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The Presence of Subprime Loan Awards and Default Rates of Proprietary Universities.

机译:次级贷款奖的存在和私立大学的违约率。

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摘要

The debt burden on college students is threatening the future of an educated society. Students' inability to pay their debt results in increases in the federal student loan default rates and affects colleges' cohort default rates, which has a direct impact on post secondary institutions' revenue. The purpose of this quantitative, correlational study was to examine the relationship between the presence of subprime loans awarded by proprietary institutions and the1-year student loan default rates or the 2-year institutional cohort default rates. Rational choice of human behavior provided the theoretical framework for this study. The secondary data included all 132 reporting U.S. proprietary institutions that offer 4-year degrees. Three additional variables were employed to define the demographic profile (age, gender, and race) of students using subprime loans to assist with financing their education to increase the understanding of the characteristics of the student population that may affect the cohort default rates. The first multiple-regression model showed a statistically significant relationship existed between the presence of subprime loans awarded to students at proprietary institutions and the 1-year student default rates with respect to age and race. The second model, while overall insignificant at the .05 level, demonstrated a significant relationship between default 2-year cohort default rates and age. The results of the study may have a positive impact on social change by catalyzing policy changes to limit subprime lending, increase Title IV funding, and decrease student debt loads and default rates, thereby improving revenues to proprietary institutions and Title IV federal funding.
机译:大学生的债务负担正威胁着一个受过教育的社会的未来。学生无力偿还债务会导致联邦学生贷款违约率增加,并影响大学的同类队列违约率,这直接影响到大专院校的收入。这项定量,相关研究的目的是检验专有机构授予的次级贷款的存在与1年学生贷款违约率或2年机构队列违约率之间的关系。人类行为的理性选择为这项研究提供了理论框架。二级数据包括所有提供四年制学位的132家报告的美国专利机构。使用三个附加变量来定义使用次贷贷款的学生的人口统计资料(年龄,性别和种族),以帮助资助他们的教育,以加深对可能影响队列违约率的学生群体特征的理解。第一个多元回归模型显示,在专有机构授予学生的次级贷款的存在与针对年龄和种族的1年学生违约率之间存在统计学上的显着关系。第二种模型虽然在.05级别上总体上不显着,但显示了默认的2年队列违约率与年龄之间的显着关系。该研究的结果可能会通过催化政策变化来限制次级抵押贷款,增加第四类资助,减少学生债务负担和违约率,从而改善私有机构和第四类联邦资助的收入,从而对社会变革产生积极影响。

著录项

  • 作者

    White, Loucynda Gynell.;

  • 作者单位

    Walden University.;

  • 授予单位 Walden University.;
  • 学科 Education Finance.;Education Adult and Continuing.;Education Higher Education Administration.;Business Administration Management.
  • 学位 D.B.A.
  • 年度 2014
  • 页码 112 p.
  • 总页数 112
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;
  • 关键词

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