Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/39281
Title: Stochastic frontier analysis with maximum entropy estimation
Author: Macedo, Pedro
Madaleno, Mara
Moutinho, Victor
Keywords: Mathematical economics
Maximum entropy
Stochastic frontier analysis
Issue Date: 22-Jun-2023
Publisher: Springer Nature
Abstract: Maximum entropy in the estimation of parameters in stochastic production frontier models could be an attractive procedure in economic efficiency analysis. In this work, the generalized maximum entropy and the generalized cross entropy estimators are reviewed and their implementation in the stochastic frontier analysis is discussed. An application to eco-efficiency analysis of European countries is used to illustrate the procedures of maximum entropy estimation.
Peer review: yes
URI: http://hdl.handle.net/10773/39281
DOI: 10.1007/978-3-031-29583-6_14
ISBN: 978-3-031-29582-9
Publisher Version: https://link.springer.com/chapter/10.1007/978-3-031-29583-6_14
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