Searching for the picture: forecasting UK cinema admissions using Google Trends data
AbstractThis 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.
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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Economics Letters.
Volume (Year): 19 (2012)
Issue (Month): 11 (July)
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Web page: http://www.tandfonline.com/RAEL20
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- Ateca-Amestoy, Victoria & Prieto-Rodriguez, Juan, 2013.
"Forecasting accuracy of behavioural models for participation in the arts,"
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- Prieto Rodríguez, Juan & Ateca Amestoy, Victoria María, 2012. "Forecasting accuracy of behavioural models for participation in the arts," DFAEII Working Papers 2012-01, University of the Basque Country - Department of Foundations of Economic Analysis II.
- Victoria M. Ateca-Amestoy & Juan Prieto-Rodriguez, 2012. "Forecasting accuracy of behavioural models for participation in the arts," ACEI Working Paper Series AWP-01-2012, the Association for Cultural Economics International, revised Feb 2012.
- Marshall, Pablo & Dockendorff, Monika & Ibáñez, Soledad, 2013. "A forecasting system for movie attendance," Journal of Business Research, Elsevier, vol. 66(10), pages 1800-1806.
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