Impact of consumer crediting on household consumption: economic and statistical study

This article presents qualitative characteristics of the impact consumer crediting has on household consumption. The research was conducted on the basis of empirical data and methods of mathematical statistics. The assessment of the impact of credit debt on the volume of consumption elasticity was carried out using the equation of multiple regression, where consumer expenses of a household -are dependent variables, and the size of credit exposure, calculated as the relation of credit payments to the available resources of households, and some other characteristics of households - are regressors. In the introductory part the author proves the importance of determining the mechanisms for smoothing the consumption amid growing household expenditures on payments for credits. The first section of the article analyses data sources used in the author’s models and describes the Russian monitoring of economic situation and health of the population of the Higher School of Economics (RLMS-HSE) (from 2006 to 2013). The second section depicts modern global trends and Russian situation in credit debt of households, while the third section comments on statistics of their credit load. The forth and final section presents models demonstrating the magnitude of credit load in regard to households’ consumption. The essence of the author’s position is that determining the consumption smoothing mechanisms with increasing household expenditures on payments for credits; clarifying the structure of households prone to borrowing, and households with an altered revenue and expenditure structure create a foundation for developing the policy of compliance between interests of financial institutions and general public.

потребление домашних хозяйств, кредитование домашних хозяйств, финансовое поведение домашних хозяйств, статистика потребительских расходов, кредитная нагрузка на домашние хозяйства, household consumption, granting loans to households, financial behavior of households, statistics of household expenditures, loan burden of households

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