Several approaches to the concept of fatherhood present in Western sociological tradition are analyzed and compared: biological determinism, social constructivism and biosocial theory. The problematics of fatherhood and men’s parental practices is marginalized in modern Russian social research devoted to family and this fact makes the traditional inequality in family relations, when the father’s role is considered secondary compared to that of mother, even stronger. However, in Western critical men’s studies several stages can be outlined: the development of “sex roles” paradigm (biological determinism), the emergence of the hegemonic masculinity concept, inter-disciplinary stage (biosocial theory). According to the approach of biological determinism, the role of a father is that of the patriarch, he continues the family line and serves as a model for his ascendants. Social constructivism looks into man’s functions in the family from the point of view of masculine pressure and establishing hegemony over a woman and children. Biosocial theory aims to unite the biological determinacy of fatherhood with social, cultural and personal context. It is shown that these approaches are directly connected with the level of the society development, marriage and family perceptions, the level of egality of gender order.
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.