Purpose of the study. Development of a mathematical tool for assessing and predicting strategies of deferred demand on the market of household appliances. Methodological basis of the study is the basic tenets of neo-Keynesian economic theory and methods of statistical analysis: the method of grouping and binary regression. Information basis is analytical materials, expert opinions and statistical data of the Federal Service of State Statistics of Russia and the Republic of Bashkortostan. A survey was carried out by the example of the market of household appliances in the Republic of Bashkortostan. The study analyzed more than 800 questionnaires of consumers of household appliances. The study results in the authors' definition of deferred demand as an economic category, provides main reasons for the transfer of part of the demand into deferred in the face of uncertainty, identifies factors that shape deferred demand on the market of household appliances; marks general and specific features of the market of household appliances in the Republic of Bashkortostan distinguishing it from the Russian market as a whole; a model of binary regression was built and tested; a strong correlation between the amount of deferred demand, price index, dollar exchange rate, unemployment rate and the index of consumer confidence was proved, which allows to predict the subsequent deferred demand for household appliances. The proposed study results represent a continuation and development of the study of consumer demand and behavior conducted by the authors in this field.

Purpose: The paper is aimed at extending the ideas about the functioning of distribution networks. The main objective of the research is to determine the extent to which the development of wholesale trade within the central places of the region and the incomes of the population have an impact on the volume of shipped goods in municipal areas. Design/Methodology/Approach: Hierarchical linear modeling (HLM) is used in this article. This method defines group and intergroup variation taking into account the multi-level nature of the processes. The variation in the volume of products shipped in municipalities is considered as a result of the influence of the factors at two levels: population incomes (municipal level) and wholesale trade turnover (regional level). The research is conducted on data obtained from 331 municipalities located in 7 constituent entities of the Russian Federation. Findings: The relevance of the constructed model indicates the possibility of application of the hierarchical analysis methods in the sales chain research. For 7 subjects of the Russian Federation under consideration, it was found that the role of distribution networks is small. Practical Implications: It is determined that in order to promote products it is required to pay attention to the role of the wholesale link in the development of production of the territories in question. The use of hierarchical analysis in market research makes possible to apply a balanced approach to the creation of favorable conditions in the development of public and private programs for market infrastructure development. Originality/Value: The use of hierarchical analysis methods in the research of sales chains expands the understanding of their functioning, since, unlike others, it makes possible to take into account the impact of the factors at several levels of their formation.