Exploiting a 1960s government trial in Copenhagen, we study the long-run and inter-generational effects of preventive care for toddlers. We combine administrative data with handwritten nurse records to document universal treatment take-up and positive health effects for treated children over the...

This paper introduces a new tool, OccCANINE, to automatically transform occupational descriptions into the HISCO classification system. The manual work involved in processing and classifying occupational descriptions is error-prone, tedious, and time-consuming. We finetune a preexisting language...

Methods for linking individuals across historical data sets, typically in combination with AI based transcription models, are developing rapidly. Probably the single most important identifier for linking is personal names. However, personal names are prone to enumeration and transcription errors...

This paper introduces a new tool, OccCANINE, to automatically transform occupational descriptions into the HISCO classification system. The manual work involved in processing and classifying occupational descriptions is error-prone, tedious, and time-consuming. We finetune a preexisting language...

Exploiting a 1960s government trial in Copenhagen, we study the long-run and inter-generational effects of preventive care for toddlers. We combine administrative data with handwritten nurse records to document universal treatment take-up and positive health effects for treated children over the...

This paper investigates the effects of the staggered roll-out of a pollution reduction programme introduced in the UK in the 1950s. The policy allowed local authorities to introduce so-called "Smoke Control Areas" (SCAs) which banned smoke emissions. We start by digitizing historical pollution...