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

María Rosalía Vicente, Ana López-Menéndez () and Rigoberto Pérez

Technological Forecasting and Social Change, 2015, vol. 92, issue C, 132-139

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.

Keywords: Google indicators; Forecasting; Unemployment; Spain; ARIMA; ARIMAX (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (31)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:92:y:2015:i:c:p:132-139

DOI: 10.1016/j.techfore.2014.12.005

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