A Poisson Regression Examination of the Relationship between Website Traffic and Search Engine Queries
AbstractA new area of research involves the use of Google data, which has been normalized and scaled to predict economic activity. This new source of data holds both many advantages as well as disadvantages, which are discussed through the use of daily and weekly data. Daily and weekly data are employed to show the effect of aggregation as it pertains to Google data, which can lead to contradictory findings. 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. The purpose of this paper is to point out the benefits and the pitfalls of a potential new source of data that lacks transparency in regards to the original level data, which is due to the normalization and scaling procedures utilized by Google.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 19895.
Date of creation: 05 Nov 2009
Date of revision: 10 Jan 2010
Poisson Regression; Search Engine; Google Insights; Aggregation; Normalization Effects; Scaling Effects;
Other versions of this item:
- Heather R. Tierney & Bing Pan, 2012. "A poisson regression examination of the relationship between website traffic and search engine queries," Netnomics, Springer, vol. 13(3), pages 155-189, October.
- Tierney, Heather L.R. & Pan, Bing, 2010. "A Poisson Regression Examination of the Relationship between Website Traffic and Search Engine Queries," MPRA Paper 32117, University Library of Munich, Germany, revised 08 Jul 2011.
- Tierney, Heather L. R. & Pan, Bing, 2009. "A Poisson Regression Examination of the Relationship between Website Traffic and Search Engine Queries," MPRA Paper 18899, University Library of Munich, Germany, revised 27 Nov 2009.
- Tierney, Heather L. R. & Pan, Bing, 2009. "A Poisson Regression Examination of the Relationship between Website Traffic and Search Engine Queries," MPRA Paper 18413, University Library of Munich, Germany.
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
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