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FORECASTING THE MACRO ECONOMY: MAKING USE OF GOOGLE SEARCH DATA
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Economics.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This paper examines if Google search data can improve the out-of-sample forecast for inflation rate, interest rate, and growth of industrial production. Results show potential of using Google search data for improving the forecast. However, the forecasting performance depends on model choice. If foreign variables are added to the model, the results are more mixed, and Google search data improves the forecast in only a limited way.

Place, publisher, year, edition, pages
2016.
National Category
Economics
Identifiers
URN: urn:nbn:se:uu:diva-275893OAI: oai:DiVA.org:uu-275893DiVA: diva2:901567
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Available from: 2016-02-08 Created: 2016-02-08 Last updated: 2016-02-08Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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