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Can Google data help predict French youth unemployment?

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  • Fondeur, Y.
  • Karamé, F.

Abstract

According to the growing “Google econometrics” literature, Google queries may help predict economic activity. The aim of our paper is to test whether these data can enhance predictions of youth unemployment in France.

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Bibliographic Info

Article provided by Elsevier in its journal Economic Modelling.

Volume (Year): 30 (2013)
Issue (Month): C ()
Pages: 117-125

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Handle: RePEc:eee:ecmode:v:30:y:2013:i:c:p:117-125

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Web page: http://www.elsevier.com/locate/inca/30411

Related research

Keywords: Google econometrics; Forecasting; Nowcasting; Unemployment; Unobserved components; Diffuse initialization; Kalman filter; Univariate treatment of time series; Smoothing; Multivariate models;

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  1. Nikos Askitas & Klaus F. Zimmermann, 2009. "Google Econometrics and Unemployment Forecasting," Research Notes of the German Council for Social and Economic Data 41, German Council for Social and Economic Data (RatSWD).
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Citations

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Cited by:
  1. Nuno Barreira & Pedro Godinho & Paulo Melo, 2013. "Nowcasting unemployment rate and new car sales in south-western Europe with Google Trends," Netnomics, Springer, vol. 14(3), pages 129-165, November.
  2. Ladislav Kristoufek, 2013. "Can Google Trends search queries contribute to risk diversification?," Papers 1310.1444, arXiv.org.

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