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Normal beta exponential stochastic frontier model: Maximum simulated likelihood approach

dc.contributor.authorNigusie, Misgan Desale
dc.date.accessioned2025-03-10T11:47:09Z
dc.date.available2025-03-10T11:47:09Z
dc.date.issued2024-09
dc.description.abstractThis paper considers the beta exponential distribution as a distribution function of inefficacy score in a stochastic frontier model. The beta exponential distribution is a three-parameter distribution, and it is more flexible than commonly used probability density functions in a stochastic frontier model (SFM). This new model, a “Normal Beta Exponential SFM”, nests another five SFMs. This paper presents a simulated log-likelihood function and simulated inefficiency estimator of a normal-beta exponential SFM, a closed form log-likelihood function and closed form inefficiency estimator of a normal-weighted exponential SFM, and an empirical study using a normal-beta exponential SFM. In our empirical study, we have used a likelihood ratio test to compare the performance of SFMs and a normal-beta exponential SFM fits the data better than other nested special case SFMs. Furthermore, the empirical result shows that parameters of a normal-beta exponential SFM can be estimated with less standard error or high certainty than a normal-gamma SFM.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationNigusie, Misgan Desale . (2024). “Normal beta exponential stochastic frontier model: Maximum simulated likelihood approach”. Portuguese Economic Journal, Vol 23, (3): 489–504pt_PT
dc.identifier.doihttps://doi.org/10.1007/s10258-023-00247-0pt_PT
dc.identifier.eissn1617-9838 (electronic)
dc.identifier.issn1617-982X (print)
dc.identifier.urihttp://hdl.handle.net/10400.5/99123
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.subjectBeta exponential distributionpt_PT
dc.subjectStochastic frontier modelpt_PT
dc.subjectSimulated likelihoodpt_PT
dc.subjectHalton sequencespt_PT
dc.titleNormal beta exponential stochastic frontier model: Maximum simulated likelihood approachpt_PT
dc.typejournal article
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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