Can self-assessed health be relied on to identify the true socioeconomic gradients in health status? The self-assessed health of Russian adults in 2002 shows remarkably little gradient with respect to economic welfare. The authors document this finding and assess its robustness to the assumptions routinely made in measuring health and welfare. They find that the expected economic gradient only emerges once one focuses on the component of self-assessed health that is explicable in terms of age and more objective health indicators and one allows for broader dimensions of economic welfare than captured by standard income-based measures. The results point to the need for caution in analyzing and interpreting self-assessed health data.
Detalhes
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Autor
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Data do documento
2005/09/01
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TIpo de documento
Documento de trabalho sobre pesquisa de políticas
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No. do relatório
WPS3698
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Nº do volume
1
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Total Volume(s)
1
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País
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Região
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Data de divulgação
2010/07/01
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Disclosure Status
Disclosed
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Nome do documento
Searching for the economic gradient in self-assessed health
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Palavras-chave
economic welfare;health status;quality health care;quality of health care;indicators of health status;market for health care;socioeconomic determinants of health;measurement error;data on income;male life expectancy;public health service;economics of transition;High Blood Pressure;Universal Health Care;inequality in health;future living standard;labor force activity;labor market outcome;effect on health;composite error term;panel data model;development research group;expenditure on consumption;nationally representative survey;afflictions of inequality;Poverty & Inequality;success and failure;disparity in mortality;increase in inequality;public safety net;body mass index;health policy discussion;health production function;current income;health indicator;real expenditure;Social Sciences;estimation method;household expenditure;physical activity;income effect;individual income;lag effect;raw data;psychological adaptation;household size;adaptive behavior;instrumental variable;subjective data;individual effect;gender difference;linear model;demographic composition;demographic effect;
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