A multi-stage almost ideal demand system: the case of beef demand in colombia

The main objective in this paper is to obtain reliable long-term and shorttermelasticities estimates of the beef demand in Colombia using quarterlydata since 1998 until 2007. However, complexity on the decision process ofconsumption should be taken into account, since expenditure on a particulargood...

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Autores:
Ramírez, Andrés
Tipo de recurso:
Article of journal
Fecha de publicación:
2013
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/73204
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/73204
http://bdigital.unal.edu.co/37679/
Palabra clave:
Cointegration
Delta method
Demand system
Generalized method of moments
Monte Carlo Simulation
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
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repository_id_str
spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Ramírez, Andrésa697aa34-0123-4238-9e6d-d0310d6990e43002019-07-03T16:01:30Z2019-07-03T16:01:30Z2013https://repositorio.unal.edu.co/handle/unal/73204http://bdigital.unal.edu.co/37679/The main objective in this paper is to obtain reliable long-term and shorttermelasticities estimates of the beef demand in Colombia using quarterlydata since 1998 until 2007. However, complexity on the decision process ofconsumption should be taken into account, since expenditure on a particulargood is sequential. In the case of beef demand in Colombia, a Multi-Stageprocess is proposed based on an Almost Ideal Demand System (AIDS). Theeconometric novelty in this paper is to estimate simultaneously all the stagesby the Generalized Method of Moments to obtain a joint covariance matrixof parameter estimates in order to use the Delta Method for calculating thestandard deviation of the long-term elasticities estimates. Additionally, thisapproach allows us to get elasticity estimates in each stage, but also, totalelasticities which incorporate interaction between stages. On the other hand,the short-term dynamic is handled by a simultaneous estimation of the ErrorCorrection version of the model; therefore, Monte Carlo simulation exercisesare performed to analyse the impact on beef demand because of shocks atdifferent levels of the decision making process of consumers. The results indicatethat, although the total expenditure elasticity estimate of demand forbeef is 1.78 in the long-term and the expenditure elasticity estimate withinthe meat group is 1.07, the total short-term expenditure elasticity is merely0.03. The smaller short-term reaction of consumers is also evidenced on priceshocks; while the total own price elasticity of beef is -0.24 in the short-term,the total and within meat group long-term elasticities areapplication/pdfspaUniversidad Nacional de Colombiahttp://revistas.unal.edu.co/index.php/estad/article/view/39582Universidad Nacional de Colombia Revistas electrónicas UN Revista Colombiana de EstadísticaRevista Colombiana de EstadísticaRevista Colombiana de Estadística; Vol. 36, núm. 1 (2013); 23-42 Revista Colombiana de Estadística; Vol. 36, núm. 1 (2013); 23-42 0120-1751Ramírez, Andrés (2013) A multi-stage almost ideal demand system: the case of beef demand in colombia. Revista Colombiana de Estadística; Vol. 36, núm. 1 (2013); 23-42 Revista Colombiana de Estadística; Vol. 36, núm. 1 (2013); 23-42 0120-1751 .A multi-stage almost ideal demand system: the case of beef demand in colombiaArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTCointegrationDelta methodDemand systemGeneralized method of momentsMonte Carlo SimulationORIGINAL39582-176366-1-PB.pdfapplication/pdf767522https://repositorio.unal.edu.co/bitstream/unal/73204/1/39582-176366-1-PB.pdff174f95e4f3576c92fe1dc19fcdfc281MD51THUMBNAIL39582-176366-1-PB.pdf.jpg39582-176366-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg5316https://repositorio.unal.edu.co/bitstream/unal/73204/2/39582-176366-1-PB.pdf.jpgb8518ec467bd3167ab35590cfca1e8d4MD52unal/73204oai:repositorio.unal.edu.co:unal/732042024-06-20 23:27:15.861Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co
dc.title.spa.fl_str_mv A multi-stage almost ideal demand system: the case of beef demand in colombia
title A multi-stage almost ideal demand system: the case of beef demand in colombia
spellingShingle A multi-stage almost ideal demand system: the case of beef demand in colombia
Cointegration
Delta method
Demand system
Generalized method of moments
Monte Carlo Simulation
title_short A multi-stage almost ideal demand system: the case of beef demand in colombia
title_full A multi-stage almost ideal demand system: the case of beef demand in colombia
title_fullStr A multi-stage almost ideal demand system: the case of beef demand in colombia
title_full_unstemmed A multi-stage almost ideal demand system: the case of beef demand in colombia
title_sort A multi-stage almost ideal demand system: the case of beef demand in colombia
dc.creator.fl_str_mv Ramírez, Andrés
dc.contributor.author.spa.fl_str_mv Ramírez, Andrés
dc.subject.proposal.spa.fl_str_mv Cointegration
Delta method
Demand system
Generalized method of moments
Monte Carlo Simulation
topic Cointegration
Delta method
Demand system
Generalized method of moments
Monte Carlo Simulation
description The main objective in this paper is to obtain reliable long-term and shorttermelasticities estimates of the beef demand in Colombia using quarterlydata since 1998 until 2007. However, complexity on the decision process ofconsumption should be taken into account, since expenditure on a particulargood is sequential. In the case of beef demand in Colombia, a Multi-Stageprocess is proposed based on an Almost Ideal Demand System (AIDS). Theeconometric novelty in this paper is to estimate simultaneously all the stagesby the Generalized Method of Moments to obtain a joint covariance matrixof parameter estimates in order to use the Delta Method for calculating thestandard deviation of the long-term elasticities estimates. Additionally, thisapproach allows us to get elasticity estimates in each stage, but also, totalelasticities which incorporate interaction between stages. On the other hand,the short-term dynamic is handled by a simultaneous estimation of the ErrorCorrection version of the model; therefore, Monte Carlo simulation exercisesare performed to analyse the impact on beef demand because of shocks atdifferent levels of the decision making process of consumers. The results indicatethat, although the total expenditure elasticity estimate of demand forbeef is 1.78 in the long-term and the expenditure elasticity estimate withinthe meat group is 1.07, the total short-term expenditure elasticity is merely0.03. The smaller short-term reaction of consumers is also evidenced on priceshocks; while the total own price elasticity of beef is -0.24 in the short-term,the total and within meat group long-term elasticities are
publishDate 2013
dc.date.issued.spa.fl_str_mv 2013
dc.date.accessioned.spa.fl_str_mv 2019-07-03T16:01:30Z
dc.date.available.spa.fl_str_mv 2019-07-03T16:01:30Z
dc.type.spa.fl_str_mv Artículo de revista
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url https://repositorio.unal.edu.co/handle/unal/73204
http://bdigital.unal.edu.co/37679/
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dc.relation.spa.fl_str_mv http://revistas.unal.edu.co/index.php/estad/article/view/39582
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Revista Colombiana de Estadística
Revista Colombiana de Estadística
dc.relation.ispartofseries.none.fl_str_mv Revista Colombiana de Estadística; Vol. 36, núm. 1 (2013); 23-42 Revista Colombiana de Estadística; Vol. 36, núm. 1 (2013); 23-42 0120-1751
dc.relation.references.spa.fl_str_mv Ramírez, Andrés (2013) A multi-stage almost ideal demand system: the case of beef demand in colombia. Revista Colombiana de Estadística; Vol. 36, núm. 1 (2013); 23-42 Revista Colombiana de Estadística; Vol. 36, núm. 1 (2013); 23-42 0120-1751 .
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
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dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
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dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia
institution Universidad Nacional de Colombia
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