Journal article

Authors list: Bystrov, V; Naboka, V; Staszewska-Bystrova, A; Winker, P

Publication year: 2022

Pages: 433-469

Journal: Journal of Economics and Statistics

Volume number: 242

Issue number: 4

ISSN: 0021-4027

eISSN: 2366-049X

Open access status: Bronze

DOI Link: https://doi.org/10.1515/jbnst-2022-0024

Publisher: De Gruyter Brill

Abstract: 
Textual data gained relevance as a novel source of information for applied economic research. When considering longer periods or international comparisons, often different text corpora have to be used and combined for the analysis. A methods pipeline is presented for identifying topics in different corpora, matching these topics across corpora and comparing the resulting time series of topic importance. The relative importance of topics over time in a text corpus is used as an additional indicator in econometric models and for forecasting as well as for identifying changing foci of economic studies. The methods pipeline is illustrated using scientific publications from Poland and Germany in English and German for the period 1984-2020. As methodological contributions, a novel tool for data based model selection, sBIC, is impelemented, and approaches for mapping of topics of different corpora (including different languages) are presented.

Harvard Citation style: Bystrov, V., Naboka, V., Staszewska-Bystrova, A. and Winker, P. (2022) Cross-Corpora Comparisons of Topics and Topic Trends, Journal of Economics and Statistics, 242(4), pp. 433-469. https://doi.org/10.1515/jbnst-2022-0024

APA Citation style: Bystrov, V., Naboka, V., Staszewska-Bystrova, A., & Winker, P. (2022). Cross-Corpora Comparisons of Topics and Topic Trends. Journal of Economics and Statistics. 242(4), 433-469. https://doi.org/10.1515/jbnst-2022-0024