Abstract
Based on human capital theory, the demand for higher education is investigated within a statewide system. A multiple regression approach is applied to data that measure the following by geographic municipality (i.e., county or city): the ratio of high school graduates enrolled in a given institution to that institution's entering freshman enrollment (dependent variable); eligible population, academic ability, educational attainment, income level, wage rate, unemployment rate, cost of attendance, and local environment (independent variables). Using the SAS GLM procedure, various breakdowns of the demand function by institutional grouping are presented. Squared multiple correlations for the various models range from .3 to .5.
Published Version
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