We investigate the utilisation of primary and secondary public healthcare services and the consequent public costs, using data from the British Understanding Society household panel. We use a sample of 2,314 adults who, at baseline in 2010/11, reported no history of diagnosed long-lasting health...

We develop an empirical approach to analyse, measure and decompose Inequality of Opportunity (IOp) in health, based on a latent class model. This addresses some of the limitations that affect earlier work in this literature concerning the definition of types, such as partial observability, the...

This paper adds to the literature on the income-health gradient by exploring the association of short- and long-term income with a wide set of self-reported health measures and objective nurse-administered and blood-based biomarkers as well as employing estimation techniques that allow for...

This paper analyses the relationship between health and socioeconomic status accounting for the role of breadth and persistence of multiple deprivation. Adopting a holistic approach to multidimensional deprivation, we construct measures of absolute and relative deprivation and use these measures...

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...

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...

This paper uses data from Understanding Society: the UK Household Longitudinal Study to explore the association between fuel poverty and a set of well-being outcomes: life-satisfaction, self-reported health measures and more objectively measured biomarker data. Over and above the conventional...