20 resultados para Hygrothermal conditioning


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The goal of t.his paper is to show the possibility of a non-monot.one relation between coverage and risk which has been considered in the literature of insurance models since the work of Rothschild and Stiglitz (1976). We present an insurance model where the insured agents have heterogeneity in risk aversion and in lenience (a prevention cost parameter). Risk aversion is described by a continuou.'l parameter which is correlated with lenience and, for the sake of simplicity, we assume perfect correlation. In the case of positive correlation, the more risk averse agent has higher cost of prevention leading to a higher demand for coverage. Equivalently, the single crossing property (SCP) is valid and implies a positive correlation between coverage and risk in equilibrium. On the other hand, if the correlation between risk aversion and lenience is negative, not only may the sep be broken, but also the monotonicity of contracts, i.e., the prediction that high (Iow) risk averse types choose full (partial) insurance. In both cases riskiness is monotonic in risk aversion, but in the last case t,here are some coverage leveIs associated with two different risks (low and high), which implies that the ex-ante (with respect to the risk aversion distribution) correlation bet,ween coverage and riskiness may have every sign (even though the ex-post correlation is always positive). Moreover, using another instrument (a proxy for riskiness), we give a testable implication to disentangle single crossing and non single crossing under an ex-post zero correlation result: the monotonicity of coverage as a function of riskiness. Since by controlling for risk aversion (no asymmetric informat, ion), coverage is a monotone function of riskiness, this also gives a test for asymmetric information. Finally, we relate this theoretical results to empirica! tests in the recent literature, specially the Dionne, Gouriéroux and Vanasse (2001) work. In particular, they found an empirical evidence that seems to be compatible with asymmetric information and non single crossing in our framework. More generally, we build a hidden information model showing how omitted variabIes (asymmetric information) can bias the sign of the correlation of equilibrium variabIes conditioning on ali observabIe variabIes. We show that this may be t,he case when the omitted variabIes have a non-monotonic reIation with t,he observable ones. Moreover, because this non-monotonic reIat,ion is deepIy reIated with the failure of the SCP in one-dimensional screening problems, the existing lit.erature on asymmetric information does not capture t,his feature. Hence, our main result is to point Out the importance of t,he SCP in testing predictions of the hidden information models.

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Trata-se de uma pesquisa sobre parâmetros e indicadores quantitativos de pessoas em hospitais. Objetiva levantar e consolidar os tempos padrões, parâmetros e indicadores encontrados na literatura técnica, sobre dimensionamento de pessoas em hospitais. Busca relacionar os parâmetros e indicadores com as variáveis condicionantes do dimensionamento quantitativo de pessoas em hospitais, principalmente o número de leitos e a produção hospitalar.

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A presente tese teve como objetivo explicar a dinâmica político-institucional que produziu um quadro de relações intergovernamentais polarizado na política de saúde no âmbito do SUS ao final da década de 1990. Tal polarização ocorreu em virtude da presença simultânea de expressivo grau de municipalização e elevada capacidade indutiva e regulatória do Ministério da Saúde. As abordagens anteriores presentes na literatura sobre a descentralização do SUS produziam explicações parciais em virtude de apontarem como fatores explicativos da polarização um conjunto de razões específicas, em especial o escopo expressivamente descentralizador da Constituição de 1988, as preferências municipalistas do Movimento da Reforma Sanitária, o conteúdo das normas operacionais, o legado centralizador da trajetória da política de saúde no Brasil, a agenda centralizadora das reformas econômicas realizadas a partir da implementação do Plano Real, entre outros. Com base no arcabouço teórico do NeoInstitucionalismo Histórico, essa tese propõe uma abordagem que integra os diversos fatores condicionantes do jogo federativo setorial em torno de uma explicação sequencial das decisões que marcaram a trajetória da descentralização do SUS. Nessa abordagem, a trajetória das relações intergovernamentais é o resultado cumulativo de uma longa cadeia de decisões tomadas em contextos singulares que marcaram os governos Collor, Itamar e FHC, onde a escolha de um governo afetou o leque de opções disponíveis ao governo seguinte, deixando-lhe menos margem de mudança. Nessa lógica, a polarização federativa é vista como o produto não intencional de uma sequência de decisões que, acumuladas ao longo da década, concentraram poder, atribuições e recursos na União e nos municípios.

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This paper has several original contributions. The rst is to employ a superior interpolation method that enables to estimate, nowcast and forecast monthly Brazilian GDP for 1980-2012 in an integrated way; see Bernanke, Gertler and Watson (1997, Brookings Papers on Economic Activity). Second, along the spirit of Mariano and Murasawa (2003, Journal of Applied Econometrics), we propose and test a myriad of interpolation models and interpolation auxiliary series all coincident with GDP from a business-cycle dating point of view. Based on these results, we nally choose the most appropriate monthly indicator for Brazilian GDP. Third, this monthly GDP estimate is compared to an economic activity indicator widely used by practitioners in Brazil- the Brazilian Economic Activity Index - (IBC-Br). We found that the our monthly GDP tracks economic activity better than IBC-Br. This happens by construction, since our state-space approach imposes the restriction (discipline) that our monthly estimate must add up to the quarterly observed series in any given quarter, whichmay not hold regarding IBC-Br. Moreover, our method has the advantage to be easily implemented: it only requires conditioning on two observed series for estimation, while estimating IBC-Br requires the availability of hundreds of monthly series. Third, in a nowcasting and forecasting exercise, we illustrate the advantages of our integrated approach. Finally, we compare the chronology of recessions of our monthly estimate with those done elsewhere.

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The first contribution of this paper is to employ a superior interpolation method that enables to estimate, nowcast and forecast monthly Brazilian GDP for 1980-2012 in an integrated way; see Bernanke, Gertler and Watson (1997, Brookings Papers on Economic Activity). The second contribution, along the spirit of Mariano and Murasawa (2003, Journal of Applied Econometrics), is to propose and test a myriad of inter-polation models and interpolation auxiliary series all coincident with GDP from a business-cycle dating point of view. Based on these results, we finally choose the most appropriate monthly indicator for Brazilian GDP. Third, this monthly GDP estimate is compared to an economic activity indicator widely used by practitioners in Brazil - the Brazilian Economic Activity Index - (IBC-Br). We found that our monthly GDP tracks economic activity better than IBC-Br. This happens by construction, since our state-space approach imposes the restriction (discipline) that our monthly estimate must add up to the quarterly observed series in any given quarter, which may not hold regarding IBC-Br. Moreover, our method has the advantage to be easily implemented: it only requires conditioning on two observed series for estimation, while estimating IBC-Br requires the availability of hundreds of monthly series. The third contribution is to illustrate, in a nowcasting and forecasting exercise, the advantages of our integrated approach. Finally, we compare the chronology of recessions of our monthly estimate with those done elsewhere.