXiv preprint arXiv:math/0609226},
year = {2007}
}
Comments
Published at http://dx.doi.org/10.1214/088342306000000150 in the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)