Childhood circumstances may impact senior health, prompting this study to introduce novel machine learning methods to assess their individual and collective contributions to health inequality in old age. Using the US Health and Retirement Study (HRS) and the China Health and Retirement...

Given the critical role of neurocognitive development in early life, this study assesses how racial differences in early-life circumstances are collectively and individually associated with racial disparities in late-life cognition. Leveraging uniquely rich information on life history from the...

Given the critical role of neurocognitive development in early life, this study assesses how racial differences in early-life circumstances are collectively and individually associated with racial disparities in late-life cognition. Leveraging uniquely rich information on life history from the...

Childhood circumstances may impact senior health, prompting this study to introduce novel machine learning methods to assess their individual and collective contributions to health inequality in old age. Using the US Health and Retirement Study (HRS) and the China Health and Retirement...

Given the critical role of neurocognitive development in early life, this study assesses how racial differences in early-life circumstances are collectively and individually associated with racial disparities in late-life cognition. Leveraging uniquely rich information on life history from the...

Given the critical role of neurocognitive development in early life, this study assesses how racial differences in early-life circumstances are collectively and individually associated with racial disparities in late-life cognition. Leveraging uniquely rich information on life history from the...

Childhood circumstances may impact senior health, prompting this study to introduce novel machine learning methods to assess their individual and collective contributions to health inequality in old age. Using the US Health and Retirement Study (HRS) and the China Health and Retirement...

Childhood circumstances may impact senior health, prompting this study to introduce novel machine learning methods to assess their individual and collective contributions to health inequality in old age. Using the US Health and Retirement Study (HRS) and the China Health and Retirement...

This paper examines the extent to which childhood circumstances contribute to health inequality in old age and how the contributions may vary across key dimensions of health. We link the China Health and Retirement Longitudinal Study (CHARLS) in 2013 and 2015 with its Life History Survey in 2014...

This paper estimates the extent to which childhood circumstances contribute to health inequality in old age and evaluates the importance of major domains of childhood circumstances to health inequalities in the USA and China. We link two waves of the China Health and Retirement Longitudinal...