1,720,958 research outputs found
Credit Rating Agencies: The Importance of Fundamentals in the Assessment of Sovereign Ratings
Full text linkThe aim of this paper is to investigate the significance of a set of macroeconomic variables
in the assessment of the sovereign ratings provided by the three main credit rating agencies in
different periods in time and for countries belonging to different categorizations. Ratings have
a great economic importance as they constitute the main drivers for attracting foreign investments
and can influence the dynamics of interest rates. By grouping the countries according
to levels of development and indebtedness, we provide the analysis of the weights attributed
to each one of the macroeconomic indicators included in the analysis. Furthermore, it is of
interest to examine how ratings are constructed and if they exhibit a historical coherence that
goes beyond the economic cycles. The analysis rests on an unbalanced panel of 139 countries
in the period 1975-2010. In order to provide an answer to ratings’ historical coherence, we
selected two sub-periods: 1975-1996 and from 1997 onwards. Static estimates findings show
that per capita GNI, inflation, unemployment, fiscal balance, government debt and default
history significantly affect ratings, while GNI growth and current account balance are less relevant. Furthermore, Granger causality results underline that a one-way causality runs from average ratings to economic growth
A New Approach to the Scoreboard
No full textPurpose – The purpose of this paper is to investigate the information content of the variables that can
help detecting external and internal imbalances in an early stage. The starting point is the Scoreboard,
where nine indicators are chosen in order to increase macroeconomic surveillance of all member states.
Design/methodology/approach – This paper provides an overview of the variables that could
be informative for imbalances by focusing on EU-27 countries over the period 1960-2010. The number
of chosen variables is 28, and they are aggregated in six macro-areas. Therefore, once an imbalance
is observed in any of those areas, it is possible to detect in a simple way which specific variable
is determining such outcome.
Findings – In general, this approach provides reliable signal to the policy-makers about the indicators
that can drive imbalances within the area, shedding light on the relationship among the variables
included in the analysis, too.
Research limitations/implications – In fact, the empirical results underline some well-known
critical issue for several countries, and is largely in line with results obtained in a variety of EC and
OECD studies.
Originality/value – The main added value of the approach adopted in this paper is the introduction
of more variables than those initially proposed by the European Commission in the construction of the
Scoreboard. This provides more information about the macroeconomic situation in each country,
preserving, however, the simplicity of the analysis as the variables are aggregated by homogeneous areas
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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