4 papers
How to deal with machine learning bias in economic history
Torben S. D. Johansen, Julius Koschnick, Christian Vedel
Machine learning (ML) has rapidly transformed economic history, lowering costs of digitization, data linkage, and imputation, and making information in historical text usable at sc…
Tracks to Modernity: Railroads, Growth, and Social Movements in Denmark
Tom Görges, Magnus Ørberg Rove, Paul Sharp +1
We examine how railroads shaped Denmark's nineteenth-century economic transformation and the diffusion of Grundtvigian institutions. Using a panel of 1589 parishes and a difference…
A Perfect Storm: First-Nature Geography and Economic Development
Christian Vedel
First-nature geography shapes the location of prosperity. I provide evidence by investigating the effects when it suddenly changes. In 1825 a storm breached the Agger Isthmus. This…
Breaking the HISCO Barrier: Automatic Occupational Standardization with OccCANINE
Christian Møller Dahl, Torben Johansen, Christian Vedel
This paper introduces OccCANINE, an open-source tool that maps occupational descriptions to HISCO codes. Manual coding is slow and error-prone; OccCANINE replaces weeks of work wit…