We use machine-learning methods to study the features and origins of the ideas of Francis Bacon, a key figure who contributed to the intellectual roots of a cultural paradigm that spurred modern economic development. Bacon's works are the data in an estimation of a structural topic model, a...

We use machine-learning methods to study the features and origins of the ideas of Francis Bacon, a key figure who contributed to the intellectual roots of a cultural paradigm that spurred modern economic development. Bacon's works are the data in an estimation of a structural topic model, a...

We provide empirical insight into the consequences of the COVID-19 pandemic for the administration of justice. Drawing on a comprehensive monthly panel of Brazilian labor courts and using a difference-in-difference approach, we show that the pandemic has had a large and persistent deleterious...

This is the second of two papers that generate and analyze quantitative estimates of the development of English caselaw and associated legal ideas before the Industrial Revolution. In the first paper, we estimated a 100-topic structural topic model, named the topics, and showed how to interpret...