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dc.contributor.authorAskitas, Nikolaosen_US
dc.contributor.authorZimmermann, Klaus F.en_US
dc.date.accessioned2009-06-15en_US
dc.date.accessioned2010-02-04T13:06:48Z-
dc.date.available2010-02-04T13:06:48Z-
dc.date.issued2009en_US
dc.identifier.urihttp://hdl.handle.net/10419/29809-
dc.description.abstractThe current economic crisis requires fast information to predict economic behavior early, which is difficult at times of structural changes. This paper suggests an innovative new method of using data on internet activity for that purpose. It demonstrates strong correlations between keyword searches and unemployment rates using monthly German data and exhibits a strong potential for the method used.en_US
dc.language.isoengen_US
dc.publisherDeutsches Institut für Wirtschaftsforschung (DIW) Berlinen_US
dc.relation.ispartofseriesDiscussion papers // German Institute for Economic Research 899en_US
dc.subject.jelC22en_US
dc.subject.jelC82en_US
dc.subject.jelE17en_US
dc.subject.jelE24en_US
dc.subject.jelE37en_US
dc.subject.ddc330en_US
dc.subject.keywordGoogleen_US
dc.subject.keywordinterneten_US
dc.subject.keywordkeyword searchen_US
dc.subject.keywordsearch engineen_US
dc.subject.keywordunemploymenten_US
dc.subject.keywordpredictionsen_US
dc.subject.keywordtimeseries analysisen_US
dc.subject.stwInternet-Portalen_US
dc.subject.stwDatenqualitäten_US
dc.subject.stwSuchmaschineen_US
dc.subject.stwArbeitslosigkeiten_US
dc.subject.stwPrognoseverfahrenen_US
dc.subject.stwArbeitsmarktprognoseen_US
dc.subject.stwVergleichen_US
dc.subject.stwZeitreihenanalyseen_US
dc.subject.stwSchätzungen_US
dc.subject.stwDeutschlanden_US
dc.titleGoogle econometrics and unemployment forecastingen_US
dc.typeWorking Paperen_US
dc.identifier.ppn601776232en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
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DIW-Diskussionspapiere

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