We explore the effect of oil import price shocks on political outcomes using a worldwide dataset on elections of chief executives. Oil import price shocks cause a reduction in the odds of reelection of incumbents, an increase in media chatter about fuel prices, and an increase in non-violent...

We use machine-learning methods to study the features and origins of the Baconian program, a cultural and methodological paradigm viewed as providing the intellectual roots for modern economic growth. After building a machine-readable corpus of Bacon's works, we estimate a structural topic...

We combine unsupervised machine-learning and econometric methods to examine cultural change in 16th- and 17th-century England. A machine-learning digest synthesizes the content of 57,863 texts comprising 83 million words into 110 topics. The topics include the expected, such as Natural...

We generate and analyze data pertinent to the role of caselaw in England's economic development during the Industrial Revolution. Applying topic modeling to a corpus of 67,455 reports on English court cases, we construct annual time series of caselaw developments between 1765 and 1865. We then...

Most development models emphasize a growth in the scope of individual choice as the law becomes impartial, relevant to all. An early expression of this conceptualization appeared in the 19th century, when Henry Maine coined his celebrated dictum that progressive societies move from status to...