Household-Specific Regressions Using Clickstream Data
| dc.creator | Goldfarb, Avi | |
| dc.creator | Lu, Qiang | |
| dc.date | 2006-09-08 | |
| dc.date.accessioned | 2026-07-07T08:08:10Z | |
| dc.date.available | 2026-07-07T08:08:10Z | |
| dc.description | 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. | |
| dc.description | 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) | |
| dc.identifier | https://arxiv.org/abs/math/0609226 | |
| dc.identifier | http://arxiv.org/abs/math/0609226 | |
| dc.identifier | Statistical Science 2006, Vol. 21, No. 2, 247-255 | |
| dc.identifier | doi:10.1214/088342306000000150 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/131173 | |
| dc.subject | Statistics Theory | |
| dc.title | Household-Specific Regressions Using Clickstream Data | |
| dc.type | text |