Julius Koschnick

@juliuskoschnick.bsky.social

1063 Followers 235 Following

Assistant professor at the University of Southern Denmark. Economic history. Research topics: Long-run growth, the knowledge economy, education, and innovation

Flowchart sorting ML applications in economic history into three task types and the recommended strategy for handling bias in each

The Stockholm coefficient plot with the debiased (DSL) estimate added. It coincides with the true "oracle" gap and has a confidence interval much narrower than the labeled-only estimate.*

Line chart showing a BERT classifier's accuracy and F1 declining as the same texts are rewritten into progressively older linguistic styles, relative to its performance on modern text.*

Coefficient plot of the Stockholm 1920 gender wage gap. The naïve ML estimate is attenuated relative to the "oracle" estimate from true gender; the labeled-only estimate is unbiased but has a wide confidence interval

ML tool performance can decline when applied to archaic text

J.M.W. Turner - Rain, Steam and Speed

J.M.W. Turner – “Going to School, for Rogers's 'Poems'” and the quantitative landscape of vocational training and education in Britain

DiD results

The siege of Oxford

Stacked DiD approach

Region-based IV approach

A scholar standing in the Bodleian library

A scholar explaining a concept to a student

Isaac Newton

A student asking himself whether he should adopt the ideas of a traditional teacher or one working on the Scientific Revolution

An old scholar: created with midjourney

A seventeenth century student looking at his teachers and wondering whose ideas to adopt