Cited by 257Efficiency Analysis Using DEAAdvanced Statistical Methods and ModelsSpatial and Panel Data Analysis

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Biases in frontier estimation due to heteroscedasticity

Caudill, Steven B., Ford, Jon M.·1993·Economics Letters

DOI 10.1016/0165-1765(93)90104-k

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Formulation and estimation of stochastic frontier production function models
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Authors: Caudill, S. B., & Ford, J. M.
Affiliations: Auburn University (US)
Corresponding author: Caudill, Steven B.
ORCID: Caudill, Steven B.
Venue: Economics Letters
Publisher: Elsevier BV
Published: 1993-01
Volume: 41
Issue: 1
Pages: 17-20
ISSN: 0165-1765 (ISSN-L)
DOI: 10.1016/0165-1765(93)90104-k
OpenAlex: W2005008687
Cited by: 256
References: 7
Citations by year: 2026: 6 · 2025: 3 · 2024: 9 · 2023: 10 · 2022: 17 · 2021: 24 · 2020: 15 · 2019: 17 · 2018: 20 · 2017: 13 · 2016: 17 · 2015: 10 · 2014: 10 · 2013: 12 · 2012: 13
FWCI: 1.16
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Economics Letters (publishedVersion)
RePEc: Research Papers in Economics (submittedVersion)
Topics: Social Sciences › Decision Sciences › Management Science and Operations Research › Efficiency Analysis Using DEA
Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
Keywords: heteroscedasticity, efficient frontier, parameter bias, Monte Carlo simulation

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