We study the impact of work loss on mental health during the COVID-19 pandemic. Combining data on work loss and health care consultations from comprehensive individual-level register data, we define groups of employees delineated by industry, region, age, and gender. With these groups, we use a...

We study the impact of work loss on mental health during the COVID-19 pandemic. Combining data on work loss and health care consultations from comprehensive individual-level register data, we define groups of employees delineated by industry, region, age, and gender. With these groups, we use a...

Evidence for the short-term impact of early intervention on childhood health is weak and inconsistent. Using rigorous methods, careful hypothesis setting, and socioeconomic contextualisation, we examine the impact of an Irish home visiting programme on child health. The treatment provides...

This paper sheds light on the impact of the COVID-19 policy measures on a wide set of career expectations, occupational beliefs, and well-being of high-school students in their final grades. For this purpose, we use a unique panel data collection, which surveyed around 6,000 students in their...

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...

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...

We use data from Wave 9 of UK Household Longitudinal Study (UKHLS) and the April 2020 Wave of the UKHLS COVID-19 survey to compare measures of ex ante inequality of opportunity (IOp) in psychological distress, as measured by the General Health Questionnaire (GHQ), before (Wave 9) and at the...

We use data from Wave 9 of UK Household Longitudinal Study (UKHLS) and the April 2020 Wave of the UKHLS COVID-19 survey to compare measures of ex ante inequality of opportunity (IOp) in psychological distress, as measured by the General Health Questionnaire (GHQ), before (Wave 9) and at 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.

This paper documents a longitudinal crisis of midlife among the inhabitants of rich nations. Yet middle-aged citizens in our data sets are close to their peak earnings, have typically experienced little or no illness, reside in some of the safest countries in the world, and live in the most...