Universities have not traditionally analyzed the temporal effects of the tenure decision on the university or on its faculty. The consequences of a tenure policy on the financial and academic health of a university are substantial and long-lasting. This paper describes a program that allows university administrators to build a model of any proposed tenure policy, to operate the model, and to project the effects of the policy on the university. The models formulated use Markov chains to represent the various policies being analyzed along with macro forecasts of the size and composition of the university.
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