Large-scale Markov chain models and Monte Carlo simulation, two types of models useful for academic managers to analyze academic staffing policies, are described. Their relative advantages and disadvantages regarding technical requirements and performance, as well as managerial usefulness at different levels of the university, are discussed. (Author/MLW)