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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Macroeconomics
Article . 2014 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Finance, growth and quantile parameter heterogeneity

Authors: ANDINI M; ANDINI C;

Finance, growth and quantile parameter heterogeneity

Abstract

Abstract This paper argues that the effect of a financial stimulus on growth can vary along quantiles of the conditional growth distribution. We support this argument by presenting a theoretical finance–growth model, mainly inspired by Pagano (1993) and Canarella and Pollard (2004), where quantile parameter heterogeneity plays a role. In addition, controlling for a set of observed country characteristics and for all time-invariant characteristics, through the panel dataset of Levine et al. (2000), we present evidence that countries in the upper tail of the conditional growth distribution react more than countries in the lower tail to the same financial stimulus.

Country
Italy
Keywords

Financial Development; Economic Growth; Quantile Regression; Panel Data

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    popularity
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    influence
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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!
16
Top 10%
Average
Average
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