Socioeconomic deprivation, health and healthcare utilisation among millennials.

This study estimates and decomposes components of different measures of inequality in health and healthcare use among millennial adolescents, a sizeable cohort of individuals at a critical stage of life. Administrative data from the UK Hospital Episode Statistics are linked to Next Steps, a survey collecting information about millennials born between 1989 and 1990, providing a uniquely comprehensive source of health and socioeconomic variables. Socioeconomic inequalities in psychological distress, long-term illness and the use of emergency and outpatient hospital care are measured using a corrected concentration index.

A systematic review and meta-analysis on the effects of ill health and health shocks on labour supply.

Background: Several studies have explored the effects of ill health and health shocks on labour supply. However, there are very few systematic reviews and meta-analyses in this area. The current work aims to fill this gap by undertaking a systematic review and meta-analysis on the effects of ill health and health shocks on labour supply.

Sick and depressed? The causal impact of a diabetes diagnosis on depression.

Background: There is sparse evidence on the impact of health information on mental health as well as on the mechanisms governing this relationship. We estimate the causal impact of health information on mental health via the effect of a diabetes diagnosis on depression.

Methods: We employ a fuzzy regression discontinuity design (RDD) exploiting the exogenous cut-off value of a biomarker used to diagnose type-2 diabetes (glycated haemoglobin, HbA1c) and information on psycometrically validated measures of diagnosed clinical depression drawn from rich administrative longitudinal individual-level data from a large municipality in Spain.

Does caring for others affect our mental health? Evidence from the COVID-19 pandemic.

Despite a growing literature about the mental health effects of COVID-19, less is known about the psychological costs of providing informal care during the pandemic. We examined longitudinal data from the UK's Understanding Society Survey, including eight COVID surveys, to estimate fixed effects difference-in-differences models combined with matching, to explore the causal effects of COVID-19 among informal carers. While matching accounts for selection on observables into caregiving, multiple period difference-in-differences specifications allow investigation of heterogeneous mental health effects of COVID-19 by timing and duration of informal care.

Does health information affect lifestyle behaviours? The impact of a diabetes diagnosis.

Despite an increasing interest in the effect of health information on health-behaviours, evidence on the causal impact of a diagnosis on lifestyle factors is still mixed and does not often account for long-term effects. We explore the role of health information in individual health-related decisions by identifying the causal impact of a type-2 diabetes diagnosis on body mass index (BMI) and lifestyle behaviours. We employ a fuzzy regression discontinuity design (RDD) exploiting the exogenous cut-off value in the diagnosis of type-2 diabetes provided by a biomarker (glycated haemoglobin) drawn from unique administrative longitudinal data from Spain.

Uncontrolled diabetes and health care utilisation: A bivariate latent Markov model approach.

Although uncontrolled diabetes (UD) or poor glycaemic control is a widespread condition with potentially life-threatening consequences, there is sparse evidence of its effects on health care utilisation. We jointly model the propensities to consume health care and UD by employing an innovative bivariate latent Markov model that allows for dynamic unobserved heterogeneity, movements between latent states and the endogeneity of UD. We estimate the effects of UD on primary and secondary health care consumption using a panel dataset of rich administrative records from Spain and measure UD using a biomarker.