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Limited Asset Market Participation and the Euro Area Crisis: An Empirical DSGE Model

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Alternative Title
Estimating a DSGE model with Limited Asset Market Participation for the Euro Area
Author(s)
Albonico, Alice 
Paccagnini, Alessia 
Tirelli, Patrizio 
Uri
http://hdl.handle.net/10197/10146
Date Issued
July 2019
Date Available
25T07:43:30Z April 2019
Abstract
We estimate a medium‐scale dynamic stochastic general equilibrium model for the Euro area with limited asset market participation (LAMP). Our results suggest that in the recent European Monetary Union years LAMP is particularly sizable (39% during 1993–2012) and important to understand business cycle features. The Bayes factor and the forecasting performance show that the LAMP model is preferred to its representative household counterpart. In the representative agent model the risk premium shock is the main driver of output volatility in order to match consumption correlation with output. In the LAMP model this role is played by the investment‐specific shock, because non‐Ricardian households introduce a Keynesian multiplier effect and raise the correlation between consumption and investments. We also detect the contractionary role of monetary policy shocks during the post‐2007 years. In this period consumption of non‐Ricardian households fell dramatically, but this outcome might have been avoided by a more aggressive policy stance.
Sponsorship
European Commission - Seventh Framework Programme (FP7)
Type of Material
Journal Article
Publisher
Wiley
Journal
Economic Inquiry
Volume
57
Issue
3
Start Page
1302
End Page
1323
Copyright (Published Version)
2019 Western Economic Association International
Keywords
  • DGSE

  • Limited asset market ...

  • Bayesian Estimation

  • Euro area

  • Business Cycle

Classification
C11, C13, C32, E21, E32, E37
DOI
10.1111/ecin.12791
Language
English
Status of Item
Peer reviewed
ISSN
0095-2583
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Business Research Collection
Scopus© citations
5
Acquisition Date
Jan 31, 2023
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836
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Jan 31, 2023
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