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Forecasting unemployment with internet search data: Does it help to improve predictions when job destruction is skyrocketing?

Author

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  • Vicente, María Rosalía
  • López-Menéndez, Ana J.
  • Pérez, Rigoberto

Abstract

As more and more daily activities take place online, data on internet behaviour is becoming a key information source. In this sense, several papers have explored the usefulness of internet search data in order to improve the nowcasting and forecasting of economic indicators. Special attention has been paid to predicting unemployment. Nonetheless, most of the empirical evidence on this field has focused in countries with low/moderate rates of unemployment.

Suggested Citation

  • Vicente, María Rosalía & López-Menéndez, Ana J. & Pérez, Rigoberto, 2015. "Forecasting unemployment with internet search data: Does it help to improve predictions when job destruction is skyrocketing?," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 132-139.
    • Handle: RePEc:eee:tefoso:v:92:y:2015:i:c:p:132-139
    DOI: 10.1016/j.techfore.2014.12.005
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    References listed on IDEAS

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    1. Fondeur, Y. & Karamé, F., 2013. "Can Google data help predict French youth unemployment?," Economic Modelling, Elsevier, vol. 30(C), pages 117-125.
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