 Connected networks in principal value-added modelsBrendan Bartanen and Aliza N. Husain Economics of Education Review, 2022, vol. 90, issue C Abstract: A growing literature uses value-added (VA) models to quantify principals’ contributions to improving student outcomes. Principal VA is typically estimated using a connected networks model that includes both principal and school fixed effects (FE) to isolate principal effectiveness from fixed school factors that principals cannot control. While conceptually appealing, high-dimensional FE regression models require sufficient variation to produce accurate VA estimates. Using simulation methods applied to administrative data from Tennessee and New York City, we show that limited mobility of principals among schools yields connected networks that are extremely sparse, where VA estimates are either highly localized or statistically unreliable. When comparing principals across schools, employing a random effects shrinkage estimator is shown to alleviate estimation error to increase the reliability of principal VA in our simulations. For within-school rankings of principals, VA estimates from models with both principal-by-school FE and school FE perform best. Keywords: Value-added models; School leadership; Principal quality; Panel data methods (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:ecoedu:v:90:y:2022:i:c:s0272775722000668 DOI: 10.1016/j.econedurev.2022.102292 Access Statistics for this article Economics of Education Review is currently edited by E. Cohn More articles in Economics of Education Review from Elsevier |
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