An Empirical Analysis of Mark-ups in the Argentine Manufacturing Sector

Autores
Brambilla, María Irene; Tortarolo, Darío
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this paper, we estimate mark-ups with plant level production data for Argentina from a structural model of cost-minimizing producers, as proposed by De Loecker and Warzynski (2012). We explore systematic differences across industries and plants. Our main findings are that mark-ups are higher in capital-intensive industries, and for plants that are more productive, larger, and more capital-intensive. Our findings are consistent with theories that predict larger mark-ups for more efficient firms and for higher quality products.
Fil: Brambilla, María Irene. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Económicas. Departamento de Ciencias Económicas; Argentina
Fil: Tortarolo, Darío. Berkeley University; Estados Unidos. Universidad Nacional de La Plata; Argentina
Materia
mark-ups
Productivity
Argentina
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/79231
Acceder
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network_name_str CONICET Digital (CONICET)
spelling An Empirical Analysis of Mark-ups in the Argentine Manufacturing SectorBrambilla, María IreneTortarolo, Daríomark-upsProductivityArgentinahttps://purl.org/becyt/ford/5.2https://purl.org/becyt/ford/5In this paper, we estimate mark-ups with plant level production data for Argentina from a structural model of cost-minimizing producers, as proposed by De Loecker and Warzynski (2012). We explore systematic differences across industries and plants. Our main findings are that mark-ups are higher in capital-intensive industries, and for plants that are more productive, larger, and more capital-intensive. Our findings are consistent with theories that predict larger mark-ups for more efficient firms and for higher quality products.Fil: Brambilla, María Irene. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Económicas. Departamento de Ciencias Económicas; ArgentinaFil: Tortarolo, Darío. Berkeley University; Estados Unidos. Universidad Nacional de La Plata; ArgentinaUniversidad Nacional de La Plata. Facultad de Ciencias Económicas2014-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/79231Brambilla, María Irene; Tortarolo, Darío; An Empirical Analysis of Mark-ups in the Argentine Manufacturing Sector; Universidad Nacional de La Plata. Facultad de Ciencias Económicas; Serie Documentos de Trabajo; 104; 5-2014; 1-281853-3930CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.depeco.econo.unlp.edu.ar/wp/?page_id=1304info:eu-repo/semantics/altIdentifier/url/http://www.depeco.econo.unlp.edu.ar/wp/wp-content/uploads/2017/05/doc104.pdfinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-12T09:47:23Zoai:ri.conicet.gov.ar:11336/79231instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-11-12 09:47:23.941CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv An Empirical Analysis of Mark-ups in the Argentine Manufacturing Sector
title An Empirical Analysis of Mark-ups in the Argentine Manufacturing Sector
spellingShingle An Empirical Analysis of Mark-ups in the Argentine Manufacturing Sector
Brambilla, María Irene
mark-ups
Productivity
Argentina
title_short An Empirical Analysis of Mark-ups in the Argentine Manufacturing Sector
title_full An Empirical Analysis of Mark-ups in the Argentine Manufacturing Sector
title_fullStr An Empirical Analysis of Mark-ups in the Argentine Manufacturing Sector
title_full_unstemmed An Empirical Analysis of Mark-ups in the Argentine Manufacturing Sector
title_sort An Empirical Analysis of Mark-ups in the Argentine Manufacturing Sector
dc.creator.none.fl_str_mv Brambilla, María Irene
Tortarolo, Darío
author Brambilla, María Irene
author_facet Brambilla, María Irene
Tortarolo, Darío
author_role author
author2 Tortarolo, Darío
author2_role author
dc.subject.none.fl_str_mv mark-ups
Productivity
Argentina
topic mark-ups
Productivity
Argentina
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.2
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv In this paper, we estimate mark-ups with plant level production data for Argentina from a structural model of cost-minimizing producers, as proposed by De Loecker and Warzynski (2012). We explore systematic differences across industries and plants. Our main findings are that mark-ups are higher in capital-intensive industries, and for plants that are more productive, larger, and more capital-intensive. Our findings are consistent with theories that predict larger mark-ups for more efficient firms and for higher quality products.
Fil: Brambilla, María Irene. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Económicas. Departamento de Ciencias Económicas; Argentina
Fil: Tortarolo, Darío. Berkeley University; Estados Unidos. Universidad Nacional de La Plata; Argentina
description In this paper, we estimate mark-ups with plant level production data for Argentina from a structural model of cost-minimizing producers, as proposed by De Loecker and Warzynski (2012). We explore systematic differences across industries and plants. Our main findings are that mark-ups are higher in capital-intensive industries, and for plants that are more productive, larger, and more capital-intensive. Our findings are consistent with theories that predict larger mark-ups for more efficient firms and for higher quality products.
publishDate 2014
dc.date.none.fl_str_mv 2014-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/79231
Brambilla, María Irene; Tortarolo, Darío; An Empirical Analysis of Mark-ups in the Argentine Manufacturing Sector; Universidad Nacional de La Plata. Facultad de Ciencias Económicas; Serie Documentos de Trabajo; 104; 5-2014; 1-28
1853-3930
CONICET Digital
CONICET
url http://hdl.handle.net/11336/79231
identifier_str_mv Brambilla, María Irene; Tortarolo, Darío; An Empirical Analysis of Mark-ups in the Argentine Manufacturing Sector; Universidad Nacional de La Plata. Facultad de Ciencias Económicas; Serie Documentos de Trabajo; 104; 5-2014; 1-28
1853-3930
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.depeco.econo.unlp.edu.ar/wp/?page_id=1304
info:eu-repo/semantics/altIdentifier/url/http://www.depeco.econo.unlp.edu.ar/wp/wp-content/uploads/2017/05/doc104.pdf
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional de La Plata. Facultad de Ciencias Económicas
publisher.none.fl_str_mv Universidad Nacional de La Plata. Facultad de Ciencias Económicas
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.976206

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