Income situation in selected EU Countries based on EU SILC
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F13%3A00204878" target="_blank" >RIV/62156489:43110/13:00204878 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Income situation in selected EU Countries based on EU SILC
Original language description
The presented paper provides an analysis of income situation of selected countries in European Union. Monitoring was carried out for the years 2005--2011. The given time frame was due to the possibility of obtaining a data base for the analysis of the income situation of households, provided by the European Union Statistics on Income and Living Conditions (EU SILC), according to an EU common methodology. The paper further analyzes the income differentiation of Czech, Finish, French, Spanis and British households. The used analysis indicators include the average disposable income per eqivalized household member, Gini coefficient to measure income inequality, poverty threshold, and poverty depth indicator (Sen coefficient). The calculated indicators showthe different economic and social situation in the countries.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AH - Economics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of International Scientific Publication: Economy&Business
ISSN
1313-2555
e-ISSN
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Volume of the periodical
7
Issue of the periodical within the volume
3
Country of publishing house
BG - BULGARIA
Number of pages
13
Pages from-to
409-421
UT code for WoS article
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EID of the result in the Scopus database
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