Panel Data Models for School Evaluation: The Case of High Schools’ Results in University Entrance Examinations

Manuel Salas-Velasco ()
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Manuel Salas-Velasco: Department of Applied Economics, Faculty of Economics and Business, Campus Cartuja, University of Granada, 18071 Granada, Spain

Stats, 2023, vol. 6, issue 1, 1-10

Abstract: To what extent do high school students’ course grades align with their scores on standardized college admission tests? People sometimes make the argument that grades are “inflated”, but many school districts only use outcome-based descriptive methods for school evaluation. In order to answer that question, this paper proposes econometric models for panel data, which are less well-known in educational evaluation. In particular, fixed-effects and random-effects models are proposed for assessing student performance in university entrance examinations. School-level panel data analysis allows one knowing if results in college admission tests vary more between high schools than within a high school in different academic years. Another advantage of using panel data includes the ability to control for school-specific unobserved heterogeneity. For empirical implementation, official transcript data and university entrance test scores of Spanish secondary schools are used.

Keywords: high school performance; grade inflation; panel data econometrics; school evaluation; Selectividad (search for similar items in EconPapers)
JEL-codes: C1 C10 C11 C14 C15 C16 (search for similar items in EconPapers)
Date: 2023
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