As a result of recent advances in historical national accounting, estimates of GDP per capita are now available for a number of European economies back to the medieval period, including Britain, the Netherlands, Italy, and Spain. The approach has also been extended to Asian economies, including India and Japan. So far, however, China, which has been at the center of the Great Divergence debate, has been absent from this approach. This article adds China to the picture, showing that the Great Divergence began earlier than originally suggested by the California School, but later than implied by older Eurocentric writers.

We construct longitudinal data from U.S. census records to study the economics of the Dust Bowl migration of the 1930s. Most of our findings contradict long-standing perceptions. While migration rates were high relative to elsewhere in the United States, they were similar to migration rates from the region in the 1920s. Relative to other occupations, farmers were the least likely to move. Furthermore, migrants from the Dust Bowl were not exceptionally likely to move to California. Finally, there was negligible migrant selectivity, and migration was not associated with long-lasting negative labor market outcomes; indeed, for farmers, the gains from migration were positive.

We analyze patterns of informal information exchange by the English East India Company’s captains to assess the role of relational and institutional governance systems and uncertainty in encouraging information exchange. Using archival data from the emerging early-modern global trade network, we show that uncertainty drove information exchange. Relational-based contract enforcement mechanisms such as small group exchange were largely absent, and increasing institutional strength was associated with decreasing rates of information exchange. The results suggest that opportunity and demand were more important determinants of information exchange than the emergence of formal and informal governance systems.

Between 1880 and 1910, Japanese exports increased in volume, changed composition, and shifted from leading industrialized countries toward poorer Asian neighbors. Using a new dataset disaggregated by product and trade partner for the universe of Japanese exports, we find extensive margins accounted for 30 percent of export growth, with trade costs and market size associated with successful market entry. There was also considerable persistence in maintaining market presence and exit was rare. These stylized facts provide insight into both the country’s economic development, as reflected in its exported products, as well as the demand conditions of its trade partners.

We examine the role of irrigation in explaining U.S. agricultural gains post-1940. Specifically, we analyze how productivity and farm values changed in the western United States as a result of technological and policy changes that expanded access to ground and surface water. To statistically identify the effects, we compare counties based on their potential access to irrigation water defined by physical characteristics. We find areas with access to large streams and/or groundwater increase crop production relative to areas with only small streams by $19 billion annually, equivalent to 90 percent of the total annual increase in the western United States after 1940.

This article examines the impact of the 1850 Austro-Hungarian customs union on production land-use outcomes. Using newly digitized data from the Second Military Survey of the Habsburg Monarchy, we apply a spatial discontinuity design to estimate the impact of trade liberalization on land use. We find that the customs union increased cropland area by 8 percent per year in Hungary between 1850 and 1855, while forestland area decreased by 6 percent. We provide suggestive evidence that this result is not confounded by the emancipation of the serfs, population growth, or technological change in agriculture.

The 1918 Influenza Pandemic killed millions worldwide and hundreds of thousands in the United States. This article studies the impact of air pollution on pandemic mortality. The analysis combines a panel dataset on infant and all-age mortality with a novel measure of air pollution based on the burning of coal in a large sample of U.S. cities. We estimate that air pollution contributed significantly to pandemic mortality. Cities that used more coal experienced tens of thousands of excess deaths in 1918 relative to cities that used less coal with similar pre-pandemic socioeconomic conditions and baseline health. Factors related to poverty, public health, and the timing of onset also affected pandemic mortality. The findings support recent medical evidence on the link between air pollution and influenza infection, and suggest that poor air quality was an important cause of mortality during the pandemic.

In nineteenth century Britain atmospheric pollution from coal-fired industrialization was on the order of 50 times higher than today. We examine the effects of these emissions on child development by analysing the heights on enlistment during WWI of men born in England and Wales in the 1890s. We find a strong negative relationship between adult heights and the coal intensity of the districts in which these men were observed as children in the 1901 census. The subsequent decline in atmospheric pollution likely contributed to the long-term improvement in health and increase in height.