Re-Examining the Role of Teacher Quality in the Educational Production Function. Working Paper 2007-03.

By C. Koedel, Julia Betts. 2007

241 citations recorded by the source corpus.

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Citations in the corpus

Error Rates in Measuring Teacher and School Performance Based on Student Test Score Gains (2010, background): “2 Introduction quartile of performance from a particular year drop below that category in the subsequent year (Ballou 2005; Aaronson et al. 2008; Koedel and Betts 2007; Goldhaber and Hansen 2008; McCaffrey et al. 2009).”
Linking Teacher Quality, Student Attendance, and Student Achievement (2016, unknown): “…with the robust result in the VA literature that rankings of teacher effectiveness are not perfectly correlated across academic subjects (e.g., Koedel and Betts 2007; Lockwood et al. 2007; Loeb and Candelaria 20 1 2; Loeb, Kalogrides, and B´eteille 20 1 2; Goldhaber, Cowan, and Walch 20 1…”
The Gateway to the Profession: Assessing Teacher Preparation Programs Based on Student Achievement. CEDR Working Paper No. 2011-2.0. (2013, background): “Koedel et al. (2012) further caution that studies that fail to account for the clustering of student observations for the same teacher overstate the differences between training programs because sampling variability has been inappropriately attributed to training programs.”
Teacher qualifications and student achievement in urban elementary schools (2009, background): “Koedel and Betts (2007) use a value-added gains model to look at student achievement of elementary students in San Diego.”
Teacher Mobility, School Segregation, and Pay-Based Policies to Level the Playing Field (2010, background): “…goal is to identify the role of student demographics and specific policy levers, most notably salary, in predicting these three types of teacher moves so that we can assess the viability of compensatory policies to equalize rates of departure, with particular attention to the moves of teachers…”
What Makes an Effective Teacher? Quasi-Experimental Evidence (2016, unknown): “Other researchers, while recognizing the potential of bias, are more optimistic (Koedel and Betts (2007).”
Controlling for Individual Heterogeneity in Longitudinal Models, with Applications to Student Achievement (2007, methodology): “The divide between fixed and random effects approaches is particularly strong in education research, with numerous examples of economists using fixed effects (14; 15; 20; 25; 38; 39; 49; 52), and educational statisticians using random effects or mixed model approaches by way of hierarchical linear m”
Teacher Effects and Teacher-Related Policies (2014, unknown): “25 Lavy (2002) and Muralidharan (2012) also find positive, but significantly smaller effects of group based incentives in their respective settings.”
Student Sorting and Bias in Value-Added Estimation: Selection on Observables and Unobservables (2009, methodology): “This rules out fixed effects solutions like those used by Harris and Sass (2006), Koedel and Betts (2007), Jacob and Lefgren (2008), Rivkin, Hanushek, and Kain (2005), and Boyd et al. (2008).”