Reconstructing History: Using Language to Estimate Religious Spread
成果类型:
Article
署名作者:
Blouin, Arthur; Dyer, Julian
署名单位:
University of Toronto; University of Exeter
刊物名称:
JOURNAL OF ECONOMIC HISTORY
ISSN/ISSBN:
0022-0507
DOI:
10.1017/S0022050725100867
发表日期:
2025
关键词:
automated linking
TRADE
摘要:
We introduce a data-driven approach to use language to reconstruct history, and apply the methodology to estimate the geographic origins of religious spread. To validate the approach, we use language data to estimate origins of Islam and Buddhism to within 500km of their true (and uncontested) origins. We then apply the methodology to the more complex (and contested) cases of Christianity, Judaism, and Hinduism. We show that language-based estimates, in these cases, are significantly more aligned with the origin of scripture than with the origin of the religion.