In an attempt to divide and marginalize the black population, the apartheid regime forcefully relocated some 3.5 million South Africans to rural homelands between 1960 and 1980. This event, considered one of history’s largest social engineering exercises, created overcrowded and economically deprived communities of displaced people. This article uses geo-coded data to explore the long-term effects of removals on current measures of social capital. Comparing people within the same homeland, I show that those living close to former resettlement camps have higher levels of trust towards members of their social network, people in general, and members of other ethnic groups. These findings are important, as solidarity among suppressed people is believed to be a critical factor in explaining the demise of the apartheid regime.

I present evidence that shocks to the Medieval English harvest persisted. Hypothesized mechanisms include varying supplies of seed corn and other complementary harvest inputs. Peasants are modeled as trading off current consumption against grain stores and sow rates so that subsistence-level shocks may persist. For my sample I find that a failed harvest increased the probability of subsequent harvest failure by 20–30 percent. Grain yields are analyzed as a strongly balanced panel by year, manor, and crop. While I reject the hypothesis that harvests were self-contained annual events, I caution against linking harvest persistence directly to runs in grain prices.

We provide the first estimates of immigrant residential segregation between 1850 and 1940 that cover the entire United States and are consistent across time and space. To do so, we adapt the Logan–Parman method to immigrants by measuring segregation based on the nativity of the next-door neighbor. In addition to providing a consistent measure of segregation, we also document new patterns such as high levels of segregation in rural areas, in small factory towns and for non-European sources. Early twentieth-century immigrants spatially assimilated at a slow rate, leaving immigrants’ lived experience distinct from natives for decades after arrival.

The Gold Pool was probably the most ambitious case of central bank cooperation in history. Major central banks pooled interventions to stabilize the dollar price of gold. Why did it collapse? From at least 1964, the fate of the Pool was, in fact, tied to sterling, the first line of defense for the dollar. Sterling’s devaluation in November 1967 eventually spurred speculation and unbearable losses for the Pool. Inflationary U.S. policies were weakening confidence in the dollar. The demise of the Pool provides a striking example of contagion between reserve currencies and the limits of central bank cooperation.

This article presents evidence that cultural proximity between the exporting and the receiving countries positively affects the adoption of new institutions and the resulting long-term economic outcomes. We obtain this result by combining new information on pre-Napoleonic principalities with county-level census data from nineteenth-century Prussia. We exploit a quasi-natural experiment generated by radical Napoleonic institutional reforms and the deeply rooted cultural heterogeneity across Prussian counties. We show that institutional reforms in counties that are culturally more similar to France, in terms of religious affiliation, generate better long-term economic performance.

This article analyzes the integration of the Spanish money market in the nineteenth century. We use a Band-Threshold Autoregression model of prices of bills-of-exchange in ten cities to measure market convergence and efficiency in 1825–1875. While price gaps generally decreased during the period, progress in efficiency was limited to a small group of cities. We suggest that convergence was associated to the reduction in transaction costs, which started well before the railways through improvements in roads and postal services. By contrast, the heterogeneous behavior of efficiency might be associated to economic geography changes and their effects on monetary leadership.

Bodenhom, Guinnane, and Mroz (2017) are critical of anthropometric research using based on non-random samples. Declining height trends in military and prison data, they argue, are artifacts of negative selection during favorable labor market conditions. We study height trends in the United States in the antebellum decades, which coincided with the onset of modem economic growth. We find that neither the historical evidence nor their own statistical analysis support their views. The decline in physical stature in the decades before the Civil War was real, as Zimran (2019) has also shown.

Our 2017 article in this Journal stresses the pitfalls of using choice-based samples in economic history. A prominent example is the literature addressing the so-called antebellum puzzle. Heights researchers claim that Americans grew shorter in the first half of the nineteenth century, a period of robust economic growth. We argue that this result relies on choice-based samples. Without knowing the process that led to inclusion in the sample, researchers cannot properly estimate conditional mean heights. We proposed a diagnostic that can detect, but not correct for, selection bias. Komlos and A’Hearn’s interpretation of our analysis confuses diagnosis with cure. We dispute their view that selection bias has been appreciated in the heights literature.