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Juliana de Castro Galvao; Frederick Tucker; Paul Attewell – Higher Education Policy, 2024
For decades, educators and policy makers have decried low graduation rates at US colleges, advocating policies and making investments to improve graduation. We analyze a decade of Integrated Postsecondary Education Data System (IPEDS) data for four-year colleges to investigate how much institutions have improved their graduation rates from 2008…
Descriptors: Higher Education, Graduation Rate, Trend Analysis, Educational Trends
Kamdjou, Herve D. Teguim – Open Education Studies, 2023
This article revisits the Mincer earnings function and presents comparable estimates of the average monetary returns associated with an additional year of education across different regions worldwide. In contrast to the traditional Ordinary Least Squares (OLS) method commonly employed in the literature, this study applied a cutting-edge approach…
Descriptors: Outcomes of Education, Artificial Intelligence, Human Capital, Regression (Statistics)
Vernon, Marlo M.; Yang, Frances M. – Research in Higher Education, 2023
The aim of this study is to profile academic institutions (n = 127) based on publications, citations in the top 10% of journals, patent citations in Food and Drug Administration (FDA) approvals, clinical trials with uploaded results, contributions to clinical practice guidelines, awarded patents, start-ups, and licenses generating income in…
Descriptors: Health Services, Citations (References), Classification, Public Health
Mann, Bryan A.; Bruno, Paul – Educational Policy, 2022
We analyze a natural experiment in which policymakers in Pennsylvania first implemented, and later removed, reimbursements to districts for students exiting to brick and mortar and cyber charter schools. Generalized difference-in-difference models show that larger shares of students enrolling in charter schools predict decrements in spending,…
Descriptors: Charter Schools, Enrollment Trends, Declining Enrollment, Prediction
Hong, Xiumin; Zhang, Mingzhu; Liu, Qianqian; Zhong, Binglin; Li, Handong – Early Education and Development, 2022
Research Findings: The implementation of the universal two-child policy in China will first affect changes in the country's population, before influencing the scale of development of preschool education to meet the corresponding demand for educational resources. Using data from China's sixth census as the base-period data, this study applied the…
Descriptors: Foreign Countries, Futures (of Society), Preschool Education, Expenditures
Chan, Tak Cheung; Morris, Robert – Educational Planning, 2018
School districts of the United States have to address their financial problems when economy is in difficulty. This study examines the financial practices of the school districts in metro-Atlanta area to understand how they operate their systems to meet with the challenges. Personal interviews were held with financial officers of six participating…
Descriptors: School Districts, Educational Finance, Budgeting, Money Management
Tang, Hui-Wen Vivian; Yin, Mu-Shang – Economics of Education Review, 2012
GM(1,1) and GM(1,1) rolling models derived from grey system theory were estimated using time-series data from projection studies by National Center for Education Statistics (NCES). An out-of-sample forecasting competition between the two grey prediction models and exponential smoothing used by NCES was conducted for education expenditure and…
Descriptors: Prediction, Models, Accuracy, Expenditures
Agiovlasitis, Stamatis; Motl, Robert W.; Foley, John T.; Fernhall, Bo – Adapted Physical Activity Quarterly, 2012
This study examined the relationship between energy expenditure and wrist accelerometer output during walking in persons with and without Down syndrome (DS). Energy expenditure in metabolic equivalent units (METs) and activity-count rate were respectively measured with portable spirometry and a uniaxial wrist accelerometer in 17 persons with DS…
Descriptors: Expenditures, Physical Activities, Down Syndrome, Prediction
Sumarto, Sudarno; Suryadarma, Daniel; Suryahadi, Asep – Social Indicators Research, 2007
Household consumption expenditure data is crucial for calculating important welfare measures such as poverty headcount rate. However, collecting such data is difficult and cumbersome. As an alternative, we experiment with three methods--consumption correlates model, poverty probability model, and wealth index principal components analysis…
Descriptors: Expenditures, Poverty, Factor Analysis, Probability
Weeks, Richard H. – School Business Affairs, 1998
Accurate, timely, and concise monthly financial reporting is achieved through mastering statistics. A Grafton, Massachusetts school business manager's monthly presentation to the school committee is a composite of all the statistics he has reviewed during the previous month. This presentation reports where and how funds have been spent and…
Descriptors: Accounting, Elementary Secondary Education, Expenditures, Income

Johnson, Kurt L.; And Others – Rehabilitation Counseling Bulletin, 1987
Applied statistical methods to predict case expenditures for low back pain rehabilitation cases in proprietary rehabilitation. Extracted predictor variables from case records of 175 workers compensation claimants with some degree of permanent disability due to back injury. Performed several multiple regression analyses resulting in a formula that…
Descriptors: Disabilities, Expenditures, Prediction, Predictive Measurement

Taylor, Raymond G., Jr.; Reid, William Michael – Journal of Education Finance, 1987
Reports an improved methodology for estimating teacher salary costs well in advance of the fiscal year. The Markov approach, based on probabilistic techniques, provided a more accurate prediction of school district personnel costs than did the traditional deterministic technique for the budget year studied. Includes four tables and nine…
Descriptors: Budgeting, Educational Finance, Educational Planning, Elementary Secondary Education
Johnson, Donald R. – School Business Affairs, 2000
A cash-flow plan allows districts lead time for investing, borrowing, reducing or delaying expenditures, expanding revenue sources, informing the community, and avoiding surprises. Planners should identify type, timing, and amount of revenues and expenditures and then compare revenues and expenditures to determine (and accommodate) shortfalls or…
Descriptors: Boards of Education, Elementary Secondary Education, Expenditures, Guidelines
Battistin, Erich; Miniaci, Raffaele; Weber, Guglielmo – Journal of Human Resources, 2003
In this paper, we use two complementary Italian data sources (the 1995 ISTAT and Bank of Italy household surveys) to generate household-specific nondurable expenditure in the Bank of Italy sample that contains relatively high-quality income data. We show that food expenditure data are of comparable quality and informational content across the two…
Descriptors: Expenditures, Data, Prediction, Foreign Countries

Dennison, W. F. – Journal of Educational Administration and History, 1979
Although government has increased its use of expenditure- forecasting mechanisms and has encouraged local authorities to adopt management processes that demand the development of such mechanisms, central government intervention has made consideration of the future resource environment of a local authority increasingly difficult. (Author/IRT)
Descriptors: Decision Making, Educational Planning, Elementary Secondary Education, Expenditures
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