Financial literacy programs have been actively implemented in Russia and the world over the past twenty years. At the same time, the effectiveness of such programs (and, therefore, the need for their implementation) is sometimes questioned. The purpose of this article is to highlight the key areas of development of financial literacy programs based on an analysis of the accumulated experience and research conducted in this area. We show that causal studies confirmed the presence of positive effects of financial literacy programs. Standard financial literacy courses have limited effects on financial behavior due to psychological traits, but this can be fixed by using behavioral interventions. Financial well-being and financial stability (more complex phenomena that characterize the wellbeing of people) are promising areas for future research.

Despite the wide acceptance of sustainable development goals and indicators there is no universal sustainable development strategy or roadmap. We chose simulation game Strategem as a model of economy with full information to identify the relationship between possible development strategies and indicators of sustainable development. The game is developed by the team led by Dennis Meadows for training managers and students. Game is based on the system-dynamic model and reflects the relationship between the key sectors of the economy. The participants of the game are the Cabinet of Ministers, whose goal is to lead the country to sustainable development. In 1992, the game was translated by the staff of the Faculty of Economics at Moscow State University and adapted for teaching purposes. In this study, we analyzed the results of 145 countries, identified the sustainable development paths and indicators of its achievement. We found that the key factors of sustainability are the national income, the sustainability index, the standard of living, the resource efficiency and the population. We conclude that the lack of sustainability is not a consequence of underdevelopment or poverty, but rather the result of imbalanced or inefficient resources usage.

The art market has special characteristics that distinguish it from other markets: a fixed volume of supply, high heterogeneity and low liquidity of goods, high transaction costs. This affects the price management tools used by the main market participants. The purpose of this work is to identify key tools that are used by market participants to influence the sale price of paintings, as well as to highlight stable combinat,ions of these tools. Hedonic regression, principal component analysis and hierarchical clustering are used as analysis tools. On the example of the Russian art market, 4 groups of auction houses were identified, differing in the set of tools for managing the sale price of paintings.

The purpose of this article is to assess the impact of the results of shadow economic activity on the value of the main macroeconomic indicator at the regional level in the Russian Federation - the gross regional product. The article uses the definition of the category "shadow economy", first formally formulated in the 1993 SNA, developed by the UN Statistical Commission. Based on it, a statistical assessment of the shadow economy in the subjects of the Russian Federation from 2010 to 2016 was carried out by improving the existing Rosstat methodology since no adjustment of the GVA for shadow operations is made at the regional level. The relative scale of the shadow component was measured, i.e. its share in GRP in 80 subjects of the Russian Federation. The analysis is limited to 2016, since a new classifier of economic activities has been put into effect since this year, which does not allow analyzing the contribution of individual industries to GRP due to their different economic content, even while maintaining the former name. At the next stage, the study carries out clustering of Russian regions by the share of the shadow economy in GRP. The results showed that both for the country as a whole and for individual subjects of the Russian Federation, during the analyzed period, there was a decrease in the share of the shadow economy in GRP.

The work is devoted to a review of the results of the 153rd meeting of the Dispute Club “Economic Policy Knots” of the Association of Russian Economic Think Tanks (hereinafter referred to as ARETT) on the topic "Regulation of agri-food prices and exports: a memory of the future or a return to the past?". The purpose of the event was to discuss issues related to the development and regulation of the agro-food sector in the Russian economy. The disputants were Artavazd Akopyan, Senior Agricultural Economist of the World Bank, and Sergey Viktorovich Kiselev, Head of the Department of Agroeconomics, Faculty of Economics, Lomonosov Moscow State University. The review presents the key ideas of the disputants, as well as a summary of the main results of their answers to questions.