2018
DOI: 10.1016/j.ejor.2017.12.034
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Measuring and explaining organizational effectiveness of school districts: Evidence from a robust and conditional Benefit-of-the-Doubt approach

Abstract: We are grateful to seminar participants in Rome and Leuven, and participants of the XXV Meeting of the Economics of Education Association, the 4th Workshop on efficiency in education, the 6th Workshop on efficiency and productivity analysis. In particular,

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Cited by 29 publications
(13 citation statements)
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“…After controlling for student and school characteristics, this result remains statistically significant. Studies linking teacher absenteeism to school district management could serve as a possible explanation for this higher per student cost (Theobald, ; Hartog & Verburg, ; De Witte & Schiltz, ). Again, sound management performance could explain discrepancies in school district performance with respect to costs, and possibly also with respect to student outcomes, through its impact on human resource management (teacher hiring and retention).…”
Section: Resultsmentioning
confidence: 99%
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“…After controlling for student and school characteristics, this result remains statistically significant. Studies linking teacher absenteeism to school district management could serve as a possible explanation for this higher per student cost (Theobald, ; Hartog & Verburg, ; De Witte & Schiltz, ). Again, sound management performance could explain discrepancies in school district performance with respect to costs, and possibly also with respect to student outcomes, through its impact on human resource management (teacher hiring and retention).…”
Section: Resultsmentioning
confidence: 99%
“…We include variables measuring the percentage of teachers younger than 35 years old, the percentage of teachers holding a master's degree and the percentage of teachers being absent during a given year. Teacher absenteeism can serve as a proxy for school district management (De Witte & Schiltz, 2017), which in turn affects student outcomes (Bidwell & Kasarda, 1975). 12 By including this variable, we are able to account for quality differences between districts and hence avoid the endogeneity issues mentioned by Driscoll et al (2003).…”
Section: Data and Settingmentioning
confidence: 99%
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