Matthias Blum, Christopher L. Colvin, Eoin McLaughlin
How do famines shape the health of survivors? We examine the long-term impact of the Great Irish Famine (1845–1852) on human stature, distinguishing between adverse scarring effects and the apparent resilience of survivors due to selection. Using anthropometric data from over 14,500 individuals born before, during, and after this famine, we find that selection effects were most pronounced in areas with the highest mortality rates. Individuals born in severely affected regions exhibited no evidence of stunted growth, indicating that the Famine disproportionately eliminated the most vulnerable. In contrast, stunting is observed only in areas with lower excess mortality, where selective pressures were weaker. These findings contribute to debates on the biological consequences of extreme catastrophic risks, demonstrating how selection effects can obscure long-term health deterioration. More broadly, our study provides a methodological framework for assessing selection in historical anthropometric research.
Egidio Farina, Colin Green, Duncan McVicar
This article examines associations between precarious contract types and a range of self-reported health measures for the UK. We focus on zero hours contracts (ZHCs), an extreme form of precarious employment that has grown rapidly in the UK over the last decade, and on mental health. We demonstrate that workers employed on ZHCs are more likely to report a long-term health condition than workers employed on other types of contract, with the main driver being that they are almost twice as likely to report mental ill health. These associations survive conditioning on an extensive set of observable individual, job and contextual characteristics, and are robust to sensitivity analysis designed to explore the likely extent of bias due to unobserved confounders. We discuss potential explanations for these associations, from sorting of workers with poor health into ZHC employment to detrimental effects of ZHC employment on health, drawing on additional instrumental variables estimates to do so. Finally, we discuss potential policy implications.