Please use this identifier to cite or link to this item: http://hdl.handle.net/11328/778
Title: Technology structure and skill Structure: costly investment and complementarity effects quantification.
Authors: Sochirca, Elena
Afonso, Óscar
Gil, Pedro Mazeda
Keywords: High-tech
Low-tech
Skills
Complementarity
Tobin-q
Technological-knowledge bias
Issue Date: 2014
Citation: Sochirca, E., Gil, P., Afonso, O. (2014). Technology structure and skill Structure: costly investment and complementarity effects quantification. Journal of Macroeconomics, 40, 172-189.
Abstract: Based 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.
URI: http://hdl.handle.net/11328/778
ISSN: 0164-0704
Appears in Collections:REMIT – Artigos em Revistas Internacionais / Papers in International Journals

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