This article offers the first multivariate regression study of international migration in early modern Europe. Using unique eighteenth-century data about maritime workers, we created a data set of migration flows among European countries to examine the role of factors related to geography, population, language, the market, and chain migration in explaining the migration of these workers across countries. We show that among all factors considered in our multivariate analysis, the geographical characteristics of the destination countries, size of port towns, and past migrations are among the most robust and quantitatively the most important factors influencing cross-country migration flows.

中文翻译：

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现代早期欧洲国际移民的决定因素：来自海事部门的证据，c。1700–1800

本文提供了对近代早期欧洲国际移民的第一次多元回归研究。利用 18 世纪有关海事工人的独特数据，我们创建了一个欧洲国家之间的移民流动数据集，以检验与地理、人口、语言、市场和链式移民相关的因素在解释这些工人跨国迁移方面的作用. 我们表明，在我们的多元分析中考虑的所有因素中，目的地国的地理特征、港口城镇的规模和过去的移民是影响跨国移民流动的最稳健和数量上最重要的因素。