Based on the sample of The National Longitudinal Study of Adolescent to Adult Health (Add Health), we investigate the formation of health capital and the role played by genetic endowments, parental SES, and education. To measure genetic endowments we take advantage of the new availability of...

Based on the sample of The National Longitudinal Study of Adolescent to Adult Health (Add Health), we investigate the formation of health capital and the role played by genetic endowments, parental SES, and education. To measure genetic endowments we take advantage of the new availability of...

Understanding socioeconomic inequalities in health care is critical for achieving health equity. The aim of this paper is threefold: 1) to quantify inequality in diabetes health care service utilization; 2) to understand determinants of these inequalities in relation to socio-demographic and...

Is there a link between sexuality and poverty? If so, has this relationship changed over time? What anti-poverty policies might be relevant to address issues related to sexuality and poverty? The report synthesises literature and adds top-line findings from the UK Household Longitudinal Study....

Gaps in child development by socioeconomic status (SES) start early in life, are large and can increase inequalities later in life. We use recent national-level, cross-sectional and longitudinal data to examine inequalities in child development (namely, language, cognition, and socio-emotional...

Researchers often rely on household survey data to investigate health disparities and the incidence and prevalence of illness. These self-reported health measures are often biased due to information asymmetry or differences in reference groups. Using the World Health Organization study on global...

Mental disorders have a large impact on invalidity and mortality. Poor mental health is associated with low education, which is also associated with poor health and higher mortality. The association between mental health and mortality may, therefore, be partly explained by the increased...

Recent studies have shown that COVID-19 affects different population groups asymmetrically. This work uses data from the National Survey of Households-PNAD COVID-19/IBGE-to quantify the socioeconomic inequality in health during the first wave of COVID-19 infections in Brazil. We use the...

This paper extends the earlier work of Davillas and Jones (2021) on socioeconomic inequality in mental health, measured by the General Health Questionnaire (GHQ), to include the second national lockdown up to March 2021.

We use data from the UK Household Longitudinal Study (UKHLS) to compare measures of socioeconomic inequality in psychological distress, measured by the General Health Questionnaire (GHQ), before (Waves 9 and the Interim 2019 Wave) and during the first wave of the COVID-19 pandemic (April to July...