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A step forward on order-α robust nonparametric method: inclusion of weight restrictions, convexity and non-variable returns to scale

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Summary:Partial frontiers have been recently developed in order to overcome several drawbacks of the traditional nonparametric techniques. These robust frontier (order-a and order-m) methods avoid the curse of dimensionality, are less sensitive to outliers and extreme data and may include direct environmental information in the model. Nonetheless, the disadvantages of these partial frontier-based methods according to the formulation proposed in the literature are that they do not allow weight restrictions or non-variable returns to scale technology. The procedure here proposed is an extension of the traditional order-a method, allowing the estimation of an empirical convex a-level, assuming also some additional constraints, such as the virtual weight restrictions and non-variable returns to scale. In the particular case of nonconvex attainable sets, unrestricted formulations and variable returns to scale assumption, the proposed procedure returns the same results as the standard order-a
Main Authors:Ferreira, Diogo
Other Authors:Marques, Rui Cunha
Subject:Data envelopment analysis, Order-a, Free disposal hull, Weight restrictions, Returns to scale, Convexity
Year:2020
Country:Portugal
Document type:article
Access type:open access
Associated institution:Universidade de Lisboa
Language:English
Origin:Repositório da Universidade de Lisboa
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author Ferreira, Diogo
author2 Marques, Rui Cunha
author2_role author
author_facet Ferreira, Diogo
Marques, Rui Cunha
author_role author
contributor_name_str_mv Repositório Científico de Acesso Aberto da ULisboa
country_str PT
creators_json_txt [{\"Person.name\":\"Ferreira, Diogo\",\"Person.identifier.orcid\":\"0000-0001-5418-9337\"},{\"Person.name\":\"Marques, Rui Cunha\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Repositório Científico de Acesso Aberto da ULisboa
datacite.creators.creator.creatorName.fl_str_mv Ferreira, Diogo
Marques, Rui Cunha
datacite.date.Accepted.fl_str_mv 2020-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2023-08-31T13:28:30Z
datacite.date.embargoed.fl_str_mv 2023-08-31T13:28:30Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Data envelopment analysis, Order-a, Free disposal hull, Weight restrictions, Returns to scale, Convexity
datacite.titles.title.fl_str_mv A step forward on order-α robust nonparametric method: inclusion of weight restrictions, convexity and non-variable returns to scale
dc.contributor.none.fl_str_mv Repositório Científico de Acesso Aberto da ULisboa
dc.creator.none.fl_str_mv Ferreira, Diogo
Marques, Rui Cunha
dc.date.Accepted.fl_str_mv 2020-01-01T00:00:00Z
dc.date.available.fl_str_mv 2023-08-31T13:28:30Z
dc.date.embargoed.fl_str_mv 2023-08-31T13:28:30Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10400.5/28349
dc.language.none.fl_str_mv eng
dc.rights.cclincense.fl_str_mv http://creativecommons.org/licenses/by/4.0/
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Data envelopment analysis, Order-a, Free disposal hull, Weight restrictions, Returns to scale, Convexity
dc.title.fl_str_mv A step forward on order-α robust nonparametric method: inclusion of weight restrictions, convexity and non-variable returns to scale
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description Partial frontiers have been recently developed in order to overcome several drawbacks of the traditional nonparametric techniques. These robust frontier (order-a and order-m) methods avoid the curse of dimensionality, are less sensitive to outliers and extreme data and may include direct environmental information in the model. Nonetheless, the disadvantages of these partial frontier-based methods according to the formulation proposed in the literature are that they do not allow weight restrictions or non-variable returns to scale technology. The procedure here proposed is an extension of the traditional order-a method, allowing the estimation of an empirical convex a-level, assuming also some additional constraints, such as the virtual weight restrictions and non-variable returns to scale. In the particular case of nonconvex attainable sets, unrestricted formulations and variable returns to scale assumption, the proposed procedure returns the same results as the standard order-a
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person_str_mv Ferreira, Diogo
Ferreira, Diogo
https://www.ciencia-id.pt/CF13-9741-551E
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spelling engpt_PTPartial frontiers have been recently developed in order to overcome several drawbacks of the traditional nonparametric techniques. These robust frontier (order-a and order-m) methods avoid the curse of dimensionality, are less sensitive to outliers and extreme data and may include direct environmental information in the model. Nonetheless, the disadvantages of these partial frontier-based methods according to the formulation proposed in the literature are that they do not allow weight restrictions or non-variable returns to scale technology. The procedure here proposed is an extension of the traditional order-a method, allowing the estimation of an empirical convex a-level, assuming also some additional constraints, such as the virtual weight restrictions and non-variable returns to scale. In the particular case of nonconvex attainable sets, unrestricted formulations and variable returns to scale assumption, the proposed procedure returns the same results as the standard order-aapplication/pdfpt_PTA step forward on order-α robust nonparametric method: inclusion of weight restrictions, convexity and non-variable returns to scalePersonalFerreira, DiogoDSpacehttp://dspace.org/items/7ee3508c-76f3-4d20-9c76-b3b727b02f93DSpacehttp://dspace.org/items/7ee3508c-76f3-4d20-9c76-b3b727b02f93Cunha FerreiraDiogo FilipeCiência IDhttps://www.ciencia-id.ptCF13-9741-551EORCIDhttp://orcid.org0000-0001-5418-9337Marques, Rui CunhaHostingInstitutionOrganizationalRepositório Científico de Acesso Aberto da ULisboae-mailmailto:repositorio@reitoria.ulisboa.ptrepositorio@reitoria.ulisboa.ptDOIIsPartOf10.1007/s12351-017-0370-12023-08-31T13:28:30Z20202020-01-01T00:00:00ZHandlehttp://hdl.handle.net/10400.5/28349http://purl.org/coar/access_right/c_abf2open accessData envelopment analysis, Order-a, Free disposal hull, Weight restrictions, Returns to scale, Convexity719248 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal article2020http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorio.ulisboa.pt/bitstreams/e906cded-3e94-484d-8c13-6d865eca73f7/downloadOperational Research20210111046
spellingShingle A step forward on order-α robust nonparametric method: inclusion of weight restrictions, convexity and non-variable returns to scale
Ferreira, Diogo
Data envelopment analysis, Order-a, Free disposal hull, Weight restrictions, Returns to scale, Convexity
status SINGLETON
subject.fl_str_mv Data envelopment analysis, Order-a, Free disposal hull, Weight restrictions, Returns to scale, Convexity
title A step forward on order-α robust nonparametric method: inclusion of weight restrictions, convexity and non-variable returns to scale
title_full A step forward on order-α robust nonparametric method: inclusion of weight restrictions, convexity and non-variable returns to scale
title_fullStr A step forward on order-α robust nonparametric method: inclusion of weight restrictions, convexity and non-variable returns to scale
title_full_unstemmed A step forward on order-α robust nonparametric method: inclusion of weight restrictions, convexity and non-variable returns to scale
title_short A step forward on order-α robust nonparametric method: inclusion of weight restrictions, convexity and non-variable returns to scale
title_sort A step forward on order-α robust nonparametric method: inclusion of weight restrictions, convexity and non-variable returns to scale
topic Data envelopment analysis, Order-a, Free disposal hull, Weight restrictions, Returns to scale, Convexity
topic_facet Data envelopment analysis, Order-a, Free disposal hull, Weight restrictions, Returns to scale, Convexity
url http://hdl.handle.net/10400.5/28349
visible 1