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Uncertainty in a Model with Credit Frictions

Authors: Cesa-Bianchi, Ambrogio; Fernandez-Corugedo, Emilio;

Uncertainty in a Model with Credit Frictions

Abstract

This paper investigates the relationship between uncertainty and economic activity in a DSGE model with sticky prices and credit frictions. We analyse the effect of a mean preserving shock to the variance of aggregate total factor productivity (macro uncertainty) and we compare it to the effect of a mean preserving shock to the dispersion of entrepreneurs' idiosyncratic productivity (micro uncertainty). We find that micro uncertainty has a larger impact on economic activity. While macro uncertainty is transmitted through precautionary savings, micro uncertainty primarily acts through the cost of external debt and capital demand and, therefore, it is greatly magnified by the credit friction. Our findings suggest that uncertainty shocks can generate sizable impact on economic activity only when transmitted through a credit channel.

Related Organizations
Keywords

Uncertainty shocks; credit frictions; business cycles; micro uncertainty; macro uncertainty; financial accelerator, jel: jel:E32, jel: jel:E44

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
9
Average
Top 10%
Top 10%
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