Searching for the picture: forecasting UK cinema admissions using Google Trends data
This article investigates whether Google Trends search information can improve forecasts of cinema admissions. Using monthly data for the United Kingdom for the period 1 January 2004 to 31 December 2008, we examine various forecasting models that incorporate Google Trends search information.
We find clear evidence that Google Trends data on searches relevant to cinema visits (as opposed to searches for specific films) do have the potential to increase the accuracy of cinema admissions forecasting models.
Keywords: C22; Internet search engine; L82; cinema admissions; forecasting
Document Type: Research Article
Affiliations: 1: Department of Strategy,Marketing and Entrepreneurship, Kingston University, Kingston upon ThamesKT2 7LB, UK 2: Department of Economics,University of Portsmouth, PortsmouthPO1 3DE, UK
Publication date: 01 July 2012
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