On the influence of model setting on stochastic frontier analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F21%3A43918128" target="_blank" >RIV/62156489:43110/21:43918128 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1002/mma.6730" target="_blank" >https://doi.org/10.1002/mma.6730</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/mma.6730" target="_blank" >10.1002/mma.6730</a>
Alternative languages
Result language
angličtina
Original language name
On the influence of model setting on stochastic frontier analysis
Original language description
This article deals with the comparison of technical efficiency results through various stochastic frontier analysis models. Effects of model type, possible frontier shift, distribution of inefficiency term, different output variable, and estimator selection were explored. For this purpose, aggregated annual data within the EU construction sector from 2000 to 2015 were used for the efficiency estimation. The resulting efficiency values were compared by correlation coefficients. Among others, it has been shown that estimator selection may strongly affect efficiency estimate for particular models.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Mathematical Methods in the Applied Sciences
ISSN
0170-4214
e-ISSN
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Volume of the periodical
44
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
10
Pages from-to
274-283
UT code for WoS article
000548847200001
EID of the result in the Scopus database
2-s2.0-85088145401