This paper presents the methods and results of a probabilistic teacher labor supply model. It uses both qualitative research findings and econometric methods to estimate the number of teachers with specified characteristics under various policy conditions, especially teacher salaries and supervision received. A review of selected relevant literature and descriptions of the econometric techniques and data set provide the framework for the model. Results of the estimations are discussed, and several simulations are used to evaluate the effectiveness of alternative policies and to forecast the teacher market supply. Findings indicate that personal characteristics strongly affect individuals' willingness to teach, and that increasing teacher salaries and/or decreasing supervision of teachers will increase the pool of teacher applicants. This model offers policy makers adaptability in simulating both the desired attributes of teacher candidates and the effect of various policy changes on individuals' probability of choosing a teaching career. References are included. (TE)