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.View full textDownload full textKeywordscinema admissions, Internet search engine, forecastingJEL ClassificationC22, L82Related var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/13504851.2011.613744
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机译：本文研究了Google趋势搜索信息是否可以改善电影院入场率的预测。利用2004年1月1日至2008年12月31日期间英国的月度数据，我们研究了结合Google趋势搜索信息的各种预测模型。我们发现明显的证据表明，与电影院访问相关的搜索（相对于特定电影的搜索）的Google趋势数据确实有可能提高电影院入学预测模型的准确性。查看全文下载全文关键词电影院入场，互联网搜索引擎，预测JEL分类C22 ，L82Related var addthis_config = {ui_cobrand：“泰勒和弗朗西斯在线”，services_compact：“ citeulike，netvibes，twitter，technorati，delicious，linkedin，facebook，stumbleupon，digg，google，more”，pubid：“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/13504851.2011.613744
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