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Cited by 430

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Google Econometrics and Unemployment Forecasting

Open access
Askitas, Nikolaos, Zimmermann, Klaus F·2009·Applied Economics Quarterly

Abstract

The 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. JEL Classification: C22, C82, E17, E24, E37

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Crossref · 10.3790/aeq.55.2.107

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Metadata

Authors
Askitas, N., & Zimmermann, K. F.
Venue
Applied Economics Quarterly
Published
2009-04-01
Volume
55
Issue
2
Pages
107-120
ISSN
  • 0023-3498 (ISSN-L)
  • 1865-5122
  • 1611-6607
OpenAlex
W3021839112
Cited by
430
References
2
FWCI
23.90
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Google Econometrics and Unemployment Forecasting. https://app.cochat.ai/papers/10.3790/aeq.55.2.107
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Askitas, N., & Zimmermann, K. F. (2009). Google Econometrics and Unemployment Forecasting. Applied Economics Quarterly. https://doi.org/10.3790/aeq.55.2.107

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.