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Sandro Sapio, Andrea Roventini and Mauro Napoletano
''Modelling smooth and uneven cross-sectoral growth patterns: an identification problem''
( 2006, Vol. 15 No.7 )
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.
JEL: O4 - Economic Growth and Aggregate Productivity: General
D2 - Production and Organizations: General
Manuscript Received : Sep 01 2006 Manuscript Accepted : Sep 01 2006

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