Goldfarb, Avi; Lu, Qiang Household-specific regressions using clickstream data. (English) Zbl 1426.62372 Stat. Sci. 21, No. 2, 247-255 (2006). Summary: 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. Cited in 1 Document MSC: 62P20 Applications of statistics to economics 91B42 Consumer behavior, demand theory Keywords:Internet portals; clickstream data; online behavior × Cite Format Result Cite Review PDF Full Text: DOI arXiv Euclid References: [1] Aaker, D. A. (1991). Managing Brand Equity : Capitalizing on the Value of a Brand Name. Free Press, New York. [2] Chen, P.-Y. and Hitt, L. M. (2002). Measuring switching costs and the determinants of customer retention in Internet-enabled businesses: A study of the online brokerage industry. Information Systems Research 13 255–274. [3] Danaher, P. J., Wilson, I. W. and Davis, R. A. (2003). A comparison of online and offline consumer brand loyalty. Marketing Sci. 22 461–476. [4] Ellison, G. and Ellison, S. F. (2005). Lessons about markets from the internet. J. Economic Perspectives 19 (2) 139–158. [5] Elrod T. and Häubl, G. (1998). An extended random coefficients model, with application to metric conjoint analysis. Working paper, School of Business, Univ. Alberta. [6] Fischer, G. W. and Nagin, D. (1981). Random versus fixed coefficient quantal choice models. In Structural Analysis of Discrete Data with Econometric Applications (C. F. Manski and D. McFadden, eds.) 273–304. MIT Press, Cambridge, MA. [7] Goldfarb, A. (2006). State dependence at internet portals. J. Economics and Management Strategy 15 317–352. [8] Guadagni, P. M. and Little, J. D. C. (1983). A logit model of brand choice calibrated on scanner data. Marketing Sci. 2 203–38. [9] Hargittai, E. (2000). Open portals or closed gates? Channeling content on the World Wide Web. Poetics 27 233–253. [10] Jain, D. C., Vilcassim, N. J. and Chintagunta, P. K. (1994). A random-coefficients logit brand-choice model applied to panel data. J. Bus. Econom. Statist. 12 317–328. [11] Mcfadden, D. (1974). Conditional logit analysis of qualitative behavior. In Frontiers of Econometrics (P. Zarembka, ed.) 105–142. Academic Press, New York. [12] Park, Y.-H. and Fader, P. S. (2004). Modeling browsing behavior at multiple websites. Marketing Sci. 23 280–303. [13] Pesaran, M. H. and Smith, R. (1995). Estimating long-run relationships from dynamic heterogeneous panels. J. Econometrics 68 79–113. · Zbl 0832.62104 · doi:10.1016/0304-4076(94)01644-F This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.