ARTIGO ORIGINAL / ORIGINAL ARTICLEA heterogeneidade da mortalidade da população brasileira e aspectos distributivos na previdência social: uma análise atuarial da proposta de idade mínima de aposentadoria Palavras-chave: reforma da previdência, idade mínima de aposentadoria, heterogeneidade da mortalidade, expectativa de vida, justiça atuarial.
Abstract:With the objective of reforming the Brazilian social security system, the Federal Government sent to the House of Representatives the Constitutional Amendment Proposal nº 287/2016, which, among other measures, proposes to establish a progressive statutory retirement age. This paper evaluated the distributive aspects that this measure can generate for the taxpayers, based on the calculation of the actuarially fair contribution rates considering the mortality heterogeneity of the Brazilian population. As a main result, it has been observed that there will be a negative redistribution, in which those with low life expectancy, who entered the labor market still young and with low salary growth, will finance the retirement income of the ones with higher life expectancy, who have entered the labor market at an older age and have greater prospects for wage growth.
Statistical and probabilistic reasoning enlightens our judgments about uncertainty and the chance or beliefs on the occurrence of random events in everyday life. Therefore, there are scientists working with Probability and Statistics in various fields of knowledge, what favors the formation of scientific network collaborations of researchers with different backgrounds. Here, we propose to describe the Brazilian PhDs who work with probability and statistics. In particular, we analyze national and states collaboration networks of such researchers by calculating different metrics. We show that there is a greater concentration of nodes in and around the cites which host Probability and Statistics graduate programs. Moreover, the states that host P&S Doctoral programs are the most central. We also observe a disparity in the size of the states networks. The clustering coefficient of the national network suggests that this network and regional differences especially with respect to states from South-east and North is not cohesive and, probably, it is in a maturing stage.
In this paper, we analyzed the co-authorship network between all CNPq’s productivity research fellows in the Probability and Statistics area in Brazil. Our aim was to describe and to understand how network measures influence researchers’ productivity. The data was gathered from the CNPq’s Lattes Platform using the software scriptLattes, and a link between two fellows represents the fact that they wrote an article together from 2009 to 2013. The network is disconnected and has only 4.7% of its possible connections. Through a regression analysis, we were able to infer that the centrality positions of an author matters to his/her productivity. As expected, closeness centrality had a negative effect on fellows’ productivity, while the degree centrality had a positive effect.
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