States are responsible for setting and evaluating the standards that teacher preparation programs (TPPs) must meet for accreditation. Despite the considerable investment that states make in this process, no prior research has linked the ratings of TPPs generated by program reviews to inservice teacher performance. In this paper, we describe…

This dissertation studies a few topics in industrial organization. In the first two chapters, I study the education market from the perspective of industrial organization. Chapter 3 studies second-price auctions with participation costs. Chapters 1 and 2 study the high school market of a large city in China that introduced a policy allowing public…

This technical report provides an overview of the datasets and methodology used in the main report, "Investigating the Potential Use of Long-Term School and College Destination Measures. Final Report" (see ED619071). The purpose of the main report is to investigate the potential for using Department for Education's (DfE's) Longitudinal…

This dissertation consists of three essays that use and develop econometric methods to causally investigate topics in education and development economics. In the first chapter, I develop an econometric framework to correctly and efficiently draw inference in models where estimated value-added (VA) is an explanatory variable (and models where it…

Background: Since the COVID-19 pandemic, American students have demonstrated substantial losses in achievement (Amplify, 2021; Domingue et al., 2021; Dorn et al., 2020; Storey & Zhang, 2023), while chronic absenteeism doubled after the pandemic, with the largest increase among low-income students (Chang et al., 2022; Dorn et al., 2021). Among…

The purpose of the study is to close the gap in the literature regarding the Marzano Teacher Evaluation Model (MTEM) that lacks large scale empirical investigations to assess the predictability of the model. The study thoroughly reviews the extant literature from all teacher evaluation frameworks, particularly focusing on the large body of…

This study investigates how uncertainty works in science policy debates by considering an unusual case: one in which uncertainty-based arguments for delay come from the scientific community, rather than industry actors. The case I present is the central use of value-added modeling (VAM) in the evaluation of individual teachers, a controversial…

Two trends play an increasing role in shaping the long-term prospects of children across the United States: a growing STEM (science, technology, engineering, and mathematics)-based economy and rising income segregation. Together, they suggest that the future well-being of U.S. children may be based increasingly on the contemporary interplay of…

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…

In this study, researchers compared the concordance of teacher-level effectiveness ratings derived via six common generalized value-added model (VAM) approaches including a (1) student growth percentile (SGP) model, (2) value-added linear regression model (VALRM), (3) value-added hierarchical linear model (VAHLM), (4) simple difference (gain)…

Using rich panel data from Pakistan, we compute test score based measures of quality (School Value-Addeds or SVAs) for more than 800 schools across 112 villages and verify that they are valid and unbiased. With the SVA measures, we then document three striking features of the schooling environment. First, there is substantial within-village…

Value-added metrics or models (VAMs) are an important component of the teacher evaluation process that evaluators use to determine the value teachers add to their students' academic achievement. VAMs are used to arrive at a score that is derived from the number of the teachers' students who pass and/or fail a standardized assessment. While prior…

Education systems around the world increasingly rely on school value-added models to monitor school performance and hold schools to account. These models typically focus on a limited number of academic outcomes. We explore how the traditional multilevel modelling approach to school value-added models can be extended to simultaneously analyse…

Inappropriate treatment of missing data may introduce bias into the value-added estimation. We consider a commonly used value-added model (VAM), which includes the past student test score as a covariate. We formulate a joint model of student achievement and missing data, in which the probability of observing a test score depends on observing the…

The use of student learning objectives (SLOs) as part of teacher performance systems has gained traction quickly in the United States, yet little is known about how teachers select specific students' learning goals. When teachers are evaluated--and sometimes compensated--based on whether their students meet the very objectives the teachers set at…