published in: Review of Income and Wealth, 2022, 68 (4), 922-950
We present a comprehensive analysis of ex ante inequality of opportunity (IOp) in health among Chinese adults aged 60+ and decompose the contributions of different sets of circumstances. Data are drawn from the 2011 and 2015 waves of the China Health and Retirement Longitudinal Study (CHARLS) linked with the 2014 CHARLS Life History Survey. We use a range of blood-based biomarkers, and apply a re-centered influence function (RIF) approach and a Shapley-Shorrocks decomposition to partition the contribution of circumstances across different quantiles of the biomarker distributions.
We find that IOp accounts for between 3.75% and 29.57% of total health inequality in old age across the range of biomarkers. Shapley-Shorrocks decompositions show that spatial circumstances such as urban/rural residence and province of residence are the dominant determinants of IOp for most of the biomarkers. Distributional decompositions further reveal that the relative contributions to IOp in health of household socioeconomic status and health and nutrition conditions in childhood increase towards the right tails of the distribution for most of the biomarkers, where the clinical risk is focused.
We use cookies to provide you with an optimal website experience. This includes cookies that are necessary for the operation of the site as well as cookies that are only used for anonymous statistical purposes, for comfort settings or to display personalized content. You can decide for yourself which categories you want to allow. Please note that based on your settings, you may not be able to use all of the site's functions.
Cookie settings
These necessary cookies are required to activate the core functionality of the website. An opt-out from these technologies is not available.
In order to further improve our offer and our website, we collect anonymous data for statistics and analyses. With the help of these cookies we can, for example, determine the number of visitors and the effect of certain pages on our website and optimize our content.