Comparing Links between Topic Trends and Economic Indicators in the German and Polish Academic Literature

Victor Bystrov; Viktoriia Naboka‑Krell; Anna Staszewska‑Bystrova; Peter Winker

doi:10.18778/1508-2008.27.10

Autor

Victor Bystrov University of Łódź
Viktoriia Naboka‑Krell University of Giessen
Anna Staszewska‑Bystrova University of Łódź https://orcid.org/0000-0002-3941-4986
Peter Winker University of Giessen

DOI:

https://doi.org/10.18778/1508-2008.27.10

Słowa kluczowe:

modelowanie tematów, analiza tekstu, alokacja zmiennej ukrytej Dirichleta, przyczynowość w sensie Grangera, popularność tematów

Abstrakt

W ostatnim czasie obserwować można gwałtowny wzrost popularności metod analizy ekonomicznej wykorzystującej zmienne pozyskane z tekstów. Jednym z najczęściej stosowanych podejść jest modelowanie tematów, które pozwala na oszacowanie, jak waga poszczególnych tematów zmieniała się w czasie. Celem artykułu jest zbadanie, czy mierzona za pomocą wag popularność tematów była powiązana z wybranymi zmiennymi ekonomicznymi. W badaniu wykorzystano artykuły naukowe z obszaru ekonomii, opublikowane w Polsce i Niemczech w latach 1984–2020. Jednym z celów analizy było stwierdzenie, czy zależności pomiędzy popularnością wybranych tematów w Polsce i w Niemczech i powiązanymi z nimi wskaźnikami ekonomicznymi były podobne. Badanie przeprowadzono za pomocą modeli wektorowej autoregresji i testów przyczynowości Grangera.

Pobrania

Brak dostępnych danych do wyświetlenia.

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