Estimating technology in the postal sector: a Bayesian approach

dc.contributor.author	Baños Pino, José Francisco
dc.contributor.author	Rodríguez Álvarez, Ana María
dc.date.accessioned	2016-05-06T09:28:08Z
dc.date.available	2016-05-06T09:28:08Z
dc.date.issued	2016
dc.identifier.citation	Applied Economics, 48(27), p. 2516-2529 (2016); doi:10.1080/00036846.2015.1125429
dc.identifier.issn	0003-6846
dc.identifier.uri	http://hdl.handle.net/10651/37124
dc.description.sponsorship	This work was supported by the Spanish Ministry of Economics and Competitiveness [grant number ECO2013- 43925-R]
dc.format.extent	p. 2516-2529
dc.language.iso	eng
dc.relation.ispartof	Applied Economics
dc.rights	©,
dc.source	Scopus
dc.source.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84954134033&partnerID=40&md5=b2e447313d14b9017f7bea416745b6e5
dc.title	Estimating technology in the postal sector: a Bayesian approach
dc.type	journal article
dc.identifier.doi	10.1080/00036846.2015.1125429
dc.relation.projectID	MINECO/ECO2013-43925-R
dc.relation.publisherversion	http://dx.doi.org/10.1080/00036846.2015.1125429

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