One Sentence at a Time: A Quantitative History of Rationality in Economic Thought
Thomas Delcey (),
Aurélien Goutsmedt () and
Alexandre Truc ()
Additional contact information
Thomas Delcey: LEDi - Laboratoire d'Economie de Dijon [Dijon] - UBE - Université Bourgogne Europe
Aurélien Goutsmedt: ICHEC - Brussels Management School [Bruxelles], ISPOLE - Institut de Sciences politiques Louvain-Europe - UCL - Université Catholique de Louvain = Catholic University of Louvain
Alexandre Truc: GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur
Working Papers from HAL
Abstract:
This article demonstrates how unsupervised quantitative methods can enrich the history of economic thought. Using the largest English-language corpus ever assembled for the field-nearly 290,000 economics journal articles from 1900 to 2009 with citation data-we analyze the evolution of the concept of rationality. Combining large language model-based semantic analysis with bibliometric and network methods, we identify and cluster discussions of rationality across time and scales, such as the circulation of bounded rationality and the emergence of behavioral economics. We provide an open-source interactive tool to support transparency and reuse.
Keywords: rationality; Bounded rationality; economics history; bibliometrics; behavioral economics; natural language processing; large language models; Text mining (search for similar items in EconPapers)
Date: 2025-12-23
Note: View the original document on HAL open archive server: https://hal.science/hal-05431080v1
References: Add references at CitEc
Citations:
Downloads: (external link)
https://hal.science/hal-05431080v1/document (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-05431080
Access Statistics for this paper
More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD ().