There is a little information about whether and if so how student aspirations for college change over time. We introduce a conceptual model to explain how student aspirations may change over time, utilize panel methods to examine the extent to which this happens during high school, and investigate which factors are associated with such changes. We…

Noting the benefits of mathematics in students' future educational attainment and labor market success, there is considerable interest in high school requirements in terms of course-taking in mathematics at the national, state, and school district level. Previous research indicates that taking advanced math courses in high school leads to positive…

The cost of attending college has risen steadily over the past 30 years, making financial aid an important determinant of college choice for many students and a subject of concern for colleges and state governments. In this paper, we estimate the effect of rule-based merit aid assignment on students' enrollment decisions at the University of Iowa.…

This study investigates how the expectations of different types of financial aid affect the student college choice process from application through enrollment. We find that students from different race and income groups respond differentially to aid packages in their application and enrollment decisions depending on their levels of aid…

Fit a statistical model to historical college enrollment data, testing whether the model could accurately predict enrollment out-of-sample, and used the results to segment admitted students into groups so that different recruitment and marketing interventions could be applied to encourage enrollment. (EV)

We jointly model the application, admission, financial aid determination, and enrollment decision process. We find that expectations of admission affect application probabilities, financial aid expectations affect enrollment and application behavior, and deviations from aid expectations are strongly related to enrollment. We also conduct…

Applied the technique of artificial neural networks to predict which students were likely to apply to one research university. Compared the results to the traditional analysis tool, logistic regression modeling. Found that the addition of artificial intelligence models was a useful new tool for predicting student application behavior. (EV)

College-preference studies can help administrators identify a potential pool of desirable students and implement new recruitment techniques. This study, which supports earlier findings, used a logistic regression model to investigate the effects of variables relating student characteristics and institutional factors on the decision to apply to a…

This study used a logistic probability model to investigate the effects of variables relating student characteristics and institutional factors on the decision to apply to a large land-grant research university. The study used the entire data set from American College Testing (ACT) program test-takers in the fall of 1995 and institutional data on…