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Wyszukujesz frazę "ANIOŁA, PAULINA" wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
The Impact of Age on Polish Households Financial Behavior – Indebtedness and Over-Indebtedness
Autorzy:
Anioła-Mikołajczak, Paulina
Powiązania:
https://bibliotekanauki.pl/articles/429324.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet w Białymstoku. Wydawnictwo Uniwersytetu w Białymstoku
Tematy:
household indebtedness
household over-indebtedness
age
life-cycle hypothesis
Opis:
The aim of this paper is to examine how age of the head of household affects the financial behavior of households in terms of indebtedness and over-indebtedness. The over-indebtedness was analyzed from two aspects – margin and debt service ratio indicators. The data from Household Budget Survey in 2011 conducted by Central Statistical Office of Poland was used in the analyses. To achieve the main objective, selected measures of descriptive statistics and contingency tables were used. The research results confirm that in Poland credits were taken mainly by households of young people, which is consistent with assumptions of the life cycle hypothesis. Although these assumptions were not confirmed in the case of a problem with over-indebtedness.
Źródło:
Optimum. Economic Studies; 2017, 1(85)
1506-7637
Pojawia się w:
Optimum. Economic Studies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Classification of Polish Households Based on a Credit Portfolio and Debt Service Ratio
Autorzy:
Anioła-Mikołajczak, Paulina
Powiązania:
https://bibliotekanauki.pl/articles/429788.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet w Białymstoku. Wydawnictwo Uniwersytetu w Białymstoku
Tematy:
over-indebtedness
Polish households
debt to income ratio
credit portfolio
cluster analysis
Opis:
The aim of this paper is to show the diversity of Polish households’ financial behavior in terms of debt as well as an identification of households that are characterized by a high debt to income ratio. The article also attempt to assess the debt to income ratio as a measure of households over-indebtedness. To achieve the main objective, the cluster analysis method was used. Based on the households credits portfolio and the level of debt to income ratio, 11 homogeneous groups of households were generated. Five of them were characterized by a high debt to income ratio (>30%), which classify them as overindebted.
Źródło:
Optimum. Economic Studies; 2016, 5(83)
1506-7637
Pojawia się w:
Optimum. Economic Studies
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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