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 |
Appears in Collections: | CIDMA - Capítulo de livro DEGEIT - Capítulo de livro DMat - Capítulo de livro GOVCOPP - Capítulo de livro PSG - Capítulo de livro |
Files in This Item:
File | Description | Size | Format | |
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978-3-031-29583-6_14.pdf | 251.3 kB | Adobe PDF |
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