While human capital is a strong predictor of economic development today, its importance for the Industrial Revolution has typically been assessed as minor. To resolve this puzzling contrast, we differentiate average human capital (literacy) from upper-tail knowledge. As a proxy for the historical presence of knowledge elites, we use city-level subscriptions to the famous Encyclopédie in mid-18th century France. We show that subscriber density is a strong predictor of city growth after the onset of French industrialization. Alternative measures of development such as soldier height, disposable income, and industrial activity confirm this pattern. Initial literacy levels, on the other hand, are associated with development in the cross-section, but they do not predict growth. Finally, by joining data on British patents with a large French firm survey from the 1840s, we shed light on the mechanism: upper-tail knowledge raised productivity in innovative industrial technology.

While there is strong evidence that more productive plants select into exporting, the literature has struggled to identify export-related efficiency gains within plants. We show that this is due to the common use of revenue-based productivity measures (TFPR): more efficient producers tend to charge lower prices, leading to a downward bias in TFPR. Using census panels of Chilean, Colombian, and Mexican manufacturing plants, we find sizable efficiency gains after export entry based on efficiency measures that are not affected by output prices. Evidence suggests that a complementarity between exporting and investment in technology is an important driver of these gains.

New technologies tend to be adopted slowly and – even after being adopted – take time to be reflected in higher aggregate productivity. One prominent explanation for these patterns is the need to reorganize production, which often goes hand-in-hand with major technological breakthroughs. We study a unique setting that allows us to examine the empirical relevance of this explanation: the adoption of mechanized cotton spinning during the First Industrial Revolution in France. The new technology required reorganizing production by moving workers from their homes to the newly-formed factories. Using a novel hand-collected plant-level dataset from French archival sources, we show that productivity growth in mechanized cotton spinning was driven by the disappearance of plants in the lower tail – in contrast to other sectors that did not need to reorganize when new technologies were introduced. We provide evidence that this was driven by organizational challenges such as developing optimal plant layout. A process of ‘trial and error’ led to initially low and widely dispersed productivity, and – in the subsequent decades – to high productivity growth as knowledge diffused through the economy and new entrants adopted improved methods of organizing production.

How persistent are cultural traits? Using data on anti-Semitism in Germany, we find local continuity over 600 years. Jews were often blamed when the Black Death killed at least a third of Europe’s population during 1348–50. We use plague-era pogroms as an indicator for medieval anti-Semitism. They reliably predict violence against Jews in the 1920s, votes for the Nazi Party, deportations after 1933, attacks on synagogues, and letters to Der Stürmer . We also identify areas where persistence was lower: cities with high levels of trade or immigration. Finally, we show that our results are not driven by political extremism or by different attitudes toward violence.

We analyze the emergence of the first socioeconomic institution in history limiting fertility: west of a line from St. Petersburg to Trieste, the European Marriage Pattern (EMP) reduced childbirths by approximately one-third between the fourteenth and eighteenth century. To explain the rise of EMP we build a two-sector model of agricultural production—grain and livestock. Women have a comparative advantage in animal husbandry. After the Black Death in 1348–1350, land abundance triggered a shift toward the pastoral sector. This improved female employment prospects, leading to later marriages. Using detailed data from England, we provide strong evidence for our mechanism.

This paper argues that Malthusian regimes are capable of sustained changes in per capita incomes. Shifting mortality and fertility schedules can lead to different steady-state income levels, with long periods of growth during the transition. Europe checked the downward pressure on wages through late marriage, which reduced fertility, and a mortality regime that combined high death rates with high incomes. We argue that both emerged as a result of the Black Death.