Specialization trends in economics research: A large-scale study using natural language processing and citation analysis

IF 1.3 4区经济学 Q2 ECONOMICS

Economic Inquiry Pub Date : 2024-11-02 DOI:10.1111/ecin.13261

Sebastian Galiani, Ramiro H. Gálvez, Ian Nachman

引用次数: 0

Abstract

This article conducts a comprehensive analysis of specialization trends within and across fields of economics research. We collect data on 24,273 articles published between 1970 and 2016 in general research economics outlets and employ machine learning techniques to enrich the collected data. Results indicate that theory and econometric methods papers are becoming increasingly specialized, with a narrowing scope and steady or declining citations from outside economics and from other fields of economics research. Conversely, applied papers are covering a broader range of topics, receiving more extramural citations from fields like medicine, and psychology. Trends in applied theory articles are unclear.

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经济学研究的专业化趋势：使用自然语言处理和引文分析的大规模研究

本文对经济学研究领域内部和跨领域的专业化趋势进行了全面分析。我们收集了1970年至2016年间在一般研究经济学网点发表的24,273篇文章的数据，并使用机器学习技术来丰富收集到的数据。结果表明，理论和计量经济学方法的论文越来越专业化，范围越来越窄，来自经济学以外和其他经济学研究领域的引用量稳定或下降。相反，应用论文涵盖了更广泛的主题，从医学和心理学等领域获得了更多的校外引用。应用理论文章的趋势尚不清楚。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Economic Inquiry ECONOMICS-

CiteScore

3.80

自引率

5.60%

发文量

期刊介绍： Published since 1962, (formerly Western Economic Journal), EI is widely regarded as one of the top scholarly journals in its field. Besides containing research on all economics topic areas, a principal objective is to make each article understandable to economists who are not necessarily specialists in the article topic area. Nine Nobel laureates are among EI long list of prestigious authors.