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

dc.creatorBrambilla, María Irene
dc.creatorTortarolo, Darío
dc.date.accessioned2019-07-05T15:29:21Z
dc.date.accessioned2022-10-15T07:48:38Z
dc.date.available2019-07-05T15:29:21Z
dc.date.available2022-10-15T07:48:38Z
dc.date.created2019-07-05T15:29:21Z
dc.date.issued2014-05
dc.identifierBrambilla, 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
dc.identifier1853-3930
dc.identifierhttp://hdl.handle.net/11336/79231
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4362213
dc.description.abstractIn 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.
dc.languageeng
dc.publisherUniversidad Nacional de La Plata. Facultad de Ciencias Económicas
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://www.depeco.econo.unlp.edu.ar/wp/?page_id=1304
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://www.depeco.econo.unlp.edu.ar/wp/wp-content/uploads/2017/05/doc104.pdf
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectmark-ups
dc.subjectProductivity
dc.subjectArgentina
dc.titleAn Empirical Analysis of Mark-ups in the Argentine Manufacturing Sector
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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