Counting feminist economics: Areas, geography, and trends of research

This is the authors' abstract. We don't add key points for this paper.

This study employs bibliometric analysis to map the intellectual structure and evolution of feminist economics, using articles published in the journal Feminist Economics (1995–2021). Natural language processing and big data analysis — including descriptive statistics, frequency analysis, TF–IDF, LDA, and agglomerative clustering — reveal the patterns of knowledge production in the field. We apply two complementary clustering techniques: LDA, a probabilistic topic model, and agglomerative clustering, a hierarchical method. This cross-validates the research themes identified and mitigates the limitations of each approach. The result is a classification into five key areas: theory and methods, household and care economics, labor economics, open macroeconomics, and development economics. Analysis of key words, abstracts, and author data maps global knowledge production and reveals a highly uneven distribution, concentrated in the U.S. and other advanced English-speaking countries. Context analysis also captures distinct usage patterns for the terms “gender” and “feminist.”