首页> 外文学位 >TESTING THE APPROPRIATENESS OF NONPROFIT HOSPITALS' TAX EXEMPTIONS WITH LOGISTIC REGRESSION ANALYSES OF HOSPITAL FINANCIAL DATA.
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TESTING THE APPROPRIATENESS OF NONPROFIT HOSPITALS' TAX EXEMPTIONS WITH LOGISTIC REGRESSION ANALYSES OF HOSPITAL FINANCIAL DATA.

机译:用医院财务数据的逻辑回归分析测试非营利性医院税收减免的适当性。

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This study's main objective is to test whether tax-exempt and investor-owned taxable hospitals differ on measures of charity and indigent care provided and profitability. Relieving government burden through the provision of charity and indigent care is frequently cited as justification for nonprofit hospitals' tax exemptions. Also, economic theory suggests that tax-exempt hospitals should require a lower rate of return on equity than taxable hospitals. A secondary objective of this study is to establish a statistical technique that can help governments identify nonprofit hospitals that may not be earning their tax-exemptions.; Analyses are performed on hospital data from Tennessee, Florida, West Virginia, and Arizona. Logistic regression with tax-status as the dependent variable is used to analyze the data and test hypotheses. Several control variables are tested for significance before charity and indigent care and profitability variables are added to logistic models. Results indicate that tax-exempt hospitals provide significantly more charity and indigent care than investor-owned taxable hospitals. Contrary to expectations, results indicate that tax-exempt hospitals are more profitable than taxable hospitals. Models developed exhibit better classification ability than is expected by chance, but classification analyses indicate that some tax-exempt hospitals provide less charity and indigent care than do some investor-owned taxable hospitals.; Findings related to charity and indigent care provided indicate that the current approach taken by governments of selectively re-evaluating nonprofit hospitals' tax exemptions rather than revoking exemptions of all non-profit hospitals may be proper. Results from classification analyses demonstrate that the statistical technique used in this dissertation could help governments identify nonprofit hospitals that warrant having their tax exemptions re-evaluated.
机译:这项研究的主要目的是检验免税和投资者拥有的应税医院在提供的慈善和贫困护理措施以及盈利能力方面是否有所不同。通过提供慈善和贫困护理减轻政府负担经常被认为是非营利性医院免税的理由。同样,经济学理论认为,免税医院应比应税医院要求更低的净资产收益率。这项研究的第二个目的是建立一种统计技术,以帮助政府确定可能没有获得免税待遇的非营利性医院。根据田纳西州,佛罗里达州,西弗吉尼亚州和亚利桑那州的医院数据进行分析。以税收状态为因变量的逻辑回归用于分析数据和检验假设。在将慈善,贫困关怀和盈利能力变量添加到逻辑模型之前,对几个控制变量的重要性进行了测试。结果表明,与投资者拥有的应税医院相比,免税医院提供的慈善和贫困护理明显更多。与预期相反,结果表明,免税医院比应税医院更有利可图。所开发的模型显示出比偶然预期的更好的分类能力,但是分类分析表明,一些免税医院提供的慈善事业和贫困医疗服务少于某些投资者拥有的应税医院。提供的有关慈善和贫困护理的调查结果表明,政府目前采取的有选择地重新评估非营利性医院税收减免而不是撤销所有非营利性医院税收减免的方法可能是正确的。分类分析的结果表明,本文使用的统计技术可以帮助政府确定需要重新评估其免税额的非营利性医院。

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