46 resultados para Non-pecuniary tax sanctions


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This study examines the quantification of compensation for non-pecuniary damage, awarded by means of judicial decisions based on equity, and seeks to verify whether such calculation safeguards legal certainty and predictability when applying the law, as well as whether it observes the principles of proportionality and equality. Firstly, the limits for discretionary judgment permitted to the judge were determined, by evaluating the criteria established under the law. Then, by examining the grounds of the judicial decisions in cases that had been selected beforehand, this study sought to detect operation modes in concrete considerations of equity used by judges. The examination of the grounds on which these judicial decisions are based permitted the comprehension of the calculation method used in each case and the observation that the criteria of compensatory nature, such as the extent of the damage and the respective consequences, assumed a primary role. Despite discrepancies in viewpoints with regard to certain issues of law, the jurisprudence examined reveals that great care is taken to consider the solutions reached in similar cases, in an attempt to ensure that the different criteria applied in the quantification of compensation are given uniform relevance. The comparison of decisions, reported to cases with similar legal contours, did not reveal relevant discrepancies in the calculation criteria used, nor are they disproportionate regarding the amount of compensation awarded, which means that resorting to equity, in determining the compensation to be awarded due to nonpecuniary damage, does not jeopardize legal certainty or predictability when applying the law, and observes the principle of proportionality, which is anchored in the constitutional principle of equality. The study performed, led to the conclusion that the grounds on which judicial decisions are based, by itemising the elements which are taken into account and the criteria adopted by the judge, allow these to be taken into consideration in similar cases, contributing towards uniform interpretation and application of the law, ensuring legal certainty and predictability when resorting to equity while quantifying compensation.

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Applied Mathematical Modelling, Vol.33

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Signal Processing, vol. 86, nº 10

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15th IEEE International Conference on Electronics, Circuits and Systems, Malta

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Master Erasmus Mundus Crossways in European Humanities

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Dissertation presented in fulfilment of the requirements for the Master’s degree in Conservation and Restoration

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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Computational Logic

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Tese apresentada para cumprimento dos requisitos necessários à obtenção do grau de Doutor em História da Arte da Antiguidade

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The last three decades have seen quite dramatic changes the way we modeled time dependent data. Linear processes have been in the center stage in modeling time series. As far as the second order properties are concerned, the theory and the methodology are very adequate.However, there are more and more evidences that linear models are not sufficiently flexible and rich enough for modeling purposes and that failure to account for non-linearities can be very misleading and have undesired consequences.

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This paper suggests that a convenient score test against non-nested alternatives can be constructed from the linear combination of the likelihood functions of the competing models. It is shown that this procedure is essentially a test for the correct specification of the conditional distribution of the variable of interest.

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Dissertação para obtenção do Grau de Mestre em Engenharia Física

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Dissertation presented to obtain the PhD degree in Biology

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics