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...

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Bibliographic Details
Published in:	Applied economics letters 2012-07, Vol.19 (11), p.1051-1055
Main Authors:	Hand, Chris, Judge, Guy
Format:	Article
Language:	eng
Subjects:	Cinema cinema admissions Economic forecasts Economic models Film industry forecasting Forecasting techniques Forecasts Information and communication technologies Internet Internet search engine Leisure industry Search engines Studies Theaters & cinemas Ticket sales United Kingdom
Online Access:	Get full text
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Summary:	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.
ISSN:	1350-4851 1466-4291