Managerial efficiency and efficiency differentials in adult education: a conditional and bias-corrected efficiency analysis
In efficiency studies, inputs and outputs are often noisy measures, especially when education data is used. This article complements the conditional efficiency model by correcting for bias within conditional draws, using the m out of n bootstrap procedure. With a unique panel dataset, we estimate ma...
Main Authors: | , , |
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Format: | Journal article |
Language: | English |
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Springer Nature
2019
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author | Schiltz, F De Witte, K Mazrekaj, D |
author_facet | Schiltz, F De Witte, K Mazrekaj, D |
author_sort | Schiltz, F |
collection | OXFORD |
description | In efficiency studies, inputs and outputs are often noisy measures, especially when education
data is used. This article complements the conditional efficiency model by correcting for
bias within conditional draws, using the m out of n bootstrap procedure. With a unique panel
dataset, we estimate managerial efficiency, which accounts for nondiscretionary variables,
and explain efficiency differentials of adult education programs in Flanders. Our results
suggest that the characteristics of learners in a program matter for managerial efficiency,
and that teacher characteristics are strongly correlated with efficiency differentials, as more
homogeneity in the teacher workforce appears to result in higher program efficiency |
first_indexed | 2024-03-07T02:45:49Z |
format | Journal article |
id | oxford-uuid:ac097299-7fe8-4050-93f2-7a61dd7a7e05 |
institution | University of Oxford |
language | English |
last_indexed | 2024-03-07T02:45:49Z |
publishDate | 2019 |
publisher | Springer Nature |
record_format | dspace |
spelling | oxford-uuid:ac097299-7fe8-4050-93f2-7a61dd7a7e052022-03-27T03:26:01ZManagerial efficiency and efficiency differentials in adult education: a conditional and bias-corrected efficiency analysisJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:ac097299-7fe8-4050-93f2-7a61dd7a7e05EnglishSymplectic ElementsSpringer Nature2019Schiltz, FDe Witte, KMazrekaj, DIn efficiency studies, inputs and outputs are often noisy measures, especially when education data is used. This article complements the conditional efficiency model by correcting for bias within conditional draws, using the m out of n bootstrap procedure. With a unique panel dataset, we estimate managerial efficiency, which accounts for nondiscretionary variables, and explain efficiency differentials of adult education programs in Flanders. Our results suggest that the characteristics of learners in a program matter for managerial efficiency, and that teacher characteristics are strongly correlated with efficiency differentials, as more homogeneity in the teacher workforce appears to result in higher program efficiency |
spellingShingle | Schiltz, F De Witte, K Mazrekaj, D Managerial efficiency and efficiency differentials in adult education: a conditional and bias-corrected efficiency analysis |
title | Managerial efficiency and efficiency differentials in adult education: a conditional and bias-corrected efficiency analysis |
title_full | Managerial efficiency and efficiency differentials in adult education: a conditional and bias-corrected efficiency analysis |
title_fullStr | Managerial efficiency and efficiency differentials in adult education: a conditional and bias-corrected efficiency analysis |
title_full_unstemmed | Managerial efficiency and efficiency differentials in adult education: a conditional and bias-corrected efficiency analysis |
title_short | Managerial efficiency and efficiency differentials in adult education: a conditional and bias-corrected efficiency analysis |
title_sort | managerial efficiency and efficiency differentials in adult education a conditional and bias corrected efficiency analysis |
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