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SSRN Electronic Journal
Article . 2018 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2018
Data sources: EconStor
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Great Volatility and Great Moderation

Authors: Grazzini, Jakob; Massaro, Domenico;

Great Volatility and Great Moderation

Abstract

We investigate the sources of the great changes in GDP volatility observed from 1966 to 2000. We develop a general equilibrium model and calibrate it to US data in order to characterize the contribution of micro level productivity shocks, inter-sectoral linkages and households' behavior to aggregate volatility. Our results show that changes in sectoral volatility played an important role in shaping volatility at the aggregate level. Moreover, asymmetries in the economic structure sometimes had an amplifying, and other times a dampening effect on aggregate volatility. We show that the different impact depends on the time-varying correlation between sectoral volatilities and the relative importance of specific sectors in the economy.

Keywords

business cycle, ddc:330, micro-macro volatility, E23, D57, input-output network, E32

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
bronze