In this article we are talking about the early development of the educational process in one of England's North American colonies. Pennsylvania attracted many immigrants from Europe by its religious freedom. Moving to a new land, Europeans from different countries brought their way of life, including various systems of education. Therefore, at the end of the beginning of the XVII-XVIII centuries there were several different types of schools. The national education system, which appeared only in the XIX century has absorbed much of the colonists created.
Recently there have been widely spread models (classifications) of educational institutions (schools) based upon regularly collected statistical data and a presupposition that all the standard indices incorporated in those models have the same meanings concerning to every possible school. The article questions this presupposition.
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.