Over the last two decades, twenty-two states have moved away from traditional defined benefit (DB) pension systems and toward pension plan structures like the defined contribution (DC) plans now prevalent in the private sector. Others are considering such a reform as it is seen as a means of limiting future pension funding risk. It is important to…

We use a database of over 15,000 teacher candidates from 15 teacher education programs in Washington state to investigate the connections between specific teacher preparation experiences and the likelihood that these candidates enter and stay in the state's public teaching workforce. As has been found in prior research, candidates with…

Public pension systems in many U.S. states face large funding short-falls, and policymakers have considered moving toward defined contribution (DC) pension structures in the interest of reducing the likelihood of future shortfalls. Concerns exist, however, that such changes might increase levels of employee turnover. The empirical evidence on the…

Traditional defined benefit (DB) pension systems in many states face large funding shortfalls. Movement toward defined contribution (DC) pension structures may reduce the likelihood of future shortfalls, but there is concern that such reforms may have the undesirable effect of increasing employee turnover. In studying patterns of employee turnover…

Public pension systems in many U.S. states face large funding shortfalls. Movement toward defined contribution (DC) pension structures may reduce the likelihood of future shortfalls. We address some limitations of the existing literature by studying public-sector employees who are enrolled in either a defined benefit (DB) plan or hybrid DB-DC…

We investigate factors influencing student sign-ups for Washington State's College Bound Scholarship (CBS) program. We find a substantial share of eligible middle school students fail to sign the CBS, forgoing college financial aid. Student characteristics associated with signing the scholarship parallel characteristics of low-income students who…

Students are typically given a large amount of freedom to choose the level of "curricular dispersion": the tight focus or lack thereof in the courses they elect to take while in college. There is little evidence about what predicts students' curricular dispersion, whether it affects later college or labor force outcomes, or, in fact, how…

We investigate patterns of teacher mobility in districts with different collective bargaining agreement (CBA) transfer provisions. We use detailed teacher-level longitudinal data from Washington State to estimate the probability that teachers of varying experience and effectiveness levels transfer out of their schools to another school in the…

Over 2,000 teachers in the state of Washington received reduction in force (RIF) notices across the 2008-09 and 2009-10 school years. We link data on these RIF notices to an administrative data set that includes student, teacher, school, and district variables to determine the factors that predict the likelihood of a teacher receiving a RIF…

Although the shortage of qualified STEM and Special Education teachers is well documented and often discussed, there has been little improvement in increasing the number of teachers in these subject areas. This policy brief reports on the front-end of the teacher pipeline and shows that in Washington State, like across the country, there has been…

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…

Over 2,000 teachers in the state of Washington received reduction-in-force (RIF) notices across the 2008-09 and 2009-10 school years. We link data on these RIF notices to an administrative dataset that includes student, teacher, school, and district variables to determine the factors that predict the likelihood of a teacher receiving a RIF notice.…