Bilingual education including, on the one hand, access to dominating language, and, on the other, - teaching in minority languages or teaching only languages themselves at school is an important part of language politics of a state. In many regions we observe a paradoxical situation: school education does not promote acquisition of a disappearing language, though it is highly valued by members of community. The article considers features of teaching minority languages at school in the Russian Federation on two examples - Nivkh and Kalmyk. Interviews with parents, pupils, former pupils and teachers allow to describe teaching native language at school as a procedure of maintaining identity of community.
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.