Nowcasting with Google Trends : a keyword selection method
Ross, Andrew (2013) Nowcasting with Google Trends : a keyword selection method. Fraser of Allander Economic Commentary, 37 (2). pp. 54-64. ISSN 2046-5378
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Abstract
Search engines, such as Google, keep a log of searches entered into their websites. Google makes this data publicly available with Google Trends in the form of aggregate weekly search term volume. Aggregate search volume has been shown to be able to nowcast (i.e. compute real-time assessment of current activity) a variety of variables such as influenza outbreaks, financial market fluctuations, unemployment and retail sales. Although identifying appropriate keywords in Google Trends is an essential element of using search data, the recurring difficulty identified in the literature is the lack of a technique to do so. Given this, the main goal of this paper is to put forward a method (the "backward induction method") of identifying and extracting keywords from Google Trends relevant to economic variables.
ORCID iDs
Ross, Andrew ORCID: https://orcid.org/0000-0002-9228-5626;-
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Item type: Article ID code: 46731 Dates: DateEventOctober 2013PublishedSubjects: Social Sciences > Economic Theory
Science > Mathematics > Electronic computers. Computer scienceDepartment: Strathclyde Business School > Economics
Strathclyde Business School > Fraser of Allander InstituteDepositing user: Pure Administrator Date deposited: 18 Feb 2014 12:01 Last modified: 23 Oct 2024 00:20 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/46731