Research Degree: Social Science
Research Degree: Social Science
批准号:
2869563
负责人:
金额:
$0.0万
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --
中文摘要
我一直是研究团队的一员,该团队为哥伦比亚建立了一个公平和可持续的收入或有贷款计划,导致该政策在该国推出(该政策于2022年获得ESRC杰出公共政策影响奖)。这是改革哥伦比亚高等教育融资体系的一个急需的步骤,但对于解决当前学生贷款持有人的社会经济差距和问题,以及由于实施的政策能力有限而无法获得收入或有贷款的新生来说,这还远远不够。我的研究计划建立在Aragon, Chapman, Dearden和Pulido的工作基础上,设计改革贷款制度(用ICL代替可免除贷款,将当前债务人转移到ICL,并将现行政策扩大到已经入学的高等教育学生和研究生等)和公共系统(用ICL代替免费提供)的方案,旨在改变哥伦比亚的高等教育提供。此外,为了增加对政策设计的影响,我将建立一个公开可用的模型,使政策制定者能够将自己的方案(利率、还款率、期限等)参数化,并使当前学生、毕业生、纳税人以及公立和私立高等教育机构的影响透明化。为了进行分析,我将使用哥伦比亚的一个新颖数据集,该数据集将学校毕业考试(每个学生都必须从高中毕业),高等教育入学率和结果(学位,持续时间,毕业,退学,高等教育毕业考试)和劳动力市场信息(自2009年以来表征正式就业和收入的月度记录)联系起来。
英文摘要
I have been part of the research team that modeled an equitable and sustainable Income Contingent Loan Scheme for Colombia that led to the introduction of the policy in the country (Which received the ESRC Outstanding Public Policy Impact prize in 2022). This was a much-needed step in reforming the Higher Education financing system in Colombia but does not come close to solving the socio-economic gaps and problem for current student loan holders, and new students who will not have access to Income Contingent Loans due to limited capacity of the policy implemented.My research proposal builds on the work of Aragon, Chapman, Dearden and Pulido to design options to reform the loan system (replacing forgivable loans with ICLs, transiting current debtor to ICL, and expanding current policy to already enrolled students in higher education and postgraduate students, etc.) and the public system (replacing free provision with ICL) aiming at transforming the higher education provision in Colombia. Moreover, to increase the influence on policy design I will build a publically available model that allows policy makers to parametrize their own scheme (interest rates, repayment rates, length, etc.) and make transparent the implication for current students, graduates, taxpayers, and public and private higher education institutions.To do the analysis I will use a novelty dataset in Colombia that linked School-exit exams (mandatory for every student to graduate from high-school), Higher-education enrolment and outcomes (degree, duration, graduation, dropout, HE exit exam), and Labor Market information (monthly records since 2009 that characterize formal employment and earnings)
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