Relatore:
Martina Sartori
- University of Trento
mercoledì 20 gennaio 2016
alle ore
12.30
Polo Santa Marta, Via Cantarane 24, Stanza 1.59
Relatively small sectoral productivity shocks could lead to sizable macroeconomic variability. Whereas most contributions in the literature analyze the issue of aggregate sensitivity using simple general equilibrium models, a novel approach is proposed in this paper, based on stochastic simulations with a global CGE model. We find that the variability of the GDP, induced by sectoral shocks, is basically determined by the degree of industrial concentration as measured by the Herfindahl index of indus- trial value added. The degree of centrality in inter-industrial connectivity, measured by the standard deviation of second order degrees, is mildly sig- nificant, but it is also correlated with the industrial concentration index. After controlling for the correlation effect, we find that connectivity turns out to be statistically significant, although less so than granularity.
- Referente
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Diego
Lubian
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Referente esterno
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- Data pubblicazione
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16 luglio 2015