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Prognosen aus dem Internet: weitere Erholung am Arbeitsmarkt erwartet

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  • Nikos Askitas
  • Klaus F. Zimmermann

Abstract

Überraschend ist im Mai die Arbeitslosigkeit gefallen. Diese positive Entwicklung wird sich im Juni zunächst fortsetzen. Diese Einschätzung basiert auf einem neuen methodischen Konzept, das Google-Aktivitätsdaten für die kurzfristige Prognose der Arbeitslosigkeit einsetzt. Gerade in wirtschaftlichen Krisenzeiten sind frühzeitige Prognosen gefragt: Traditionelle Verfahren geben dies mangels rechtzeitig verfügbarer Primärdaten und angesichts rascher struktureller Veränderungen allerdings nicht her. Kurzfristige Politikmaßnahmen verändern darüber hinaus die Datengrundlage. "Weiche" Daten, wie sie das Internet liefert, können in dieser Situation einen Ausweg bieten. Die Erfahrungen im bisherigen Verlauf der Wirtschaftskrise belegen - angesichts schwieriger Rahmenbedingungen - eine insgesamt gute Performance des vorgeschlagenen Konzepts.

Suggested Citation

  • Nikos Askitas & Klaus F. Zimmermann, 2009. "Prognosen aus dem Internet: weitere Erholung am Arbeitsmarkt erwartet," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 76(25), pages 402-408.
    • Handle: RePEc:diw:diwwob:76-25-1
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    References listed on IDEAS

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    1. Nikolaos Askitas & Klaus F. Zimmermann, 2009. "Google Econometrics and Unemployment Forecasting," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 55(2), pages 107-120.
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    1. Askitas, Nikos & Zimmermann, Klaus F., 2009. "Googlemetrie und Arbeitsmarkt in der Wirtschaftskrise," IZA Standpunkte 17, Institute of Labor Economics (IZA).

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    More about this item

    Keywords

    Google; Internet; Keyword search; Search engine; Unemployment; Predictions; Forecast evaluation;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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