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Rosés and Wolf Database on Regional GDP: (v6, 2020)
The Rosés-Wolf database on regional GDP provides data on the economic development of European regions at the level of NUTS-2 regions for the years 1900 - 2015. It contains information of nominal GDP (in 1990 and 2011 PPP), population, area, and on sector-level employment shares. The first version of the data was constructed by a team of researchers based on national historical statistics: Marc Badia-Miró, Erik Buyst, Kerstin Enflo, Emanuele Felice, Frank Geary, Jordi Guilera, Kari Anne Janisse, Peter Sandholt Jensen, Herman de Jong, Martin Henning, Alexander Klein, Julio Martínez-Galarraga, Jørgen Modalsli, Cristina Victoria Radu, Joan Ramon Rosés, Teresa Sanchis, Lennart Schön (†), Max-Stephan Schulze, Paul Richard Sharp, Tom Stark, Dirk Stelder (†), Daniel A. Tirado, Ulrich Woitek, Nikolaus Wolf, and Gabriela Wüthrich
Inflation expectations and the recovery from the Great Depression in Germany
Data appendix to: Volker Daniel/Lucas ter Steege: Inflation expectations and the recovery from the Great Depression in Germany, in: Explorations in Economic History 75 (2020), https://doi.org/10.1016/j.eeh.2019.101305. A regime shift toward increased inflation expectations is credited with jump-starting the recovery from the Great Depression in the United States. What role did inflation expectations play in Germany that experienced a similarly successful economic upturn in the 1930s? We study inflation expectations in the German recovery across several methods: we conduct a narrative study of media sources; we estimate inflation expectations from a factor-augmented vector autoregression model, real interest rate forecasts, and quantitative news series. Consistently across these approaches, we do not find a shift to increased expected inflation. This recovery was different, and its causes lie elsewhere
Fictional Expectations and the Global Media in the Greek Debt Crisis: A Topic Modeling Approach
Data appendix to: Volker Daniel/Magnus Neubert/Agnes Orban: Fictional Expectations and the Global Media in the Greek Debt Crisis: A Topic Modeling Approach, in: Jahrbuch für Wirtschaftsgeschichte / Economic History Yearbook 59 (2018)/2, S. 525-566. https://doi.org/10.1515/jbwg-2018-0018 We study the role of global media during the Greek debt crisis and relate it to the transmission of events on financial actors’ expectations. To identify news coverage about the Greek debt crisis, we apply topic modeling to a newly com- piled dataset of over 430,000 articles from The International New York Times and Financial Times from 2009 to 2015. We identify a Greek debt crisis topic and relate it to events concerning Greece during this time period. Our finding is that events are only relevant for financial markets when they are covered in the media, whereas events without media coverage have no effect. News coverage without immediate events is equally irrelevant for financial markets
The Berlin stock exchange and the geography of German stock markets in 1913
Multiple stock exchanges have been in operation in Germany since the nineteenth century. We provide new data on the number of listed firms, the market value and industry characteristics for the benchmark year 1913 to understand the geography of stock market listings. We find that large firms tended to be listed on the Berlin stock exchange while the regional stock exchanges were important hosts for small- and medium-sized firms. We show that the geographic distance between the stock exchange and corporate headquarters is negatively related to listing decisions. Data appendix to: Carsten Burhop/Sibylle Lehmann-Hasemeyer: The Berlin stock exchange and the geography of German stock markets in 1913, in: European Review of Economic History 20 (2016)/4, pp. 429–451, https://doi.org/10.1093/ereh/hew010