Knocking on the Door to the Teaching Profession? Modeling the Entry of Prospective Teachers into the Workforce
We use a unique longitudinal sample of student teachers (“interns”) from six Washington state teacher training institutions to investigate patterns of entry into the teaching workforce. Specifically, we estimate split population models that simultaneously estimate the impact of individual characteristics and student teaching experiences on the timing and probability of initial hiring as a public school teacher. Not surprisingly, we find that interns endorsed to teach in “difficult-to-staff” areas are more likely to be hired as teachers than interns endorsed in other areas.