Examining the Role of Training Data for Supervised Methods of Automated Record Linkage: Lessons for Best Practice in Economic History
During the past decade, scholars have produced a vast amount of research using linked historical individual-level data, shaping and changing our understanding of the past. This linked data revolution has been powered by methodological and computational advances, partly focused on supervised machine-learning methods that rely on training data. The importance of obtaining high-quality training data
