The high and persistent level of income inequality limits the opportunities for economic growth and contributes to the persistence of a high poverty rate in Russia. Reducing inequality is integral to achieving the Sustainable Development Goals (SDG-10); thus, greater focus is needed to reduce income inequality. We assess income inequality based on a representative income and expenditure data collected at the micro level to determine the risk of increasing inequality and poverty in the context of specific socio-demographic groups and income sources. We look at the contribution of various household income sources to total income inequality, taking into account the differences in the weighting of income components, the unevenness of their distribution, and their correlation with the total distribution of income. The main data source is the project “The Russia Longitudinal Monitoring Survey-Higher School of Economics” (RLMS-HSE) for 2000–2018. Calculation of the elasticity of the Gini index by sources of total income for poor and non-poor households revealed their multidirectional impact on overall inequality. We show that social transfers in poor households do not help to reduce inequality. This indicates the need for closer attention to this phenomenon when making policy decisions connected with social policy. Moreover, the “hidden incomes” appear to be a factor reducing inequality for poor households within the framework of the accepted definitions and the formed sample of households.

The article suggests an original approach to economic security system indicators formation at micro level based on the assessment of changes in households' living and financial behavior under economic crisis. An econometric implementation based on the triangular recursive system of equations is used with a multivariate probit model, dealing with unobservable individual heterogeneity, with the bias atributed to omitted variables and endogeneity. The estimation was performed according to the representative survey of the population "The Russia Longitudinal Monitoring Survey-Higher School of Economics (RLMS-HSE) (RLMS-HSE, 2017).

The subject of the study is the dynamics of real and nominal GDP in Russia for the period from 1995 to 2024 inclusive. In this study, the impact of the money supply on the economic growth rate and the level of inflation in the Russian Federation is assessed, and a forecast of such an impact is made for 2025. The purpose of the study is to determine, using quantitative methods, the degree of influence of the money supply on the dynamics of Russian GDP and inflation in order to identify the direction and limits of monetary management of the economy. The relevance of the study is that the results allow obtaining a higher rate of economic growth in Russia. The result of the study is the constructed stochastic model of the annual balanced increment of the money supply, as well as the discovered non-linear statistical relationship between the dynamics of the increments of the money supply and GDP. Dynamic modeling of the money supply was used as a method of analysis. Dynamic modeling of the money supply was used as a method of analysis.The model constructed by the authors, which includes the Keynesian demand function for the money supply and the neoclassical Cobb-Douglas production function, approximating the dynamics of GDP, helped to calculate the annual volume of money supply growth (M2 aggregate), accelerating the GDP growth rate in modern economic conditions. A non-linear relationship between the dynamics of the money supply and GDP was confirmed in the course of the study, which made it possible to evaluate the most optimal increase in the money supply in the country to accelerate the growth of Russian GDP. The result thatwas obtained indicates that one should not artificially restrain the growth of the money supply, since the analysis of time series using vector autoregression recorded a positive effect of the growth of the money supply on the dynamics of Russian GDP and the absence of any impact on the dynamics of inflation.

Purpose: Identification and assessment of the consequences of raising the retirement age and possible changes in the households' welfare because a part of the pre-retirement age population will remain in the labor force five years longer. Design/Methodology/Approach: The initial data for the analysis and modeling are the data of a representative survey on the "Russian Longitudinal Monitoring Survey-HSE" project for 2017. The object of the analysis were women aged 55 and older and men of 60 years and older. Microsimulation was carried out, that is all men aged from 60 to 65 and women from 55 to 60 were conditionally transferred to the working population, and changes in their employment and incomes were estimated. Based on the econometric model, an assessment of factors that are incentives to continue working after retirement has been obtained. Results: The presented calculations indicated the fact that despite an increase in the labor supply due to an increase of the retirement age, no employment surplus in the labor market is foreseen. Currently, the poverty level among retired households is significantly lower than the average one, and this trend will continue in the future. Practical implications: The results are important for the adjustment of social policy for retirees. Originality/Value: The study revealed the following new trends: 1) with the growth of the educational level, the probability of employment after the retirement age increases; 2) all other things being equal, women after retirement have a greater chance of being employed than men do; 3) for the majority of retirees employment is not traumatic.

Purpose: The paper demonstrates the authors‘ approach for the identification of groups of individuals who are prone to manifestations of various deviations in financial behavior. Design/Methodology/Approach: The research is based on empirical data from a survey of 912 senior students using a specially designed questionnaire. Applying a latent class analysis technique we distribute students into groups that differ in their attitude toward money, financial literacy, financial strategies, risk appetite, and a propensity to deviant behavior. Findings: The study showed that more prone to deviant financial strategies are mainly young men, prone to financial risk, enrolled in the commercial form of education, natives of regional subordination cities, those who not inclined to innovative financial strategies. More likely to be involved in illegal financial schemes those who we classified as “spendthrifts” from families without high income, “savers” and “reasonable” from high-income families. Practical Implications: Research results can be used to formulate policies to improve population financial literacy, as well as to adjust economic policy in general. There is a need for financial education programs to pay special attention to the issues of countering fraud, preventing involvement in money laundering and terrorism financing (ML/FT) processes. Originality/Value: The socio-demographic portrait of students most likely to engage in illegal financial strategies is not clearly formed. Individuals may be subject to financial deviations in some cases, with the purposeful influence of certain persons or circumstances.