1,720,987 research outputs found

    Shadow rates and spillovers across the Eurozone: a spatial dynamic panel model

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    In this paper, we focus on the effect of spillovers in monetary policy in the period 2004–2017. Firstly, we calculate shadow rates that measure the monetary stances for each country analysed. Then, by using the approach of spatial dynamic panel, we account for the presence of potential spillovers in the Eurozone, both in the long and short run, while controlling for the main channels regulating the monetary stances. Results confirm that monetary policy is largely affected by the presence of spillovers due to proximity in the business cycles and this effect should be considered to manage the effects of monetary policy in different European economies

    Structural differences in the eurozone: Measuring financial stability by fci

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    In this paper, we apply two novel methodological approaches, Tucker three-way principal component analysis and locally weighted principal component analysis, to construct financial conditions index for Eurozone countries. The aim is to point out how real and financial macroeconomic variables affect the credit channel and which variables are more relevant in each occasion, highlighting structural differences within the Eurozone. The results suggest that the Eurozone is involved into a low easing pattern, which is difficult to reverse and affects considerably the financial conditions, surrounding the hypothesis that this pattern has been worsened by structural differences between the European Monetary Union (EMU) countries. Empirical evidence shows that European Central Bank (ECB) policy has managed to cool financial tensions and has made financial conditions homogeneous, but it has not been able to restore them at a precrisis level

    Sustainable energy transitions and social inequalities in energy access: A relational comparison of capabilities in three European countries

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    The influences of energy transitions on social inequity are multidimensional in their attributes and connections. For adequate accountability of their social correlates, policies aiming to implement a transition towards sustainable energy supply and demand have also to be evaluated regarding their influences on social inequalities, namely in terms of energy access and consumption. A capability-based and relational approach is used to monitor the social correlates of the governance of energy transitions. This accountability model is applied to three different European countries: Austria, Belgium, and Bulgaria. They have different characteristics in terms of levels and inequalities regarding material deprivation and energy access as well as patterns of energy transitions. The proposition here is that the capability approach could be usefully adopted to evaluate future implementation of energy transitions and to assess how they could influence inequalities in various aspects of citizen’s daily life. In such a framework, the focus is on potential links between energy transitions and energy inequalities that can be channelled by their respective relations to the capabilities. Data used to quantify the inequalities regarding various capabilities are from the Generations and Gender Programme (GGP)

    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

    Pandemic Data Quality Modelling: A Bayesian Approach = Modellazione della qualit`a dei dati pandemici: un approccio bayesiano

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    When dealing with pandemics like COVID-19, it is crucial for policymakers to constantly monitor the emergency. Correct data reporting is a hard task during pandemics, and errors affect the overall mortality, resulting in excess deaths in official statistics. In this work, we provide tools for evaluating the quality of pandemic mortality data. We accomplish this through a spatio-temporal Bayesian approach accounting for the bias implicitly contained in the data
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