Please use this identifier to cite or link to this item: http://hdl.handle.net/11328/778
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dc.contributor.authorSochirca, Elena-
dc.contributor.authorAfonso, Óscar-
dc.contributor.authorGil, Pedro Mazeda-
dc.date.accessioned2014-06-13T13:33:41Z-
dc.date.available2014-06-13T13:33:41Z-
dc.date.issued2014-
dc.identifier.citationSochirca, E., Gil, P., Afonso, O. (2014). Technology structure and skill Structure: costly investment and complementarity effects quantification. Journal of Macroeconomics, 40, 172-189.pt
dc.identifier.issn0164-0704-
dc.identifier.urihttp://hdl.handle.net/11328/778-
dc.description.abstractBased on an extended model of endogenous directed technical change and on cross-country data, we identify and quantify the long-run link between: (i) the technology structure (high- versus low-tech sectors) and the skill structure (high- versus low-skilled workers), by considering an explicit role for the (potential) com- plementarity between technological goods; (ii) the Tobin-q and the technology characteristics of the rms through their impact on economic growth. Our es- timation and calibration exercise suggests the existence of a moderate degree of complementarity and of an elastic relationship between the Tobin-q and key tech- nology parameters.pt
dc.language.isoengpt
dc.rightsembargoedAccesspt
dc.subjectHigh-techpt
dc.subjectLow-techpt
dc.subjectSkillspt
dc.subjectComplementaritypt
dc.subjectTobin-qpt
dc.subjectTechnological-knowledge biaspt
dc.titleTechnology structure and skill Structure: costly investment and complementarity effects quantification.pt
dc.typearticlept
Appears in Collections:REMIT – Artigos em Revistas Internacionais / Papers in International Journals

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