{"title":"健康结果、收入和收入不平等:重新审视实证关系。","authors":"Constantinos Alexiou, Emmanouil Trachanas","doi":"10.1515/fhep-2021-0042","DOIUrl":null,"url":null,"abstract":"<p><p>In this paper we revisit the relationship between health outcomes, income, and income inequality by applying alternative panel methodologies to a dataset of high-income countries spanning the time period 1980-2017. In this direction, we adopt alternative methodological frameworks in order to provide a) meaningful results by taking into account standard errors that alleviate problems of cross-sectional (spatial) and temporal dependence, and b) insights into the underlying relationships at several points of the conditional distribution of the health outcomes dependent variables. The evidence strongly supports the significant role that income plays in determining health outcomes. The findings relating to income inequality and nonlinear terms are more fragmented in that their significance and sign-direction depend on the functional form and the respective quantiles of the distribution the relationships are evaluated.</p>","PeriodicalId":38039,"journal":{"name":"Forum for Health Economics and Policy","volume":"24 2","pages":"75-100"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Health Outcomes, Income and Income Inequality: Revisiting the Empirical Relationship.\",\"authors\":\"Constantinos Alexiou, Emmanouil Trachanas\",\"doi\":\"10.1515/fhep-2021-0042\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In this paper we revisit the relationship between health outcomes, income, and income inequality by applying alternative panel methodologies to a dataset of high-income countries spanning the time period 1980-2017. In this direction, we adopt alternative methodological frameworks in order to provide a) meaningful results by taking into account standard errors that alleviate problems of cross-sectional (spatial) and temporal dependence, and b) insights into the underlying relationships at several points of the conditional distribution of the health outcomes dependent variables. The evidence strongly supports the significant role that income plays in determining health outcomes. The findings relating to income inequality and nonlinear terms are more fragmented in that their significance and sign-direction depend on the functional form and the respective quantiles of the distribution the relationships are evaluated.</p>\",\"PeriodicalId\":38039,\"journal\":{\"name\":\"Forum for Health Economics and Policy\",\"volume\":\"24 2\",\"pages\":\"75-100\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Forum for Health Economics and Policy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1515/fhep-2021-0042\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Economics, Econometrics and Finance\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forum for Health Economics and Policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/fhep-2021-0042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
Health Outcomes, Income and Income Inequality: Revisiting the Empirical Relationship.
In this paper we revisit the relationship between health outcomes, income, and income inequality by applying alternative panel methodologies to a dataset of high-income countries spanning the time period 1980-2017. In this direction, we adopt alternative methodological frameworks in order to provide a) meaningful results by taking into account standard errors that alleviate problems of cross-sectional (spatial) and temporal dependence, and b) insights into the underlying relationships at several points of the conditional distribution of the health outcomes dependent variables. The evidence strongly supports the significant role that income plays in determining health outcomes. The findings relating to income inequality and nonlinear terms are more fragmented in that their significance and sign-direction depend on the functional form and the respective quantiles of the distribution the relationships are evaluated.
期刊介绍:
Forum for Health Economics & Policy (FHEP) showcases articles in key substantive areas that lie at the intersection of health economics and health policy. The journal uses an innovative structure of forums to promote discourse on the most pressing and timely subjects in health economics and health policy, such as biomedical research and the economy, and aging and medical care costs. Forums are chosen by the Editorial Board to reflect topics where additional research is needed by economists and where the field is advancing rapidly. The journal is edited by Katherine Baicker, David Cutler and Alan Garber of Harvard University, Jay Bhattacharya of Stanford University, Dana Goldman of the University of Southern California and RAND Corporation, Neeraj Sood of the University of Southern California, Anup Malani and Tomas Philipson of University of Chicago, Pinar Karaca Mandic of the University of Minnesota, and John Romley of the University of Southern California. FHEP is sponsored by the Schaeffer Center for Health Policy and Economics at the University of Southern California. A subscription to the journal also includes the proceedings from the National Bureau of Economic Research''s annual Frontiers in Health Policy Research Conference. Topics: Economics, Political economics, Biomedical research and the economy, Aging and medical care costs, Nursing, Cancer studies, Medical treatment, Others related.