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SSRN Electronic Journal
Article . 2018 . Peer-reviewed
Data sources: Crossref
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A Stochastic Estimated Version of the Italian Dynamic General Equilibrium Model (IGEM)

Authors: Acocella, Nicola; Alleva, Giorgio; Beqiraj, Elton; Di Bartolomeo, Giovanni; DI DIO, Fabio; Di Pietro, Marco; Francesco Felici,Francesco; +1 Authors

A Stochastic Estimated Version of the Italian Dynamic General Equilibrium Model (IGEM)

Abstract

We estimate with Bayesian techniques the Italian dynamic General Equilibrium Model (IGEM), which has been developed at the Italian Treasury Department, Ministry of Economy and Finance, to assess the effects of alter-native policy interventions. We analyze and discuss the estimated effects of various shocks on the Italian economy. Compared to the calibrated version used for policy analysis, we find a lower wage rigidity and higher adjustment costs. The degree of prices and wages indexation to past inflation is much smaller than the indexation level assumed in the calibrated model. No substantial difference is found in the estimated monetary parameters. Estimated fiscal multipliers are slightly smaller than those obtained from the calibrated version of the model.

Country
Italy
Keywords

Dynamic General Equilibrium Model; Bayesian estimation; Simulation Analysis; Italy

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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
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