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Open AccessArticle10.55504/0884-9153.1024

Optimization Techniques for College Financial Aid Managers

Donald I. Bosshardt,Larry Lichtenstein,George Palumbo,Mark Zaporowski-2010-12-10-Journal of Student Financial Aid

TL;DRAbstract

In the context of a theoretical model of expected profit maximization, this paper shows how historic institutional data can be used to assist enrollment managers in determining the level of financial aid for students with varying demographic and quality characteristics. Optimal tuition pricing in conjunction with empirical estimation of matriculation probability functions illustrates how financial aid can be used to maximize net tuition revenue given institutionally determined objectives. The model provides insight to the level of price sensitivity of prospective matriculants at a medium-sized comprehensive private college.

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In the context of a theoretical model of expected profit maximization, this paper shows how historic institutional data can be used to assist enrollment managers in determining the level of financial aid for students with varying demographic and quality characteristics. Optimal tuition pricing in conjunction with empirical estimation of matriculation probability functions illustrates how financial aid can be used to maximize net tuition revenue given institutionally determined objectives. The model provides insight to the level of price sensitivity of prospective matriculants at a medium-sized comprehensive private college.

Keywords

MatriculationContext (archaeology)RevenueProfit maximizationActuarial scienceMaximizationBusinessQuality (philosophy)

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