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Searching for the picture: forecasting UK cinema admissions using Google Trends data

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  • Chris Hand
  • Guy Judge

Abstract

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.

Suggested Citation

  • Chris Hand & Guy Judge, 2012. "Searching for the picture: forecasting UK cinema admissions using Google Trends data," Applied Economics Letters, Taylor & Francis Journals, vol. 19(11), pages 1051-1055, July.
  • Handle: RePEc:taf:apeclt:v:19:y:2012:i:11:p:1051-1055
    DOI: 10.1080/13504851.2011.613744
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    File URL: http://hdl.handle.net/10.1080/13504851.2011.613744
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    Cited by:

    1. Cruz-Suarez, Ana & Prado-Román, Alberto & Prado-Román, Miguel, 2014. "Legitimidade cognitiva, acesso aos recursos e resultados organizacionais," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 54(5), September.
    2. repec:eee:touman:v:46:y:2015:i:c:p:386-397 is not listed on IDEAS
    3. Ateca-Amestoy, Victoria & Prieto-Rodriguez, Juan, 2013. "Forecasting accuracy of behavioural models for participation in the arts," European Journal of Operational Research, Elsevier, vol. 229(1), pages 124-131.
    4. Ikhoon, Jang & Young Chan, Choe, 2016. "Forecasting Agri-food Consumption Using the Keyword Volume Index from Search Engine Data," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 236124, Agricultural and Applied Economics Association.
    5. Aaron Yelowitz & Matthew Wilson, 2015. "Characteristics of Bitcoin users: an analysis of Google search data," Applied Economics Letters, Taylor & Francis Journals, vol. 22(13), pages 1030-1036, September.
    6. Stephen L. France & Yuying Shi, 2017. "Aggregating Google Trends: Multivariate Testing and Analysis," Papers 1712.03152, arXiv.org, revised Mar 2018.
    7. Marshall, Pablo & Dockendorff, Monika & Ibáñez, Soledad, 2013. "A forecasting system for movie attendance," Journal of Business Research, Elsevier, vol. 66(10), pages 1800-1806.
    8. repec:eee:jeborg:v:143:y:2017:i:c:p:9-27 is not listed on IDEAS

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