How do trade and communication costs shape the spatial organization of firms?
Single-period linear dynamic marketing model is examined. Obtaining of optimal value of share of advertising costs in the overall structure of communication costs is the goal of the research. Dependence of optimal structure of communication costs on proportion of market factors (parameters), influencing the sales process negatively and/or positively, is defined.
We study Krugman's core–periphery (CP) model for most general cases of nonidentical regions and fully characterize instant and long-run equilibria. Assuming immobility of labor, we describe the behavior of equilibrium wages/real wages. Moreover, the relative wages/real wages of industrial workers can both increase and decrease with the population with which they are associated. Under the assumption of industrial labor mobility, possible patterns of economic evolution, as responses to trade freeness, are fully described. We show that in the case of noticeable agricultural asymmetry, all mobile labor inevitably accumulates in countries with larger agricultural populations.
The purpose of paper is to investigate how the interplay of trade, commuting and communication costs shapes economy at both inter-regional and intra-urban level. Specifically, we study how trade affects the internal structure of cities and how decentralizing the production and consumption of goods in secondary employment centers allows firms located in a large city to maintain their predominance. The feature of approach is using of two-dimensional city pattern instead of the "long narrow city'' model.
We study multiregional extension of Krugman's Core-Periphery model. Comprehensive characterization of agglomeration stability
is obtained in terms of the basic parameters of model. In particular, condition of uniqueness of the stable total agglomerated equilibrium were obtained. The main feature of this paper is that the considered model is asymmetric, i.e., uneven allocation of the immobile (agricultural) population across regions is allowed. Unlike the previously known results for asymmetric CP model, which were based on numerical simulations, this research is quite analytical.
The paper examines the structure, governance, and balance sheets of state-controlled banks in Russia, which accounted for over 55 percent of the total assets in the country's banking system in early 2012. The author offers a credible estimate of the size of the country's state banking sector by including banks that are indirectly owned by public organizations. Contrary to some predictions based on the theoretical literature on economic transition, he explains the relatively high profitability and efficiency of Russian state-controlled banks by pointing to their competitive position in such functions as acquisition and disposal of assets on behalf of the government. Also suggested in the paper is a different way of looking at market concentration in Russia (by consolidating the market shares of core state-controlled banks), which produces a picture of a more concentrated market than officially reported. Lastly, one of the author's interesting conclusions is that China provides a better benchmark than the formerly centrally planned economies of Central and Eastern Europe by which to assess the viability of state ownership of banks in Russia and to evaluate the country's banking sector.
The paper examines the principles for the supervision of financial conglomerates proposed by BCBS in the consultative document published in December 2011. Moreover, the article proposes a number of suggestions worked out by the authors within the HSE research team.
The paper studies a problem of optimal insurer’s choice of a risk-sharing policy in a dynamic risk model, so-called Cramer-Lundberg process, over infinite time interval. Additional constraints are imposed on residual risks of insureds: on mean value or with probability one. An optimal control problem of minimizing a functional of the form of variation coefficient is solved. We show that: in the first case the optimum is achieved at stop loss insurance policies, in the second case the optimal insurance is a combination of stop loss and deductible policies. It is proved that the obtained results can be easily applied to problems with other optimization criteria: maximization of long-run utility and minimization of probability of a deviation from mean trajectory.