ETLAnow: A Model for Forecasting with Big Data – Forecasting Unemployment with Google Searches in Europe

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.

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Year of publication:	2016
Authors:	Tuhkuri, Joonas
Publisher:	Helsinki : The Research Institute of the Finnish Economy (ETLA)
Subject:	Prognoseverfahren \| Suchmaschine \| Informationsverhalten \| Online-Recherche \| Arbeitslosigkeit \| EU-Staaten \| Big Data \| Google \| Internet \| Nowcasting \| Forecasting \| Unemployment \| Europe

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Series:	ETLA Report ; 54
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Research Report
Language:	English
Other identifiers:	hdl:10419/201336 [Handle] RePEc:rif:report:54 [RePEc]
Classification:	C22 - Time-Series Models ; C53 - Forecasting and Other Model Applications ; c55 ; C82 - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data ; E27 - Forecasting and Simulation
Source:	EconStor

Persistent link: https://www.econbiz.de/10012037674