1,721,028 research outputs found

    Household Incomes and Redistribution in the European Union: Quantifying the Equalising Properties of Taxes and Benefits. ENEPRI Working Paper, No. 48, 4 February 2007

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    The systems of direct taxes and cash benefits in the Member States of the European Union vary considerably in size and structure. We explore their direct impacts on cross-sectional income inequality (termed "redistributive effect" for the purpose of this paper) using EUROMOD, a tax-benefit microsimulation model for the European Union. This relies on harmonised household micro-data representative of each national population together with simulations of entitlements to cash benefits and liabilities for taxes and social contributions. It allows us to draw a more comprehensive – and comparable – picture of the combined effects of transfers and taxes than is usually possible. We decompose the redistributive effect of taxbenefit systems to assess and compare the effectiveness of individual policies at reducing income disparities. We derive results for the 15 "old" members of the European Union and present them for each country separately as well as for the EU-15 as a whole

    The redistributive effect and progressivity of taxes revisited: An international comparison across the European Union

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    Over the last few years concern for income inequality in European countries has increased remarkably. In this context, taxation is an important redistributive instrument and we investigate the redistributive role of direct taxes. We focus on the EU-15 countries and the evolution over the period 1998-2008, using EUROMOD, the EU-wide tax-benefit model. The research aim of this paper is twofold. First, we investigate empirically whether there is a link between pre-tax income inequality and redistribution through taxes. Second we hereby test whether there is a relationship between progressivity and the average tax level, the two building stones of the redistributive impact of taxes

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Household Incomes and Redistribution in the European Union: Quantifying the Equalising Properties of Taxes and Benefits

    Full text link
    The systems of direct taxes and cash benefits in the Member States of the European Union vary considerably in size and structure. We explore their direct impacts on cross-sectional income inequality (termed "redistributive effect" for the purpose of this paper) using EUROMOD, a tax-benefit microsimulation model for the European Union. This relies on harmonised household micro-data representative of each national population together with simulations of entitlements to cash benefits and liabilities for taxes and social contributions. It allows us to draw a more comprehensive – and comparable – picture of the combined effects of transfers and taxes than is usually possible. We decompose the redistributive effect of taxbenefit systems to assess and compare the effectiveness of individual policies at reducing income disparities. We derive results for the 15 "old" members of the European Union and present them for each country separately as well as for the EU-15 as a whole.Income inequality, Redistribution, Microsimulation, European Union

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

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