1,720,980 research outputs found
Portfolio choice: Evidence from new-borns
This paper analyzes the role of newborn gender in households’ investment decisions. The results indicate that newborn gender is a significant predictor of both the reallocation of financial wealth across different types of financial assets and households’ investment diversification. Parenting a new baby boy is associated with a higher reallocation of wealth towards cash while the share of financial wealth allocated to risky assets decreases. A new baby boy also significantly reduces the magnitude of portfolio diversification. We find no evidence that the relationship between newborn gender and investment allocation is driven by third variables that simultaneously affect gender and financial decisions. The relationship between newborn gender and the financial decisions is particularly relevant to disentangle unconscious gender bias in households' investment decisions
Women in Science: Where We Stand?—The WHEN Protocol
Gender disparity in scientific fields, identified with the acronym STEM, is a
complex issue whose multiple causes have distant origins in time. In the early development
of scientific disciplines, women were often denied access to education and professional
opportunities, and their contributions to the scientific fields were frequently not recognized.
These trends of underrepresentation gave rise to the male-dominated culture in STEM
that persists today, as young women often lack female role models and are less likely to
pursue careers in STEM, perpetuating the gender gap and limiting women’s influence
and visibility in these fields. Here we present the protocol of the WHEN project, which
aims to explore the perceptions that high-school students have of scientific careers and
of the women in science, investigating whether gender stereotypes persist and can affect
decisions about future paths. Through questionnaires, this study investigates the impact of
socio-economic variables on the persistence of gender stereotypes and, most importantly,
explores the potential for reducing them through direct engagement with female STEM
role models
Going Beyond Counting First Authors in Author Co-citation Analysis
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
“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
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
Dispelling the Myths Behind First-author Citation Counts
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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