scholarly journals Ex ante Inequality of Opportunity in Health among the Elderly in China: A Distributional Decomposition Analysis of Biomarkers

2021 ◽  
Author(s):  
Lanlin Ding ◽  
Andrew M. Jones ◽  
Peng Nie
Keyword(s):  
Decomposition Analysis ◽  
The Elderly ◽  
Inequality Of Opportunity ◽  
Ex Ante

scholarly journals Measurement of inequality of opportunity: A normative approach

2021 ◽  
Author(s):  
Kristof Bosmans ◽  
Z. Emel Öztürk
Keyword(s):  
Income Distribution ◽  
Social Welfare ◽  
Inequality Of Opportunity ◽  
Welfare Gain ◽  
Allocation Rules ◽  
Normative Approach ◽  
Ex Post ◽  
Ex Ante ◽  
Measurement Of Inequality

AbstractWe develop a normative approach to the measurement of inequality of opportunity. That is, we measure inequality of opportunity by the welfare gain obtained in moving from the actual income distribution to the optimal income distribution of the total available income. Our study brings together the main approaches in the literature: we axiomatically characterize social welfare functions, we obtain prominent allocation rules as their optima, and we derive familiar classes of inequality of opportunity measures. Our analysis captures moreover the key philosophical distinctions in the literature: ex post versus ex ante compensation, and liberal versus utilitarian reward.

scholarly journals Urban-Rural and Gender Differential in Depressive Symptoms Among Elderly in India

2021 ◽  
Author(s):  
Shubham Kumar ◽  
Shekhar Chauhan ◽  
Ratna Patel ◽  
Manish Kumar
Keyword(s):  
Depressive Symptoms ◽  
Urban Areas ◽  
Health Care Services ◽  
Decomposition Analysis ◽  
The Elderly ◽  
Outcome Variable ◽  
Bivariate Analysis ◽  
Related Inequality ◽  
Prevalence Of Depression ◽  
Urban Rural

Abstract Background To date, evidence remained inconclusive explaining rural-urban and male-female differential in depression. Unlike other previous research on the association of several risk factors with depressive symptoms among the elderly, this study focussed on the socio-economic status-related inequality in the prevalence of depression among the elderly along with focussing urban-rural and male-female gradients of depression among the elderly. Methods This study used data from Longitudinal Ageing Study in India (LASI) wave-I, 2017-18, survey. The outcome variable for this study was self-reported depression. Bivariate analysis was used to understand the prevalence by sociodemographic clusters. Fairlie decomposition analysis has been done to measures rural-urban inequalities for depression among older men and women. Results Results found that around 22 percent of urban elderly and 17 percent of rural elderly reported depression. A higher proportion of female elderly (22.6% vs. 18.4%) reported depression than male elderly. Almost one in every five elderly (20.6%) reported depression in India. The results found that a higher percentage of women in rural and urban areas reported depression than their male counterparts. While examining SES-related inequality in the prevalence of depression, education was a significant factor explaining the SES-related inequality in the prevalence of depression among female elderly and not in male elderly. Conclusion Given the large proportion of elderly reporting depression, this study highlights the need for improving health care services among the elderly. The increasing burden of depression in specific sub-populations also highlights the importance of understanding the broader consequences of depression among rural and female elderly.

scholarly journals Health Disparities between the Rural and Urban Elderly in China: A Cross-Sectional Study

2021 ◽  
Vol 18 (15) ◽  
pp. 8056
Author(s):  
Jian Zhang ◽  
Dan Li ◽  
Jianmin Gao
Keyword(s):  
Health Disparities ◽  
Rural Health ◽  
Rural Areas ◽  
Decomposition Analysis ◽  
The Elderly ◽  
Rural Elderly ◽  
Urban Elderly ◽  
Rural And Urban ◽  
Urban Rural ◽  
Urban And Rural Areas

Background: China is becoming an aging society, and the proportion of the population aged 60 years and above is increasing. There is a dualistic urban–rural economic structure between urban and rural areas in China, but there are few comparative health studies on the self-assessed health (SAH) status of the elderly between urban and rural areas. The aim of this study is to explore the SAH status of the elderly in China, and to identify the health disparity between the urban and rural elderly. Methods: The data from the fourth wave of the China Health and Retirement Longitudinal Study (CHARLS) in 2018 were adopted. A total of 9630 participants aged 60 and above were included in this study. SAH was used as the indicator, measuring the health status. Fairlie decomposition analysis was conducted to find the SAH disparity. Results: The proportion of good SAH of the rural elderly (24.01%) was significantly higher than the urban elderly (19.99%). The association of SAH was widely different between the rural and urban elderly. There was a stronger association between SAH and sleeping time in the urban elderly (Odds ratios (OR) = 3.347 of 4–8 hours; OR = 3.337 of above 8 hours) than the rural elderly (OR = 1.630 of 4–8 hours; OR = 2.293 of above 8 hours). Smoking and social activity were significant only in the urban elderly, while region and assets were significant only in the rural elderly. Drinking (11.45%), region (−33.92%), and assets (73.50%) were the main factors contributing to the urban–rural health disparities. Conclusions: This is the first comparative study examining SAH disparity, focusing on the elderly aged 60 and above in China. From the perspective of drinking, region, and assets, our study highlighted substantial urban–rural health disparities, and provided evidence for policy making on narrowing the health gap between urban and rural areas in China.

scholarly journals Changes in Perceived Accessibility to Healthcare from the Elderly between 2005 and 2014 in China: An Oaxaca–Blinder Decomposition Analysis

2019 ◽  
Vol 16 (20) ◽  
pp. 3824 ◽  
Author(s):  
Zhang ◽  
Liu ◽  
Liu
Keyword(s):  
Insurance Coverage ◽  
Decomposition Analysis ◽  
The Elderly ◽  
Access To Healthcare ◽  
Lower Income ◽  
Enabling Factors ◽  
Explanatory Variables ◽  
Healthy Longevity ◽  
Policy Interventions ◽  
Over Time

Elderly people are characterized with high needs for healthcare, accompanied by high barriers in access to healthcare. This study aimed to identify temporal changes in access to healthcare and determinants of such changes from the elderly in China, over the period between 2005 and 2014. Two waves (2005 and 2014) of data were extracted from the Chinese Longitudinal Healthy Longevity Survey (CLHLS), measuring changes in perceived accessibility to healthcare when needed by the elderly (≥65 years). The effects of the explanatory variables (need, predisposing and enabling factors) on the changes were divided into two components using the Oaxaca–Blinder decomposition method: (1) the endowment portion as a result of distribution differences of the explanatory variables and (2) the coefficient portion as a result of differential responses of the dependent variable to the explanatory variables. Perceived accessibility to healthcare from the elderly increased from 89.6% in 2005 to 96.7% in 2014. The coefficient portion (82%) contributed more to the change than the endowment portion (63%) after adjustments for a negative interaction effect (−45%) between the two. Lower perceived accessibility was associated with older age, lower income, lower affordability of daily expenses and lower insurance coverage. But the coefficient effects suggested that their impacts on perceived accessibility to healthcare declined over time. By contrast, the impacts of gender and out-of-pocket payment ratio for medical care on perceived accessibility to healthcare increased over time. Perceived accessibility to healthcare from the elderly improved between 2005 and 2014. Gender gaps are closing. But the increased effect of out-of-pocket medical payments on perceived accessibility to healthcare deserves further investigation and policy interventions.

scholarly journals Spatial pattern of COVID-19 deaths and infections in small areas of Brazil

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246808
Author(s):  
Everton Emanuel Campos de Lima ◽  
Ezra Gayawan ◽  
Emerson Augusto Baptista ◽  
Bernardo Lanza Queiroz
Keyword(s):  
Access To Health Care ◽  
Decomposition Analysis ◽  
The Elderly ◽  
Small Areas ◽  
The North ◽  
Lower Socioeconomic ◽  
Spatially Distributed ◽  
Spatial Autoregressive ◽  
Using Data ◽  
Health Situation

As of mid-August 2020, Brazil was the country with the second-highest number of cases and deaths by the COVID-19 pandemic, but with large regional and social differences. In this study, using data from the Brazilian Ministry of Health, we analyze the spatial patterns of infection and mortality from Covid-19 across small areas of Brazil. We apply spatial autoregressive Bayesian models and estimate the risks of infection and mortality, taking into account age, sex composition of the population and other variables that describe the health situation of the spatial units. We also perform a decomposition analysis to study how age composition impacts the differences in mortality and infection rates across regions. Our results indicate that death and infections are spatially distributed, forming clusters and hotspots, especially in the Northern Amazon, Northeast coast and Southeast of the country. The high mortality risk in the Southeast part of the country, where the major cities are located, can be explained by the high proportion of the elderly in the population. In the less developed areas of the North and Northeast, there are high rates of infection among young adults, people of lower socioeconomic status, and people without access to health care, resulting in more deaths.

scholarly journals The Role of Education in the Relationship Between Age of Migration to the United States and Risk of Cognitive Impairment Among Older Mexican Americans

2017 ◽  
Vol 40 (5) ◽  
pp. 411-431 ◽  
Author(s):  
Brian Downer ◽  
Marc A. Garcia ◽  
Joseph Saenz ◽  
Kyriakos S. Markides ◽  
Rebeca Wong
Keyword(s):  
Cognitive Impairment ◽  
Mexican Americans ◽  
Epidemiologic Study ◽  
Decomposition Analysis ◽  
The Elderly ◽  
The United States ◽  
Foreign Born ◽  
And Gender ◽  
The Relationship

Prior research indicates age of migration is associated with cognitive health outcomes among older Mexican Americans; however, factors that explain this relationship are unclear. This study used eight waves from the Hispanic Established Populations for the Epidemiologic Study of the Elderly to examine the role of education in the risk for cognitive impairment (CI) by nativity, age of migration, and gender. Foreign-born women had a higher risk for CI than U.S.-born women, regardless of age of migration. After adjusting for education, this risk remained significant only for late-life migrant women (risk ratio [RR] = 1.28). Foreign-born men who migrated at >50 had significantly higher risk for CI compared to U.S.-born men (RR = 1.33) but not significant after adjusting for education. Findings from a decomposition analysis showed education significantly mediated the association between age of migration and CI. This study highlights the importance of education in explaining the association between age of migration and CI.

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