Dependence modeling in stochastic frontier analysis

This review covers several of the core methodological and empirical developments surrounding stochastic frontier models that incorporate various new forms of dependence. Such models apply naturally to panels where cross-sectional observations on firm productivity correlate over time, but also in sit...

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Bibliographic Details
Main Authors: Mamonov Mikhail E., Parmeter Christopher F., Prokhorov Artem B.
Format: Article
Language:English
Published: De Gruyter 2022-05-01
Series:Dependence Modeling
Subjects:
Online Access:https://doi.org/10.1515/demo-2022-0107