ETLAnow: A Model for Forecasting with Big Data – Forecasting Unemployment with Google Searches in Europe
Joonas Tuhkuri
No 54, ETLA Reports from The Research Institute of the Finnish Economy
Abstract:
Abstract In this report we document the ETLAnow project. ETLAnow is a model for forecasting with big data. At the moment, it predicts the unemployment rate in the EU-28 countries using Google search data. This document is subject to updates as the ETLAnow project advances.
Keywords: Big Data; Google; Internet; Nowcasting; Forecasting; Unemployment; Europe (search for similar items in EconPapers)
JEL-codes: C22 C53 C55 C82 E27 (search for similar items in EconPapers)
Pages: 16 pages
Date: 2016-05-25
New Economics Papers: this item is included in nep-cmp, nep-eur, nep-mac and nep-ore
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.etla.fi/wp-content/uploads/ETLA-Raportit-Reports-54.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:rif:report:54
Ordering information: This working paper can be ordered from
https://www.etla.fi/ ... -searches-in-europe/
Access Statistics for this paper
More papers in ETLA Reports from The Research Institute of the Finnish Economy Contact information at EDIRC.
Bibliographic data for series maintained by Kaija Hyvönen-Rajecki ().