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For the past 80 years, social scientists have been linking historical censuses across time to study economic and geographic mobility. In recent decades, the quantity of historical census record linkage has exploded, owing largely to the advent of new machine-readable data created by genealogical organizations. Investigators are examining economic and geographic mobility across multiple generations and also engaging many new topics. Several analysts are exploring the effects of early-life socioeconomic conditions, environmental exposures, or natural disasters on family, health, and economic outcomes in later life. Other studies exploit natural experiments to gauge the impact of policy interventions such as social welfare programs and educational reforms. The new data sources have led to a proliferation of record linkage methodologies, and some widespread approaches inadvertently introduce errors that can lead to false inferences. A new generation of large-scale shared data infrastructure now in preparation will ameliorate weaknesses of current linkage methods.

The British colonization of New Zealand after 1840 was marked by an unusual concern compared to other settler colonies for incorporating the indigenous population Māori population into the new society. But despite a continuing political rhetoric of protection and sovereignty Māori have historically had lower living standards and, since the 1920s, higher rates of incarceration than European-descended New Zealanders (Pākehā). In this paper we examine differences between Māori and Pākehā over 130 years using prison records. Aggregate data from the Ministry of Justice show long-term change and differences in incarceration rates. Using a dataset of all extant registers of men entering New Zealand prisons we show change over time in convictions and in height. The adult statures of Māori and Pākehā were similar for men born before 1900 but marked differences emerged among cohorts born during the twentieth century. By World War II the gap in adult stature widened to around 3 cm, before narrowing for men born after World War II. Periods of divergence in stature are paralleled by divergence in fertility and indicators of family size, suggesting the possibility that increasing fertility stressed the economic situation of Māori families. The prison evidence suggests that inequalities in 'net nutrition' between Māori and Pākehā are long-standing but not unchanging, indeed they increased for cohorts born into the early 20th century. A subset of the data describing adolescents confirms that among those born after 1945 the ethnic differential was already visible by the age of 16 years.

During the late nineteenth century, the physical stature of New Zealand‐born men stagnated, despite an apparently beneficial public health environment and growth in per‐capita incomes. We examine trends and differentials in male stature through World War I enlistment and casualty records. Stature varied by social class, with professionals and men in rural occupations substantially taller than their peers. There is not enough evidence to show that the indigenous Maori population differed in height from men of European descent. Stagnation in stature in late nineteenth‐century New Zealand is consistent with patterns observed in Australia, North America, and Western Europe.

The authors review the methodology and findings of economic evaluations of 42 community mental health care programs reported in the English-language literature between 1979 and 2003. There were three substantial methodological problems in the literature: costs were often not completely specified, the quality of econometric analysis was often low, and most evaluations failed to integrate cost and health outcome information. Well-conducted research shows that care in the community dominates hospital in-patient care, achieving better outcomes at lower or equal cost. It is less clear what types of community programs are most cost-effective. Future research should focus on identifying which types of community care are most cost effective and at what level of intensity they are most effective.

Big data is an exciting prospect for the field of economic history, which has long depended on the acquisition, keying, and cleaning of scarce numerical information about the past. This article examines two areas in which economic historians are already using big data – population and environment – discussing ways in which increased frequency of observation, denser samples, and smaller geographic units allow us to analyze the past with greater precision and often to track individuals, places, and phenomena across time. We also explore promising new sources of big data: organically created economic data, high resolution images, and textual corpora.

AbstractDoes education change people's lives in a way that delays mortality? Or is education primarily a proxy for unobserved endowments that promote longevity? Most scholars conclude that the former is true, but recent evidence based on Danish twin data calls this conclusion into question. Unfortunately, these potentially field-changing findings—that obtaining additional schooling has no independent effect on survival net of other hard-to-observe characteristics—have not yet been subject to replication outside Scandinavia. In this article, we produce the first U.S.-based estimates of the effects of education on mortality using a representative panel of male twin pairs drawn from linked complete-count census and death records. For comparison purposes, and to shed additional light on the roles that neighborhood, family, and genetic factors play in confounding associations between education and mortality, we also produce parallel estimates of the education-mortality relationship using data on (1) unrelated males who lived in different neighborhoods during childhood, (2) unrelated males who shared the same neighborhood growing up, and (3) non-twin siblings who shared the same family environment but whose genetic endowments vary to a greater degree. We find robust associations between education and mortality across all four samples, although estimates are modestly attenuated among twins and non-twin siblings. These findings—coupled with several robustness checks and sensitivity analyses—support a causal interpretation of the association between education and mortality for cohorts of boys born in the United States in the first part of the twentieth century.