What explains the performance of students in a heterogeneous environment? Conditional efficiency estimation with continuous and discrete environmental variables
Efficiency estimations which do not account for the operational environment where production units are operating in may have only a limited value. This article presents a fully nonparametric framework to estimate relative performance of production units when accounting for continuous and discrete ba...
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| Published in | Applied economics Vol. 45; no. 17; pp. 2401 - 2412 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
London
Routledge
01.06.2013
Taylor and Francis Journals Taylor & Francis Ltd |
| Series | Applied Economics |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0003-6846 1466-4283 |
| DOI | 10.1080/00036846.2012.665602 |
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| Abstract | Efficiency estimations which do not account for the operational environment where production units are operating in may have only a limited value. This article presents a fully nonparametric framework to estimate relative performance of production units when accounting for continuous and discrete background variables. Using insights from recent developments in nonparametric econometrics, we show how conditional efficiency scores can be estimated using a tailored mixed kernel function with a data-driven bandwidth selection. The methodology is applied to the sample of Dutch pupils from the Organization for Economic Co-operation and Development's Programme for International Student Assessment (OECD PISA) data set. We estimate students' performance and the influence of its background characteristics. The results of our application show that several family- and student-specific characteristics have a statistically significant effect on the educational efficiency, while school-level variables do not have impact on performance. |
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| AbstractList | Efficiency estimations which do not account for the operational environment where production units are operating in may have only a limited value. This article presents a fully nonparametric framework to estimate relative performance of production units when accounting for continuous and discrete background variables. Using insights from recent developments in nonparametric econometrics, we show how conditional efficiency scores can be estimated using a tailored mixed kernel function with a data-driven bandwidth selection. The methodology is applied to the sample of Dutch pupils from the Organization for Economic Co-operation and Development's Programme for International Student Assessment (OECD PISA) data set. We estimate students' performance and the influence of its background characteristics. The results of our application show that several family- and student-specific characteristics have a statistically significant effect on the educational efficiency, while school-level variables do not have impact on performance. Efficiency estimations which do not account for the operational environment where production units are operating in may have only a limited value. This article presents a fully nonparametric framework to estimate relative performance of production units when accounting for continuous and discrete background variables. Using insights from recent developments in nonparametric econometrics, we show how conditional efficiency scores can be estimated using a tailored mixed kernel function with a data-driven bandwidth selection. The methodology is applied to the sample of Dutch pupils from the Organization for Economic Co-operation and Development's Programme for International Student Assessment (OECD PISA) data set. We estimate students' performance and the influence of its background characteristics. The results of our application show that several family- and student-specific characteristics have a statistically significant effect on the educational efficiency, while school-level variables do not have impact on performance. [PUBLICATION ABSTRACT] Efficiency estimations which do not account for the operational environment where production units are operating in may have only a limited value. This article presents a fully nonparametric framework to estimate relative performance of production units when accounting for continuous and discrete background variables. Using insights from recent developments in nonparametric econometrics, we show how conditional efficiency scores can be estimated using a tailored mixed kernel function with a data-driven bandwidth selection. The methodology is applied to the sample of Dutch pupils from the Organization for Economic Co-operation and Development's Programme for International Student Assessment (OECD PISA) data set. We estimate students' performance and the influence of its background characteristics. The results of our application show that several family- and student-specific characteristics have a statistically significant effect on the educational efficiency, while school-level variables do not have impact on performance. Reprinted by permission of Routledge, Taylor and Francis Ltd. |
| Author | De Witte, Kristof Kortelainen, Mika |
| Author_xml | – sequence: 1 givenname: Kristof surname: De Witte fullname: De Witte, Kristof email: kristof.dewitte@econ.kuleuven.be organization: Faculty of Economics and Business , University of Leuven (KU Leuven) – sequence: 2 givenname: Mika surname: Kortelainen fullname: Kortelainen, Mika organization: Economics, School of Social Sciences , University of Manchester |
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| SubjectTerms | Academic achievement bootstrap Bootstrap mechanism Econometrics Economic efficiency Education Efficiency Estimating techniques Estimation Foreign students generalized kernel function Netherlands nonparametric estimation Personality measurement Studies Variables |
| Title | What explains the performance of students in a heterogeneous environment? Conditional efficiency estimation with continuous and discrete environmental variables |
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