854 resultados para decentralization of social programs


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O artigo analisa o processo de implementa????o e o modelo de gest??o do Programa Bolsa Fam??lia (PBF), no cerne do debate de centraliza????o-descentraliza????o. A hip??tese do estudo ?? que o PBF n??o apenas caminhou para o fortalecimento da descentraliza????o, superando alguns desafios da consolida????o do ???pacto federativo???, como tamb??m construiu uma configura????o mais complexa, pr??xima ?? gest??o em redes. Para tanto, ?? apresentada uma discuss??o te??rica acerca do federalismo, da descentraliza????o das pol??ticas sociais e do conceito de redes de pol??ticas p??blicas. Em seguida, s??o discernidos os princ??pios que fundamentaram a concep????o do programa, bem como as principais estrat??gias de implementa????o. Como conclus??o, argumenta-se que apesar de ainda persistirem desafios ?? gest??o compartilhada, a implementa????o do PBF se pautou n??o apenas no princ??pio da descentraliza????o, como tamb??m na transpar??ncia, controle e participa????o popular.

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Magdeburg, Univ., Fak. für Wirtschaftswiss., Diss., 2010

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In cost-effectiveness analysis (CEA) it is usually assumed that a QALY is of equal value to everybody, irrespective of the patient's age. However, it is possible that society assigns different social values to a QALY according to who gets it. In this paper we discuss the possibility of weighting health benefits for age in CEA. We also examinethe possibility that age-related preferences depend on the size of the health gain. An experiment was performedto test these hypotheses. The results assessing suggest that the patient's age is a relevant factor when assessing health gains.

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This paper decomposes the conventional measure of selection bias in observational studies into three components. The first two components are due to differences in the distributions of characteristics between participant and nonparticipant (comparison) group members: the first arises from differences in the supports, and the second from differences in densities over the region of common support. The third component arises from selection bias precisely defined. Using data from a recent social experiment, we find that the component due to selection bias, precisely defined, is smaller than the first two components. However, selection bias still represents a substantial fraction of the experimental impact estimate. The empirical performance of matching methods of program evaluation is also examined. We find that matching based on the propensity score eliminates some but not all of the measured selection bias, with the remaining bias still a substantial fraction of the estimated impact. We find that the support of the distribution of propensity scores for the comparison group is typically only a small portion of the support for the participant group. For values outside the common support, it is impossible to reliably estimate the effect of program participation using matching methods. If the impact of participation depends on the propensity score, as we find in our data, the failure of the common support condition severely limits matching compared with random assignment as an evaluation estimator.

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v. 1. System and program description.--v. 2. Error Messages.--v. 3. Summary of control cards.--v. 4. Sample jobs.--v. 5. Formulas and statistical references.--v. 6. Primer.

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Thesis (Master's)--University of Washington, 2016-06

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History of child and social welfare in the State of Iowa including legal responsibilities, rules and regulations, inspections and licensing and supervision. it also covers cooperation with state agencies. It also describes in detail the histories, functions and problems of individual welfare homes and schools.

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After 21 years of hosting the Creative Writing Seminar for Helping Professionals, in 2012 the School expanded its efforts to reach social workers and showcase their creativity through a national poetry competition. For more information about creative writing at Iowa, please go to page 42.

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ABSTRACT My study seeks to answer the main question: "how does entrepreneurs' social capital positively and negatively affect their resource mobilization efforts, and exploitation of entrepreneurial opportunity?" To answer this question, I develop a model for examining positive and negative effects of social capital on resource accumulation by entrepreneurs, and the subsequent effect of resource accumulation on the exploitation of entrepreneurial opportunity, and utilize data from Africa to ëmpirically test the relationships in this model. Developing nations are a suitable context because: a) They require entrepreneurship for economic development, b) They have received less attention in management and entrepreneurship research, c) Because of inadequately-developed institutions, entrepreneurs from developing nations face major resource mobilization challenges hence they often turn to their social ties for resources, and d) The communalistic and collectivistic nature of most developing nations -encouraging support and sharing of resources- may help us better understand how society's values and structures may contribute and also deduct firm resources. My study reveals that social capital contributes resources to entrepreneurs in developing nations at a cost that takes away resources, and that more resources but lower costs facilitate entrepreneurial opportunity exploitation. For entrepreneurs in developing nations, large networks, greater shared identity, and more trust are beneficial. To increase chances of raising more resources, entrepreneurs from communalistic societies should include network members from outside their communities. Besides providing financial support, policy-makers should develop training programs and advisory services on configuration of entrepreneurs' networks so as to achieve more resources at a low cost. My study insights can help improve entrepreneurs' resource accumulation efforts and the subsequent growth of their firms, leading to the overall economic growth of developing nations.