A Generalized Hyperbolic Distance Function for Benchmarking Performance: Estimation and Inference

This paper describes a new multiplicative, generalized hyperbolic distance function (GHDF) that allows the researcher to measure technical efficiency while holding a subset of inputs or outputs fixed. This is useful when dealing with “bad” or undesirable outputs, or in applications where some inputs...

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Bibliographic Details

Published in:	Computational economics Vol. 65; no. 6; pp. 3077 - 3110
Main Author:	Wilson, Paul W.
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Nature B.V 01.06.2025
Subjects:	Credit unions Data analysis Data envelopment analysis Efficiency Estimates Estimators Hyperbolic functions Hypotheses Inference Productivity measurement Property Researchers Subsets
ISSN:	0927-7099, 1572-9974
Online Access:	Get full text
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