School value-added models are widely applied to study, monitor, and hold schools to account for school differences in student learning. The traditional model is a mixed-effects linear regression of student current achievement on student prior achievement, background characteristics, and a school random intercept effect. The latter is referred to…

School accountability systems increasingly hold schools to account for their performances using value-added models purporting to measure the effects of schools on student learning. The most common approach is to fit a linear regression of student current achievement on student prior achievement, where the school effects are the school means of the…

Assessment is not an end in itself but a vehicle for educational improvement. Assessment is vital to the educational process as it enhances teaching and learning, promotes accountability, motivates students, guides instructional decisions, and drives systemic improvements. Assessment plays a crucial role in the educational process as it serves…

Using the nonparametric Mann-Whitney U-Test to analyze 128 survey responses from K-12 teachers, this paper considers how value-added measures (VAM) impact educators' decisions to include Latinx topics in their social studies lessons. The authors found that VAM teachers are more likely to rely on district/state curriculum standards whereas non-VAM…

The transition to new assessments aligned to the Common Core State Standards was a significant turning point in the standards' implementation. Concerns about the transition led districts to suspend the use of value-added scores for evaluating teachers, but changes to other measures, such as classroom observations, were rare. Using data from the…

Education systems focus on issues related to school effects and differences. School effects are used as a basis for accountability in various countries including China. This study investigated the stability and cross-disciplinary consistency of value-added estimates based on student scores in selected schools in a city in central China. The…

Panel or grouped data are often used to allow for unobserved individual heterogeneity in econometric models via fixed effects. In this paper, we discuss identification of a panel data model in which the unobserved heterogeneity both enters additively and interacts with treatment variables. We present identification and estimation methods for…

Districts nationwide have increased the frequency of teacher evaluations. Yet, we know little about the role of evaluator feedback for teacher improvement. Using unique classroom observation-level data, we use evaluator ratings and teacher self-assessments of teacher performance to rigorously examine (positive and negative) feedback valence from…

Does student-teacher match quality exist? Prior work has documented large disparities in teachers' impacts across student types but has not distinguished between sorting and causal effects as the drivers of these disparities. I propose a disparate value-added model and derive a novel measure of teacher quality--revealed comparative advantage--that…

Using administrative data from D.C. Public Schools, I use exogenous variation in the presence and intensity of teacher monitoring to show it significantly improves student test scores and reduces suspensions. Uniquely, my setting allows me to separately identify the effect of pre-evaluation monitoring from post-evaluation feedback. Monitoring's…