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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.
Persistent link: https://www.econbiz.de/10012651380
Using nine waves of data from Understanding Society (UKHLS), we study the expansion of higher education in the UK, since the landmark Robbins Report in 1963, and its consequences for levels of and inequalities in household income, physical and mental health. We estimate fixed effects models...
Persistent link: https://www.econbiz.de/10012581575
We designed an experiment to explore the extent of measurement error in body mass index (BMI), when based on self-reported body weight and height. We find that there is a systematic age gradient in the reporting error in BMI, while there is limited evidence of systematic associations with...
Persistent link: https://www.econbiz.de/10012612542
The economics of obesity literature implicitly assumes that measured anthropometrics are error-free and they are often treated as a gold standard when compared to self-reported data. We use factor mixture models to analyse and characterize measurement error in both self-reported and measured...
Persistent link: https://www.econbiz.de/10013270245
Persistent link: https://www.econbiz.de/10013207466
Persistent link: https://www.econbiz.de/10013184501
Persistent link: https://www.econbiz.de/10013185519
We designed an experiment to explore the extent of measurement error in body mass index (BMI), when based on self-reported body weight and height. We find that there is a systematic age gradient in the reporting error in BMI, while there is limited evidence of systematic associations with...
Persistent link: https://www.econbiz.de/10012608546
Persistent link: https://www.econbiz.de/10012806302
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...
Persistent link: https://www.econbiz.de/10012793106