Keywords data extracted from Behavioral Finance journals

Published: 9 August 2023| Version 1 | DOI: 10.17632/ms5d852szf.1
Ramón Hernán, Teresa Corzo, Guillermo Pedrosa


The dataset comprises a collection of text data consisting of keywords used in articles published in a selection of academic journals between 2000 and 2020. The chosen journals include the Journal of Economic Psychology, the Journal of Behavioral Finance, the Journal of Behavioral and Experimental Economics, the Journal of Behavioral and Experimental Finance, and the Review of Behavioral Finance. The data was gathered using data analytics techniques in conjunction with a set of tools programmed in R, facilitating the cleaning and organizing of the dataset. Additionally, the dataset includes information such as authors, titles, abstracts, and publication dates for each article. Researchers can utilize this dataset of metadata to analyse and investigate the evolution of the field of Behavioral Finance, using the published articles' keywords as a reference.


Steps to reproduce

The data has been acquired through the internal tools of each publisher (Elsevier, Taylor & Francis, Wiley…etc) and the ones that can be obtained from several R packages. Each of the documents was downloaded from their official editorial website, and then, the datapoints were extracted, by grouping each of the keywords or topics in R. Also, for the citations, an API was used to automatically obtain from the Google Scholar website, each of the articles’ citation figures.


Universidad Pontificia Comillas


Finance, Behavioral Finance, Textual Analysis


Universidad Pontificia Comillas