Managerial efficiency and efficiency differentials in adult education: a conditional and bias-corrected efficiency analysis

F. Schiltz; K. De Witte; D. Mazrekaj

doi:10.1007/s10479-019-03269-0

Managerial efficiency and efficiency differentials in adult education: a conditional and bias-corrected efficiency analysis

F. Schiltz, K. De Witte^*, D. Mazrekaj

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

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.

Original language	English
Pages (from-to)	529-546
Number of pages	18
Journal	Annals of Operations Research
Volume	288
Issue number	2
DOIs	https://doi.org/10.1007/s10479-019-03269-0
Publication status	Published - May 2020

JEL classifications

i21 - Analysis of Education

Keywords

Adult education
Bias-correction
Bootstrapping
Conditional efficiency
DATA ENVELOPMENT ANALYSIS
METHODOLOGY
MODELS
ROBUST
PERFORMANCE
NONPARAMETRIC FRONTIER ESTIMATION
SCHOOL DISTRICTS

Access to Document

10.1007/s10479-019-03269-0Licence: CC BY

Cite this

@article{14ee8d11401248868ac9463acbffa53e,

title = "Managerial efficiency and efficiency differentials in adult education: a conditional and bias-corrected efficiency analysis",

abstract = "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.",

keywords = "Adult education, Bias-correction, Bootstrapping, Conditional efficiency, DATA ENVELOPMENT ANALYSIS, METHODOLOGY, MODELS, ROBUST, PERFORMANCE, NONPARAMETRIC FRONTIER ESTIMATION, SCHOOL DISTRICTS",

author = "F. Schiltz and {De Witte}, K. and D. Mazrekaj",

note = "Funding Information: The authors are grateful to participants of DEA40 in Birmingham for many useful suggestions, in particular L{\'e}opold Simar and Paul Wilson, and two anonymous referees. The authors acknowledge financial support from SYNTRA Flanders. Corresponding author: Fritz Schiltz. Publisher Copyright: {\textcopyright} 2019, The Author(s).",

year = "2020",

month = may,

doi = "10.1007/s10479-019-03269-0",

language = "English",

volume = "288",

pages = "529--546",

journal = "Annals of Operations Research",

issn = "0254-5330",

publisher = "Springer",

number = "2",

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TY - JOUR

T1 - Managerial efficiency and efficiency differentials in adult education: a conditional and bias-corrected efficiency analysis

AU - Schiltz, F.

AU - De Witte, K.

AU - Mazrekaj, D.

N1 - Funding Information: The authors are grateful to participants of DEA40 in Birmingham for many useful suggestions, in particular Léopold Simar and Paul Wilson, and two anonymous referees. The authors acknowledge financial support from SYNTRA Flanders. Corresponding author: Fritz Schiltz. Publisher Copyright: © 2019, The Author(s).

PY - 2020/5

Y1 - 2020/5

N2 - 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.

AB - 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.

KW - Adult education

KW - Bias-correction

KW - Bootstrapping

KW - Conditional efficiency

KW - DATA ENVELOPMENT ANALYSIS

KW - METHODOLOGY

KW - MODELS

KW - ROBUST

KW - PERFORMANCE

KW - NONPARAMETRIC FRONTIER ESTIMATION

KW - SCHOOL DISTRICTS

U2 - 10.1007/s10479-019-03269-0

DO - 10.1007/s10479-019-03269-0

M3 - Article

SN - 0254-5330

VL - 288

SP - 529

EP - 546

JO - Annals of Operations Research

JF - Annals of Operations Research

IS - 2

ER -