Medida de eficiencia técnica en la educación media de América Latina : pruebas PISA.

Autores:
Viana Barceló, Rafael Antonio
Urbina Fernández, Yehisen Frederick
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Fecha de publicación:
2019
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Universidad de Cartagena
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Repositorio Universidad de Cartagena
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https://doi.org/10.32997/2463-0470-vol.27-num.1-2019-2616
Palabra clave:
Efficiency
FDH
Metafrontier
Input
Products
Eficiencia
FDH
Metafrontera
Insumo
Productos
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Panorama Económico - 2019
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dc.title.spa.fl_str_mv Medida de eficiencia técnica en la educación media de América Latina : pruebas PISA.
dc.title.translated.eng.fl_str_mv Technical efficiency measure in Latin American secondary education : PISA tests.
title Medida de eficiencia técnica en la educación media de América Latina : pruebas PISA.
spellingShingle Medida de eficiencia técnica en la educación media de América Latina : pruebas PISA.
Efficiency
FDH
Metafrontier
Input
Products
Eficiencia
FDH
Metafrontera
Insumo
Productos
title_short Medida de eficiencia técnica en la educación media de América Latina : pruebas PISA.
title_full Medida de eficiencia técnica en la educación media de América Latina : pruebas PISA.
title_fullStr Medida de eficiencia técnica en la educación media de América Latina : pruebas PISA.
title_full_unstemmed Medida de eficiencia técnica en la educación media de América Latina : pruebas PISA.
title_sort Medida de eficiencia técnica en la educación media de América Latina : pruebas PISA.
dc.creator.fl_str_mv Viana Barceló, Rafael Antonio
Urbina Fernández, Yehisen Frederick
dc.contributor.author.spa.fl_str_mv Viana Barceló, Rafael Antonio
Urbina Fernández, Yehisen Frederick
dc.subject.eng.fl_str_mv Efficiency
FDH
Metafrontier
Input
Products
topic Efficiency
FDH
Metafrontier
Input
Products
Eficiencia
FDH
Metafrontera
Insumo
Productos
dc.subject.spa.fl_str_mv Eficiencia
FDH
Metafrontera
Insumo
Productos
publishDate 2019
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dc.date.available.none.fl_str_mv 2019-01-01 00:00:00
dc.date.issued.none.fl_str_mv 2019-01-01
dc.type.spa.fl_str_mv Artículo de revista
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dc.relation.ispartofjournal.spa.fl_str_mv Panorama Económico
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dc.relation.references.spa.fl_str_mv Afonso, A., y Aubyn, M. (2006). Cross-country efficiency of secondary education provision: A semiparametric analysis with nondiscretionary inputs. Economics Modelling 23(3), 476-491. https://doi.org/10.1016/j.econmod.2006.02.003
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Balaguer, M., Prior, D., y Tortosa, A. (2007). On the determinants of local goverment performance: A two-stage nonparametric approach. European Economic Review 51(2), 425-451. https://doi.org/10.1016/j.euroecorev.2006.01.007
Banker, R., y Natajaran, R. (2008). Evaluating contextual variables affecting productivity using Data Envelopment Analysis. Operation Research 17 (1), 48-58. https://doi.org/10.1287/opre.1070.0460
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spelling Viana Barceló, Rafael AntonioUrbina Fernández, Yehisen Frederick2019-01-01 00:00:002019-01-01 00:00:002019-01-010122-8900https://hdl.handle.net/11227/1385610.32997/2463-0470-vol.27-num.1-2019-26162463-0470https://doi.org/10.32997/2463-0470-vol.27-num.1-2019-2616application/pdfspaUniversidad de CartagenaPanorama Económicohttps://revistas.unicartagena.edu.co/index.php/panoramaeconomico/article/download/2616/2193Núm. 1 , Año 20195913927Afonso, A., y Aubyn, M. (2006). Cross-country efficiency of secondary education provision: A semiparametric analysis with nondiscretionary inputs. Economics Modelling 23(3), 476-491. https://doi.org/10.1016/j.econmod.2006.02.003Agasisti, A. (2014). The efficiency of public spending on education: An empirical comparison of EU countries. European Journal of Education 49(4), 543-557. https://doi.org/10.1111/ejed.12069Altamirano, A., y Peniche, R. (2014). Metodología AED-RNA para la estimación de la eficiencia institucional: El caso de las dependencias de educación superior (DES) de ingeniería de México Measuring the institutional efficiency using data envelopment analysis and artificial neural networks. Revista Electronica Nova Scientia Vol. 6 (2), 356-378. https://doi.org/10.21640/ns.v6i12.59Andersen, P., y Petersen, N. (1993). Aprocedere for ranking efficient units in Data Envelopment Analysis. Mngt Sci 39(10), 1261-1264. https://doi.org/10.1287/mnsc.39.10.1261Aristovnik, A., y Obadic, A. (2014). Measuring relative efficiency of secundary education in selected EU and OECD countries: The cese of Slovenia and Croatia. Technological and Economic Development of Economy 20(3), 419-451. https://doi.org/10.3846/20294913.2014.880085Balaguer, M., Prior, D., y Tortosa, A. (2007). On the determinants of local goverment performance: A two-stage nonparametric approach. European Economic Review 51(2), 425-451. https://doi.org/10.1016/j.euroecorev.2006.01.007Banker, R., y Natajaran, R. (2008). Evaluating contextual variables affecting productivity using Data Envelopment Analysis. Operation Research 17 (1), 48-58. https://doi.org/10.1287/opre.1070.0460Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 99-120. https://doi.org/10.1177/014920639101700108Bass, B., y Avolio, B. (1997). Full Range Leadership Development: Manual for the Multifactor Leadership Questionnaire. Mind Garden.Battese, G., y Rao, D. (2002). Technology gap, efficiency, and a stochastic metafrontier function. Int J Bus 1(2), 87-93.Battese, G., Rao, D., y O'Donnell, C. (2004). A metafrontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies. Prod Anal 21(1), 91-103. https://doi.org/10.1023/B:PROD.0000012454.06094.29Borghans, L., y Schils, T. (2012). The leaning tower of PISA: The effect of test motivation on scores in the international student assessment. The Society of Labor Economists.Bradley, S., Johnes, G., y Millington, J. (2001). The effect of competition on the efficiency of secondary schools in England. European Journal of Operational Research 135(3), 545-568. https://doi.org/10.1016/S0377-2217(00)00328-3Bray, M., y Thomas, R. (1995). Levels of comparison in educational studies: Different insights from different literatures and the value of multilevel analyses. Harvard Educational review 65(3), 472-490. https://doi.org/10.17763/haer.65.3.g3228437224v4877Brennan, S., Haelermans, C., y Ruggiero, J. (2014). Nonparametric estimation of education productivity incorporating nondiscretionary inputs with an application to Dutch schools. European Journal of Operational Research 234(3), 809-818. https://doi.org/10.1016/j.ejor.2013.10.030Brunello, G., y Checchi, D. (2007). Does school tracking affect equality of opportunity? 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Asia Pacific Journal of Education 28(1), 1-17. https://doi.org/10.1080/02188790701849826Panorama Económico - 2019https://creativecommons.org/licenses/by-nc-sa/4.0http://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessEsta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.https://revistas.unicartagena.edu.co/index.php/panoramaeconomico/article/view/2616EfficiencyFDHMetafrontierInputProductsEficienciaFDHMetafronteraInsumoProductosMedida de eficiencia técnica en la educación media de América Latina : pruebas PISA.Technical efficiency measure in Latin American secondary education : PISA tests.Artículo de revistainfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articleJournal articlePublicationOREORE.xmltext/xml2575https://repositorio.unicartagena.edu.co/bitstreams/4a338cf2-202e-42ec-a80f-a51e82e0babe/downloaddfe3f7422ae1c2de9b32fe8827461437MD5111227/13856oai:repositorio.unicartagena.edu.co:11227/138562024-09-05 15:19:35.173https://creativecommons.org/licenses/by-nc-sa/4.0Panorama Económico - 2019metadata.onlyhttps://repositorio.unicartagena.edu.coBiblioteca Digital Universidad de Cartagenabdigital@metabiblioteca.com