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Coronavirus pandemic affects companies differently: A high-frequency website analysis of companies' reactions to the coronavirus pandemic in Germany

Author

Listed:
  • Kinne, Jan
  • Krüger, Miriam
  • Lenz, David
  • Licht, Georg
  • Winker, Peter

Abstract

In this ZEW short report, the authors analyze the websites of approximately 1.1 million German companies twice a week for references of the word "Corona" and corresponding synonyms. The identified text passages are then evaluated using AI text analysis models to determine the context of the references. This procedure allows to assess the impact of the corona pandemic on companies in Germany in a timely and comprehensive manner.

Suggested Citation

  • Kinne, Jan & Krüger, Miriam & Lenz, David & Licht, Georg & Winker, Peter, 2020. "Coronavirus pandemic affects companies differently: A high-frequency website analysis of companies' reactions to the coronavirus pandemic in Germany," ZEW Expert Briefs 20-05e, ZEW - Leibniz Centre for European Economic Research.
    • Handle: RePEc:zbw:zewexb:2005e
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    File URL: https://www.econstor.eu/bitstream/10419/271620/1/zew-exp202005e.pdf
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    References listed on IDEAS

    as
    1. Kinne, Jan & Axenbeck, Janna, 2018. "Web mining of firm websites: A framework for web scraping and a pilot study for Germany," ZEW Discussion Papers 18-033, ZEW - Leibniz Centre for European Economic Research.
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    Cited by:

    1. Rammer, Christian & Es-Sadki, Nordine, 2023. "Using big data for generating firm-level innovation indicators - a literature review," Technological Forecasting and Social Change, Elsevier, vol. 197(C).

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