A gestão estratégica no terceiro setor: estudo de caso numa organização eclesiástica

This study has the objective to evaluate until which extent the adoption of the strategic planning by the Presbyterian Church of Manaus (IPM) expresses its effective fitting within the strategic management paradigm, whose ethos is the predominance of the instrumental-strategic rationality and the market-orientated logic in the managerial actions. It is assumed as a research initial hypothesis that the adoption of this technique by IPM represented an instrumental-strategic managerial action and a deliberated incorporation of market-orientated managerial parameters, strengthening some of the organizational studies¿ ultimate conclusions about the colonization of the third sector¿s organizations by the capitalist system logic. The research method foresees: (a) a bibliographical review about the themes ¿critical social theories¿, ¿strategic management¿, ¿third sector¿ and ¿religious organizations sociology¿; and (b) a case study at IPM, religious organization established at the state of Amazonas, branch of the Presbyterian Church of Brazil (IPB) and socially active according to religious aims and related (social care, cultural, etc.).

Bounds on policy relevant parameters with discrete policy variation

When estimating policy parameters, also known as treatment effects, the assignment to treatment mechanism almost always causes endogeneity and thus bias many of these policy parameters estimates. Additionally, heterogeneity in program impacts is more likely to be the norm than the exception for most social programs. In situations where these issues are present, the Marginal Treatment Effect (MTE) parameter estimation makes use of an instrument to avoid assignment bias and simultaneously to account for heterogeneous effects throughout individuals. Although this parameter is point identified in the literature, the assumptions required for identification may be strong. Given that, we use weaker assumptions in order to partially identify the MTE, i.e. to stablish a methodology for MTE bounds estimation, implementing it computationally and showing results from Monte Carlo simulations. The partial identification we perfom requires the MTE to be a monotone function over the propensity score, which is a reasonable assumption on several economics' examples, and the simulation results shows it is possible to get informative even in restricted cases where point identification is lost. Additionally, in situations where estimated bounds are not informative and the traditional point identification is lost, we suggest a more generic method to point estimate MTE using the Moore-Penrose Pseudo-Invese Matrix, achieving better results than traditional methods.