You are here

Washington

Assessing the Determinants and Implications of Teacher Layoffs

Over 2000 teachers in Washington state received reduction-in-force (RIF) notices in the past two years. Linking data on these RIF notices to a unique dataset of student, teacher, school, and district variables the authors determine factors that predict the likelihood of a teacher receiving a RIF notice. A teacher's seniority is the greatest predictor, but (all else equal) master's degree teachers and credentialed teachers in the "high-needs areas" of math, science, and special education were less likely to receive a RIF notice.

The Gateway to the Profession: Assessing Teacher Preparation Programs Based on Student Achievement

With teacher quality repeatedly cited as the most important schooling factor influencing student achievement, there has been increased interest in examining the efficacy of teacher training programs. This paper presents research examining the variation between and impact that individual teacher training institutions in Washington state have on the effectiveness of teachers they train.

Assessing the “Rothstein Test”. Does it Really Show Teacher Value-Added Models are Biased?

In a provocative and influential paper, Jesse Rothstein (2010) finds that standard value-added models (VAMs) suggest implausible future teacher effects on past student achievement, a finding that obviously cannot be viewed as causal. This is the basis of a falsification test (the Rothstein falsification test) that appears to indicate bias in VAM estimates of current teacher contributions to student learning. More precisely, the falsification test is designed to identify whether or not students are effectively randomly assigned conditional on the covariates included in the model.

Is it Just a Bad Class? Assessing the Long-term Stability of Estimated Teacher Performance

In this paper we report on work estimating the stability of value-added estimates of teacher effects, an important area of investigation given public interest in workforce policies that implicitly assume effectiveness is a stable attribute within teachers. The results strongly reject the hypothesis that teacher performance is completely stable within teachers over long periods of time, but estimates suggest that a component of performance appears to persist within teachers, even over a ten-year panel.

Which Plan to Choose? The Determinants of Pension System Choice for Public School Teachers

This paper studies the pension preferences of Washington State public school teachers by examining two periods of time during which teachers were able to choose between enrolling in a traditional defined benefit plan and a hybrid plan with defined benefit and defined contribution components. Our findings suggest that a large share of teachers are willing to transfer from a traditional DB plan to a hybrid pension plan, and that the probability that a teacher will choose to transfer is related to financial incentives and factors related to risk preferences.

Dan Goldhaber

Dr. Dan Goldhaber is the Director of the Center for Analysis of Longitudinal Data in Education Research (CALDER, caldercenter.org) at the American Institutes for Research and the Director of the Center for Education Data & Research (CEDR, cedr.us) at the University of Washington. Both CALDER and CEDR are focused on using state administrative data to do research that informs decisions about policy and practice.