Determinants of Households’ Credit Behavior in Russia
T.V. Toropova and
International Journal of Economics & Business Administration (IJEBA), 2019, vol. VII, issue Special 2, 270-279
Purpose: The main goal of this work is to substantiate the need to consider microeconomic statistics when analyzing consumer lending to the population, as well as implementing approaches to modeling household credit behavior at the micro level. Design/Methodology/Approach: The article proposes and implements a comprehensive statistical approach that allows identifying the specificity of the influence of demographic, socio-economic characteristics of households on their credit activity. Findings: The article states that loan borrowings are more often found in households with children of preschool age who are in relatively high-income groups, who much more often inform about cash incomes that do not correspond to the declared level of consumption. Members of these households are more likely to work. The age range of borrowers expanded during the study period, and no prevalence of any age group was observed. Practical Implications: This result is of great practical importance, since, as already indicated, in assessing the solvency of the borrower, credit organizations are mainly focused on individual characteristics. Originality/value: It was found that the hypothesis that individual characteristics are important determinants of household lending activity has not been confirmed. And variables that characterize households significantly affect their credit behavior.
Keywords: Credit behavior; households; determinants of credit activity; Logit model. (search for similar items in EconPapers)
JEL-codes: D14 G02 (search for similar items in EconPapers)
References: Add references at CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:ers:ijebaa:v:vii:y:2019:i:special2:p:270-279
Access Statistics for this article
More articles in International Journal of Economics & Business Administration (IJEBA) from International Journal of Economics & Business Administration (IJEBA)
Bibliographic data for series maintained by Marios Agiomavritis (). This e-mail address is bad, please contact .