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dc.contributor.author
Morero, Hernan
dc.contributor.author
Ortiz, Pablo
dc.date.available
2018-09-04T20:02:41Z
dc.date.issued
2017-10
dc.identifier.citation
Morero, Hernan; Ortiz, Pablo; Multivariate analysis to research innovation complementarities; Taylor & Francis; African Journal of Science, Technology, Innovation and Development; 10-2017; 1-16
dc.identifier.issn
2042-1338
dc.identifier.uri
http://hdl.handle.net/11336/58286
dc.description.abstract
It is widely recognized that orthodox economics is obsessed with econometrics tools. However, econometrics techniques have a limited capacity to deal with qualitative variables coming from surveys. This paper presents a defence of the use of statistical methods, in particular multivariate analysis, which is the overall objective of the paper. Multivariate analysis is a set of methods that can be used when the problem that arises implies multiple dependent or interdependent variables of a qualitative nature. We considered an issue in the literature to probe multivariate analysis in a particular topic, namely: the question of innovation complementarities. We analyzed the presence of complementarities between internal and external innovation activities in 257 software firms from Argentina during the period 2008–2010, comparing the consideration of the problem of complementarities with the more modern complementarity econometrical tests, super and sub modularity tests arising from diverse firm-innovation function estimations (OProbit, Tobit and Probit), with the engagement of the same issue with multiple factor analysis and cluster techniques. The results show not only that the same results obtained by the econometrical tools can be reached by multivariate analysis techniques, but also that multiple factor analysis and cluster techniques allow for better exploitation of the richness of qualitative data.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Taylor & Francis
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Innovation Complementarities
dc.subject
Multivariate Analysis
dc.subject
Plurality
dc.subject
Software Sector
dc.subject
Supermodularity
dc.subject.classification
Economía, Econometría
dc.subject.classification
Economía y Negocios
dc.subject.classification
CIENCIAS SOCIALES
dc.title
Multivariate analysis to research innovation complementarities
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-08-13T17:16:25Z
dc.identifier.eissn
2042-1346
dc.journal.pagination
1-16
dc.journal.pais
Reino Unido
dc.description.fil
Fil: Morero, Hernan. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigaciones y Estudios sobre Cultura y Sociedad. Universidad Nacional de Córdoba. Centro de Investigaciones y Estudios sobre Cultura y Sociedad; Argentina
dc.description.fil
Fil: Ortiz, Pablo. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas. Departamento de Economía; Argentina
dc.journal.title
African Journal of Science, Technology, Innovation and Development
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/full/10.1080/20421338.2017.1355586
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1080/20421338.2017.1355586
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