We build econometric models of the enrollment probability of your admitted students.
These models are designed to capture all of the independent factors that may affect your admitted students’ enrollment decisions:
ability, location, program, major, family income or EFC, prior contacts with the College, financial-aid awards,
competitor school rankings, etc.
With these models, we can assess the price sensitivity of your students and understand more about the role
financial aid plays in their decision making. To construct the models, we test the significance of all
relevant variables from the database, identifying variables which improve the accuracy of the enrollment
prediction.
We also perform extensive testing of the predictive accuracy and power of the models against
previous years’ known data. We also test for aberrations and anomalies within your data. With these models,
we are able to estimate the separate influence on enrollment probabilities of each relevant factor -- from
student ability to geographic location to intended area of study, with special attention on the role of financial-aid offers.
We shun the “black box” philosophy. The models and all of their internal structures, coefficients, and
statistical detail will be absolutely and completely open to the client. Many other firms aggressively
shield this information from their clients; we believe in open collaboration.