In this paper we look at the relationship between health and income as mediated by "lifestyle" choices; that is, a set of behaviours which are thought to influence health and are generally considered to invoke a substantial degree of free choice. The main underlying assumption is that...

Using several waves of the China Health and Nutrition Survey (CHNS), this study analyzes the effect of long work hours on health and lifestyles in a sample of 18- to 65-year-old Chinese workers. Although working long hours does significantly increase the probabilities of high blood pressure and...

In an influential study Case et al. (2002) documented a positive relationship between family income and child health in the US, with the slope of the gradient being larger for older than younger children. In this paper we explore the child health income gradient in England, which has a...

We measure unfair health inequality in the UK using a novel data-driven empirical approach. We explain health variability as the result of circumstances beyond individual control and health-related behaviours. We do this using model-based recursive partitioning, a supervised machine learning...

COVID-19 has affected daily life in unprecedented ways. Using a longitudinal dataset linking biometric and survey data from several cohorts of young adults before and during the pandemic (N=685), we document large disruptions to physical activity, sleep, time use, and mental health. At the onset...

We go beyond estimating the effect of college attainment on longevity by uncovering the mechanisms behind this effect while controlling for latent skills and unobserved heterogeneity. We decompose the effect with respect to a large set of potential mechanisms, including health behaviors,...

We use the high IQ Terman sample to estimate relationships between education, socioemotional skills, and health-related outcomes that include health behaviors, lifestyles, and health measures across the lifecycle. By both focusing on a high IQ sample and controlling for IQ in regression models,...

We estimate short- and long-term causal impacts of a type-2 diabetes mellitus (T2DM) diagnosis on lifestyle behaviours. We employ a fuzzy regression discontinuity design exploiting the exogenous cut-off value in the diagnosis of T2DM provided by a biomarker (glycated haemoglobin, HbA1c). We make...

During the first wave of the COVID-19 pandemic, Shanghai implemented lockdown measures to stop transmission of the virus. Over 26 million residents, including 0.8 million children aged 3-6, were confined at home. This study leveraged a city-wide cohort of preschool children - the Shanghai...