Purpose: The issue of undisclosed household earnings prevalence and volume quantitative characteristics in Russia is considered in this article. Design / Methodology / Approach: The undisclosed earnings' prevalence econometric estimate was carried out on the panel data of the "Russian Monitoring of the Economic Situation and Health of the Population of the Higher School of Economics" (periods from 2000 to 2017) based on the Pissarides-Weber model modification, which describes the behavior of the consumer household taking into account undisclosed earning on the one hand and the relationship between income and consumption on the other hand. Findings: The households share estimates that derive undisclosed earning and the undisclosed earning share showed that they were declined during the period under review, and their contribution to poverty and inequality was indicated. Practical Implications: The presented results are important for adjusting the social and economic state policy, considering the undisclosed earnings' impact on the population wellbeing level. Originality / Value: For the first time, an econometric assessment of the undisclosed earnings of the population was carried out using microdata covering a long period of time, the trends that indicate a decrease in the prevalence and volume of undisclosed earning among Russian households during the study period have been revealed.

Introduction. The relevance of quantitative analysis of the impact of climate variables on macroeconomic indicators of monetary policy according to Russian data in the regional aspect is due to the absence of such research. The purpose of the article is to perform a quantitative assessment of the climate change impact on key macroeconomic variables of monetary policy on panel data by Russian regions. Materials and Methods. Russian regions were the subject of the study. For calculations, the authors have formed the information base for 79 regions of the Russian Federation from 2000 to 2020 according to Rosstat. The applied methodology is based on the author’s approach, combining the use of factor analysis by region at fixed year and econometric modeling using integral factors obtained at the previous stage on the panel data by region. Econometric analysis was performed using a generalized method of moments and a two-stage systematic generalized method of moments. Results. The significant impact of climate change on key macroeconomic variables controlled in the development and implementation of monetary policy measures – gross regional product and consumer price index – has been identified empirically. The research was based on econometric modeling. Discussion and Conclusion. Objective climate change taking place in the Russian regions may adversely affect the economic situation, which requires intensification of implementation and development of measures aimed at improving the environmental situation: reduction of CO2 emissions, development and use of forest-saving technologies, etc. It is proposed to consider the climate situation in the implementation of monetary policy. The results of the research will be useful both in the development and implementation of regional policy, and for specialists, civil servants who plan to improve the territorial structure of the economic space of Russia in the long term.

The share of the shadow economy in the GDP of Russia and by region — in the GRP of the regions, was estimated in the study, based on quarterly data. The methodology included two approaches — structural modeling and using of the cash demand model. Estimation of consumer price index elasticity factors by the share of shadow economy in GDP/GRP was carried out. Comparison of empirical results of the study with obtained other authors and other methods, both by country and by region, showed their comparability.

Purpose. This paper goes into detail on the advantages of a risk-based

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