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Research in Economics
Article . 2012 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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
SSRN Electronic Journal
Article . 2011 . Peer-reviewed
Data sources: Crossref
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Household Financial Vulnerability: An Empirical Analysis

Authors: L. Anderloni; E. Bacchiocchi; D. Vandone;

Household Financial Vulnerability: An Empirical Analysis

Abstract

Abstract Using survey data, we investigate household financial distress. Specifically, we propose an indicator of financial vulnerability to jointly analyse different features of household financial distress, analysing its socio-demographic and economic determinants. A total number of 3102 Italian households make up the sample. The empirical analysis highlights that for the median level of the financial vulnerability index households already exhibit some important symptoms of financial vulnerability, such as problems in getting to the end of the month or an inability to face unexpected expenses. As regards the determinants of the financial vulnerability index, three findings need to be pointed out. First, the level of debt servicing is positively related to financial vulnerability and the effect is stronger for households holding unsecured debt, i.e. consumer credit. Second, financial vulnerability also increases for impulsive individuals, who may adopt impatient, short-sighted behaviour patterns which make it difficult for them to be fully aware of the consequences of their financial and spending decisions. Third, a higher level of education helps to reduce financial fragility.

Country
Italy
Keywords

Consumer credit; Financial vulnerability index; Household debt; Principal component analysis; Survey data

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    selected citations
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    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).
    162
    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.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
162
Top 1%
Top 10%
Top 10%
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