1,721,025 research outputs found
Impact of Mergers on the Degree of Competition: Application to the Banking Industry
No full textThis paper analyses the relation between competition and concentration in a monopolistic competition model where banks compete in branching and interest rates and market structure is endogenous. The model is applied on individual bank data in Italy and France using a maximum likelihood approach to derive a measure of the degree of competition in each local market. We propose an empirical test to evaluate ex-ante the impact of horizontal mergers on this measure. Depending on the pre-merger market structure and geographic distribution of branches, we find either cases where the merger is pro-competitive or anti-competitive. It proves its relevance as a tool for competition policy analysis. In addition, thanks to its theoretical foundation, it encompasses more information than traditional measures of competition while it is parsimonious in terms of data requirements
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
The impact of mergers on the degree of competition in the banking industry
Full text linkThis paper analyses the relation between competition and concentration in the banking sector. The empirical answer is given by testing a monopolistic competition model of bank branching behaviour on individual bank data at county level (départements and provinces) in France and Italy. We propose a measure of the degree of competiveness in each local market that is function also of market structure indicators. We then use the econometric model to evaluate the impact of horizontal mergers among incumbent banks on competition and discuss when, depending on the pre-merger structure of the market and geographic distribution of branches, the merger is anti-competitive. The paper has implications for competition policy as it suggests an applied tool to evaluate the potential anti-competitive impact of mergers
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
[The general intelligence factor: psychometric study. Approach to the problem of mental deterioration].
No full textThe authors have measured the correlation coefficient between W.B. and P.M. scores in 80 normal subjects, comparable for age and school. A mutual relationship between the two tests, connected by the hypothetical general intelligence factor "g", was really demonstrated. Correlation coefficient was positive and significative between W.B. total scores, excepted verbal scores, and P.M., the highest one between subtests 8, 9 and P.M. The intra-tests correlation between W.B. total scores and each subtest score was also evaluated: between sub-tests 8, 9 and W.B. total scores the highest one again. A new qualitative interpretation of mental deterioration in clinical neurology and psychiatry is suggested on the base of these results
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
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