{"title":"揭示健康保险的溢出效应:文化和欺诈对健康保险覆盖的影响","authors":"Rajeev K. Goel, James R. Jones, Michael A. Nelson","doi":"10.1002/mde.4502","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>This paper adds to the literature on the determinants of health insurance by focusing especially on the spillovers from culture and fraud, along with a set of “standard” determinants. The social aspects of culture and fraud could potentially increase or decrease the propensities of individuals to purchase health insurance, and our empirical analysis informs us in this regard. For this purpose, we employ data for the year 2017 (or the closest year available) across states in the United States for most variables in the model setup. To account for year-to-year variability in the size of the uninsured population and the fraud data, mean annual averages over the years 2017–2022 are used. Employing OLS estimation to cross-sectional data, the results show that cultural tightness (denoting social/cultural cohesion, measured via an index) lowers the propensities to acquire health insurance, and greater fraud (i.e., fraud reports in a US state) also undermines health insurance coverage, albeit with relatively less statistical support. The impact of higher insurance premia depressing insurance coverage is found to be consistent with intuition. The scope of the government, via Medicaid expansion to provide health coverage to certain population groups, was relatively more effective in increasing insurance coverage than the sheer size of the government (i.e., total government spending). The proximity of a state to foreign borders (Canada and Mexico) did not matter. Other things being the same, states with larger land areas faced special challenges in providing health insurance coverage. The findings have importance for the formulation of policies in the public and private sectors, and especially flesh out the crucial, and largely neglected, influence of culture on health insurance purchases.</p>\n </div>","PeriodicalId":18186,"journal":{"name":"Managerial and Decision Economics","volume":"46 5","pages":"2783-2794"},"PeriodicalIF":2.7000,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Unraveling Spillovers on Health Insurance: The Impacts of Culture and Fraud on Health Insurance Coverage\",\"authors\":\"Rajeev K. Goel, James R. Jones, Michael A. Nelson\",\"doi\":\"10.1002/mde.4502\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>This paper adds to the literature on the determinants of health insurance by focusing especially on the spillovers from culture and fraud, along with a set of “standard” determinants. The social aspects of culture and fraud could potentially increase or decrease the propensities of individuals to purchase health insurance, and our empirical analysis informs us in this regard. For this purpose, we employ data for the year 2017 (or the closest year available) across states in the United States for most variables in the model setup. To account for year-to-year variability in the size of the uninsured population and the fraud data, mean annual averages over the years 2017–2022 are used. Employing OLS estimation to cross-sectional data, the results show that cultural tightness (denoting social/cultural cohesion, measured via an index) lowers the propensities to acquire health insurance, and greater fraud (i.e., fraud reports in a US state) also undermines health insurance coverage, albeit with relatively less statistical support. The impact of higher insurance premia depressing insurance coverage is found to be consistent with intuition. The scope of the government, via Medicaid expansion to provide health coverage to certain population groups, was relatively more effective in increasing insurance coverage than the sheer size of the government (i.e., total government spending). The proximity of a state to foreign borders (Canada and Mexico) did not matter. Other things being the same, states with larger land areas faced special challenges in providing health insurance coverage. The findings have importance for the formulation of policies in the public and private sectors, and especially flesh out the crucial, and largely neglected, influence of culture on health insurance purchases.</p>\\n </div>\",\"PeriodicalId\":18186,\"journal\":{\"name\":\"Managerial and Decision Economics\",\"volume\":\"46 5\",\"pages\":\"2783-2794\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-02-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Managerial and Decision Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/mde.4502\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Managerial and Decision Economics","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/mde.4502","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
Unraveling Spillovers on Health Insurance: The Impacts of Culture and Fraud on Health Insurance Coverage
This paper adds to the literature on the determinants of health insurance by focusing especially on the spillovers from culture and fraud, along with a set of “standard” determinants. The social aspects of culture and fraud could potentially increase or decrease the propensities of individuals to purchase health insurance, and our empirical analysis informs us in this regard. For this purpose, we employ data for the year 2017 (or the closest year available) across states in the United States for most variables in the model setup. To account for year-to-year variability in the size of the uninsured population and the fraud data, mean annual averages over the years 2017–2022 are used. Employing OLS estimation to cross-sectional data, the results show that cultural tightness (denoting social/cultural cohesion, measured via an index) lowers the propensities to acquire health insurance, and greater fraud (i.e., fraud reports in a US state) also undermines health insurance coverage, albeit with relatively less statistical support. The impact of higher insurance premia depressing insurance coverage is found to be consistent with intuition. The scope of the government, via Medicaid expansion to provide health coverage to certain population groups, was relatively more effective in increasing insurance coverage than the sheer size of the government (i.e., total government spending). The proximity of a state to foreign borders (Canada and Mexico) did not matter. Other things being the same, states with larger land areas faced special challenges in providing health insurance coverage. The findings have importance for the formulation of policies in the public and private sectors, and especially flesh out the crucial, and largely neglected, influence of culture on health insurance purchases.
期刊介绍:
Managerial and Decision Economics will publish articles applying economic reasoning to managerial decision-making and management strategy.Management strategy concerns practical decisions that managers face about how to compete, how to succeed, and how to organize to achieve their goals. Economic thinking and analysis provides a critical foundation for strategic decision-making across a variety of dimensions. For example, economic insights may help in determining which activities to outsource and which to perfom internally. They can help unravel questions regarding what drives performance differences among firms and what allows these differences to persist. They can contribute to an appreciation of how industries, organizations, and capabilities evolve.