Salvation into Nation: Topic Modeling Early Modern Economic Writings
Early modern economic thought is often left out of histories of economic thought, but it was an important inflection point in the development of the modern science of economics. Using network clustering and topic modeling, this research describes the subjects covered in the economic literature of th...
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| Published in | OEconomia Vol. 13-2; no. 2; pp. 357 - 392 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Association Œconomia
01.01.2023
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| Subjects | |
| Online Access | Get full text |
| ISSN | 2113-5207 2269-8450 |
| DOI | 10.4000/oeconomia.15688 |
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| Abstract | Early modern economic thought is often left out of histories of economic thought, but it was an important inflection point in the development of the modern science of economics. Using network clustering and topic modeling, this research describes the subjects covered in the economic literature of the early modern era and how they change over time using a sample of 2,353 economics texts written from 1550 to 1700s. Topic modeling of the corpus produces sixty-six distinct topics. These topics are clustered using network science methods that reveal five main themes: trade, politics, travel, religion, and husbandry. Longitudinal analysis of the prevalence of topics shows increases in politics and decreases in travel, religion, and husbandry. The results also allow a more precise sense of when those shifts take place than has previously been established, implying that computational methods hold great promise for revealing new information and insights about the evolution and transformation of economic thought over time. |
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| AbstractList | Early modern economic thought is often left out of histories of economic thought, but it was an important inflection point in the development of the modern science of economics. Using network clustering and topic modeling, this research describes the subjects covered in the economic literature of the early modern era and how they change over time using a sample of 2,353 economics texts written from 1550 to 1700s. Topic modeling of the corpus produces sixty-six distinct topics. These topics are clustered using network science methods that reveal five main themes: trade, politics, travel, religion, and husbandry. Longitudinal analysis of the prevalence of topics shows increases in politics and decreases in travel, religion, and husbandry. The results also allow a more precise sense of when those shifts take place than has previously been established, implying that computational methods hold great promise for revealing new information and insights about the evolution and transformation of economic thought over time. Early modern economic thought is often left out of histories of economic thought, but it was an important inflection point in the development of the modern science of economics. Using network clustering and topic modeling, this research describes the subjects covered in the economic literature of the early modern era and how they change over time using a sample of 2,353 economics texts written from 1550 to 1700s. Topic modeling of the corpus produces sixty-six distinct topics. These topics are clustered using network science methods that reveal five main themes: trade, politics, travel, religion, and husbandry. Longitudinal analysis of the prevalence of topics shows increases in politics and decreases in travel, religion, and husbandry. The results also allow a more precise sense of when those shifts take place than has previously been established, implying that computational methods hold great promise for revealing new information and insights about the evolution and transformation of economic thought over time. La pensée économique du début de l’époque moderne est souvent laissée de côté par l’histoire de la pensée économique, alors que cette période représente un important tournant dans le développement des sciences économiques modernes. Cet article, en utilisant l’analyse de réseaux (topic clustering) et les modèles thématiques (topic modeling), décrit les thématiques traitées par la littérature économique du début de l’époque moderne et son évolution, en utilisant un échantillon de 2’353 textes économiques écrits entre 1550 et 1700. La modélisation thématique de ce corpus met en évidence soixante-six thématiques distinctes. Ces thématiques sont regroupées en utilisant les méthodes de l’analyse de réseaux, qui révèle alors cinq thématiques principales : le commerce, la politique, le voyage, la religion et l’administration domestique. Les résultats permettent également de donner un aperçu plus précis des temporalités des changements déjà identifiés par la littérature. Ces résultats suggèrent que les méthodes quantitatives constituent un choix prometteur pour mettre à jour des nouvelles connaissances et questionnements sur l’évolution et la transformation de la pensée économique. |
| Author | Erikson, Emily Yao, Keniel Karell, Daniel |
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| Title | Salvation into Nation: Topic Modeling Early Modern Economic Writings |
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