Search Results
Working Paper
Predicting College Closures and Financial Distress
In this paper, we assemble the most comprehensive dataset to date on the characteristics of colleges and universities, including dates of operation, institutional setting, student body, staff, and finance data from 2002 to 2023. We provide an extensive description of what is known and unknown about closed colleges compared with institutions that did not close. Using this data, we first develop a series of predictive models of financial distress, utilizing factors like operational revenue/expense patterns, sources of revenue, metrics of liquidity and leverage, enrollment/staff patterns, and ...
Working Paper
Predicting College Closures and Financial Distress
In this paper, we assemble the most comprehensive dataset to date on the characteristics of colleges and universities, including dates of operation, institutional setting, student body, staff, and finance data from 2002 to 2023. We provide an extensive description of what is known and unknown about closed colleges compared with institutions that did not close. Using this data, we first develop a series of predictive models of financial distress, utilizing factors like operational revenue/expense patterns, sources of revenue, metrics of liquidity and leverage, enrollment/staff patterns, and ...
Discussion Paper
The Lingering Fiscal Effects of the COVID-19 Pandemic on Higher Education
The unprecedented challenges from COVID-19 present many institutions of higher education with liquidity, and even solvency, concerns. In this report, we provide guidance to institutions and policymakers about the short- and medium-term revenue losses that are likely to materialize as a result of the ongoing pandemic and associated disruptions to revenue and expenses. Using historical data on states’ responses to previous economic downturns and contemporaneous measures of the severity of the current economic predicament, we project state and local appropriation reductions that public ...