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Mangiero, George A.; Kraten, Michael – American Journal of Business Education, 2017
Financial analysts generally create static formulas for the computation of NPV. When they do so, however, it is not readily apparent how sensitive the value of NPV is to changes in multiple interdependent and interrelated variables. It is the aim of this paper to analyze this variability by employing a dynamic, visually graphic presentation using…
Descriptors: Predictor Variables, Visual Aids, Computer Graphics, Business Administration Education
Boerner, Heather – Community College Journal, 2014
The U.S. Department of Education estimates that 20 percent of community college students default on their student loan obligations (compared with 14.7 percent of all student loan borrowers), and that number is rising. What can community college financial officers do to keep their default numbers low? In this article, Heather Boerner describes the…
Descriptors: Loan Default, Community Colleges, College Students, Student Financial Aid Officers
Andruska, Emily A.; Hogarth, Jeanne M.; Fletcher, Cynthia Needles; Forbes, Gregory R.; Wohlgemuth, Darin R. – Journal of Student Financial Aid, 2014
Using a data set that augments a student survey with administrative data from the Iowa State University Office of Financial Aid, the authors posed two questions: Do students know whether they have student loans? Do students know how much they owe on outstanding student loans? We used logistic and ordered logit regressions to answer these…
Descriptors: Student Loan Programs, Debt (Financial), Student Attitudes, Familiarity
Crampton, Faith E.; Thompson, David C. – School Business Affairs, 2011
Today's school business officials are more aware than ever of the importance of making every dollar count. As they scour their budgets for possible savings, they may be tempted to reduce investment in school infrastructure, perhaps by deferring maintenance, renovations, and replacement of outdated facilities. However, school business officials…
Descriptors: Productivity, Models, Educational Finance, Academic Achievement