While the practice of collecting information from applicants’ professional references is widespread, there is a paucity of research linking references’ assessments of applicants to subsequent performance. In this paper, we examine the predictive validity of a specific type of reference-provided information: categorical ratings of teacher applicants collected from their professional references—a potentially low-cost means of enhancing the applicant information available during the hiring process. We find an overall significant relationship between reference ratings and teacher performance as measured by observational evaluation ratings and teacher value added in math, but that this relationship is moderated by two factors. First, while references’ ratings of applicants with prior teaching experience are predictive of performance, those of novice applicants are not. Second, the predictive validity of reference ratings varies according to rater type: Ratings from references identified as the applicants’ Principal/Other Supervisor, Instructional Coach/Department Chair , or Colleague are significantly predictive of performance, whereas those from other types of raters are not. Overall, our findings show that meaningful information can be solicited from applicants’ references in the form of categorical ratings but also demonstrate some limitations in the potential for this type of information to inform hiring decisions.

Despite their widespread use, there is little academic evidence on whether applicant selection instruments can improve teacher hiring. We examine the relationship between two screening instruments used by Spokane Public Schools to select classroom teachers and three teacher outcomes: value added, absences, and attrition. We observe all applicants to the district (not only those who are hired), allowing us to estimate sample selection-corrected models using random tally errors and variation in the level of competition across job postings as instruments. Ratings on the screening instruments significantly predict value added in math and teacher attrition, but not absences—an increase of one standard deviation in screening scores is associated with an increase of about 0.06 standard deviations of student math achievement, and a decrease in teacher attrition of 3 percentage points. Hence the use of selection instruments appears to be a key means of improving the quality of the teacher workforce.

This paper examines the savings behavior of public school teachers who are enrolled in a hybrid pension plan that includes a defined contribution (DC) component. Few states have incorporated DC features into teacher pension systems and little is known about how providing teachers with greater control over deferred compensation might affect their savings behavior—an important determinant of retirement security. We find the retirement savings choices of teachers—how much they opt to contribute to a DC retirement account—to be generally consistent with that of their peers in the private sector. In particular, age and salary are positively correlated with contribution rates, and contribution rates increase with teaching experience. Importantly, our analysis of retirement wealth suggests that Washington's hybrid plan is likely to provide a level of retirement security for a typical teacher that is comparable to or greater than that provided by the state's pure defined benefit plan.