A Poisson Regression Examination of the Relationship between Website Traffic and Search Engine Queries

Heather Tierney and Bing Pan

MPRA Paper from University Library of Munich, Germany

Abstract: A new area of research involves the use of Google data, which has been normalized and scaled to predict economic activity. In this paper, Poisson regressions are used to explore the relationship between the online traffic to a specific website and the search volumes for certain keyword search queries, along with the rankings of that specific website for those queries. Daily and weekly data are used to discuss the effects that normalization, scaling, and aggregation have on the empirical findings, which are frequency-dependent.

Keywords: Poisson Regression; Search Engine; Google Insights; Aggregation (search for similar items in EconPapers)
JEL-codes: C25 C43 D83 (search for similar items in EconPapers)
Date: 2009-11-04
New Economics Papers: this item is included in nep-ict
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https://mpra.ub.uni-muenchen.de/18413/1/MPRA_paper_18413.pdf original version (application/pdf)

Related works:
Journal Article: A poisson regression examination of the relationship between website traffic and search engine queries (2012)
Working Paper: A Poisson Regression Examination of the Relationship between Website Traffic and Search Engine Queries (2011)
Working Paper: A Poisson Regression Examination of the Relationship between Website Traffic and Search Engine Queries (2010)
Working Paper: A Poisson Regression Examination of the Relationship between Website Traffic and Search Engine Queries (2009)
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