Temporally Dynamic, Cohort-Varying Value-Added Models

Garritt L. Page, Ernesto San Martin, David Torres Irribarra and Sébastien Van Bellegem ()
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Sébastien Van Bellegem: Université catholique de Louvain, LIDAM/CORE, Belgium

No 2024009, LIDAM Discussion Papers CORE from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE)

Abstract: We aim to estimate school value-added dynamically in time. Our principal motivation for doing so is to establish school effectiveness persistence while taking into account the temporal dependence that typically exists in school performance from one year to the next. We propose two methods of incorporating temporal dependence in value-added models. In the first we model the random school effects that are commonly present in value-added models with an auto-regressive process. In the second approach, we incorporate dependence in value-added estimators by modeling the performance of one cohort based on the previous cohort’s perfor- mance. An identification analysis allows us to make explicit the meaning of the corresponding value-added indicators: based on these meanings, we show that each model is useful for monitoring specific aspects of school persistence. Furthermore, we carefully detail how value-added can be estimated over time. We show through simulations that ignoring temporal dependence when it exists results in diminished efficiency in value-added estimation while incorporating it results in improved estimation (even when temporal dependence is weak). Finally, we illustrate the methodology by considering two cohorts from Chile’s national standardized test in mathematics.

Keywords: School value persistence; value-added models; temporal dependence (search for similar items in EconPapers)
Pages: 67
Date: 2024-04-30
New Economics Papers: this item is included in nep-ecm and nep-ure
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