Application of a Theorem in Stochastic Models of Elections
Previous empirical research has developed stochastic electoral models for Israel, Turkey, and other polities. The work suggests that convergence to an electoral center (often predicted by electoral models) is a nongeneric phenomenon. In an attempt to explain nonconvergence, a formal model based on intrinsic valence is presented. This theory showed that there are necessary and sufficient conditions for convergence. The necessary condition is that a convergence coefficient c is bounded above by the dimension w of the policy space, while a sufficient condition is that the coefficient is bounded above by 1. This coefficient is defined in terms of the difference in exogenous valences, the “spatial coefficient”, and the electoral variance. The theoretical model is then applied to empirical analyses of elections in the United States and Britain. These empirical models include sociodemographic valence and electoral perceptions of character trait. It is shown that the model implies convergence to positions close to the electoral origin. To explain party divergence, the model is then extended to incorporate activist valences. This extension gives a first-order balance condition that allows the party to calculate the optimal marginal condition to maximize vote share. We argue that the equilibrium positions of presidential candidates in US elections and by party leaders in British elections are principally due to the influence of activists, rather than the centripetal effect of the electorate.
This work looks at a model of spatial election competition with two candidates who can spend effort in order to increase their popularity through advertisement. It is shown that under certain condition the political programs of the candidates will be different. The work derives the comparative statics of equilibrium policy platform and campaign spending with respect the distribution of voter policy preferences and the proportionality of the electoral system. In particular, it is whown that the equilibrium does not exist if the policy preferences are distributed over too narrow an interval.
In this paper we consider the nature of local Nash equilibrium (LNE) for a model
of the 2007 Duma election in Russia, using estimates of valence obtained from sociodemographic
We then extend this sociodemographic valence model by including institutional valences,
the approval by voters of the various institutions, including the President, the PrimeMinister,
the State Duma and the Federation Council.We show by simulation that the vote maximizing
LNE of this general stochastic model were not at the electoral origin. The dominant feature
of the election was the influence of approval or disapproval of President Putin on each voter’s
Long-term deep bed filtration in porous media with size exclusion particle capture mechanism is studied. For mono dispersed suspension and transport in porous media whit distributed pore sizes, the micro stochastic model allows for upscaling and the exact solution is derived for the obtained macro scale equation system. Results show that transient pore size distribution and nonlinear relation between the filtration coefficient and captured particle concentration during suspension filtration and retention are the main features of long-term deep bed filtration, which generalises the classical deep bed filtration model and its latter modifications. Furthermore, the exact solution demonstrates earlier breakthrough and lower breakthrough concentration for larger particles. Among all the pores with different sizes, the ones with intermediate sizes (between the minimum pore size and the particle size) vanish first. Total concentration of all the pores smaller than the particles turns to zero asymptotically when time tends to infinity, which corresponds to complete plugging of smaller pores.
The article deals with the processes of building the information society and security in the CIS in accordance with modern conditions. The main objective is to review existing mechanisms for the formation of a common information space in the Eurasian region, regarded as one of the essential aspects of international integration. The theoretical significance of the work is to determine the main controls of the regional information infrastructure, improved by the development of communication features in a rapid process.The practical component consists in determining the future policies of the region under consideration in building the information society. The study authors used historical-descriptive approach and factual analysis of events having to do with drawing the contours of today's global information society in the regional refraction.
The main result is the fact that the development of information and communication technologies, and network resources leads to increased threats of destabilization of the socio-political situation in view of the emergence of multiple centers that generate the ideological and psychological background. Keeping focused information policy can not be conceived without the collective participation of States in the first place, members of the group leaders of integration - Russia, Belarus and Kazakhstan. Currently, only produced a comprehensive approach to security in the information field in the Eurasian region, but the events in the world, largely thanks to modern technology, make the search for an exit strategy with a much higher speed. The article contributes to the science of international relations, engaging in interdisciplinary thinking that is associated with a transition period in the development of society. A study of current conditions in their relation to the current socio-political patterns of the authors leads to conclusions about the need for cooperation with the network centers of power in the modern information environment, the formation of alternative models of networking, especially in innovation and scientific and technical areas of information policy, and expanding the integration of the field in this region on the information content.
Smoking is a problem, bringing signifi cant social and economic costs to Russiansociety. However, ratifi cation of the World health organization Framework conventionon tobacco control makes it possible to improve Russian legislation accordingto the international standards. So, I describe some measures that should be taken bythe Russian authorities in the nearest future, and I examine their effi ciency. By studyingthe international evidence I analyze the impact of the smoke-free areas, advertisementand sponsorship bans, tax increases, etc. on the prevalence of smoking, cigaretteconsumption and some other indicators. I also investigate the obstacles confrontingthe Russian authorities when they introduce new policy measures and the public attitudetowards these measures. I conclude that there is a number of easy-to-implementanti-smoking activities that need no fi nancial resources but only a political will.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.
This proceedings publication is a compilation of selected contributions from the “Third International Conference on the Dynamics of Information Systems” which took place at the University of Florida, Gainesville, February 16–18, 2011. The purpose of this conference was to bring together scientists and engineers from industry, government, and academia in order to exchange new discoveries and results in a broad range of topics relevant to the theory and practice of dynamics of information systems. Dynamics of Information Systems: Mathematical Foundation presents state-of-the art research and is intended for graduate students and researchers interested in some of the most recent discoveries in information theory and dynamical systems. Scientists in other disciplines may also benefit from the applications of new developments to their own area of study.