The project comprises 4 modules: Module 1 contains the preparation of data of the Mannheim Enterprise Panel (MUP) and its provision for a Survey of German companies conducted by Kantar. In module 2 we analyse the websites of about 1.3 million German companies, which are also based on the MUP. The module includes 10 crawls of the companies’ webpages as well as their merge to the data of the MUP. The company webpages are searched for keywords related to Corona pandemic. For this step of analysis we use a specialized WebAI-engine of our cooperation partner istari.ai. The resulting indicators which result from istari.ai’s web analysis are provided to ZEW and will ultimately be merged with MUP data. Module 3 comprises descriptive statistics of the web contents by size class, economic sector and region (districts & cities). Web indicators are also presented according to further company characteristics based on the MUP such as credit rating classes of companies before the start of the Corona crisis. In module 4 the dynamic adjustment of the web pages contents in the course of the first weeks of the crisis (mid-March to end of May) will be represented.
Articles in Refereed Journals
Dörr, Julian Oliver, Jan Kinne, David Lenz, Georg Licht and Peter Winker (2022), An integrated data framework for policy guidance during the coronavirus pandemic: Towards real-time decision support for economic policymakers, PLOS ONE 17(2), e0263898. Download
Bundesministerium für Wirtschaft und Energie
01.04.2020 - 31.07.2020
Peter Winker, Prof. Dr., Justus-Liebig-Universität Gießen, Gießen, DE
istari.ai UG, Mannheim, DE
Kantar GmbH, München, DE