Modelling smooth and uneven cross-sectoral growth patterns: an identification problem

Sandro Sapio (), Andrea Roventini and Mauro Napoletano

Economics Bulletin, 2006, vol. 15, issue 7, 1-8

Abstract: This paper shows that the available stylized facts on productivity dynamics, such as persistent cross-sectoral heterogeneity, do not allow to solve an identification problem regarding the impact of common drivers - such as General Purpose Technologies (GPTs) - on economic growth. The evidence of persistently heterogeneous productivity performances is consistent both with a GPT-driven model, and with a model characterized by purely independent and idiosyncratic sectoral dynamics. These results are obtained within a simple theoretical framework, and illustrated with reference to measures of concentration of the sectoral contributions to aggregate total factor productivity growth.

Keywords: Growth; General; Purpose; Technologies; Real; Cost; Reduction; Total; Factor; Productivity. (search for similar items in EconPapers)
JEL-codes: D2 O4 (search for similar items in EconPapers)
Date: 2006-09-01
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Citations: View citations in EconPapers (5)

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