1,721,058 research outputs found
Gender Stereotypes in the Family
No full textWe study whether and why parents have gender-stereotyped beliefs when they assess their child's skills. Exploiting systematic differences in parental beliefs about a child's skills and blindly graded standardized test scores, we find that parents overestimate boys' skills more so than girls' in mathematics (a male-stereotyped subject), whereas there are no gender differences for reading. Consistent with an information friction hypothesis, we find that the parental gender bias disappears for parents who are interviewed after receiving information on their child's test scores. We further show that the parental gender bias in detriment of girls contributes to explain the widening of the gender gap in mathematical skills later in childhood, supporting the hypothesis that exposure to gender biases negatively influence girls' ability to achieve their full potential
Social restrictions, leisure and well-being
No full textA wide-ranging public debate surrounds how pandemic lockdown measures differentially impacted individuals and which precise mechanisms – whether financial-, health-, or policy-driven – predominate in determining these effects. Using a nationally representative 24-hour diary survey covering the first two years of the pandemic, we explore potential mechanisms underlying changes in well-being. We exploit the variation in the stringency of the social restrictions implemented by the UK government during this period and use an event-study methodology to net out the impact of social restrictions from other pandemic effects. We find that well-being dropped by 47% (for men) and 71% (for women) of a standard deviation during the strictest lockdown and that it took longer to revert to pre-pandemic levels than previously estimated. This finding holds after we account for financial conditions and changes in local infection and death rates, suggesting that the time use–related changes driven by social restrictions dominate financial and health shocks in driving the overall well-being effects during the pandemic. Our detailed data on time allocation and individual preferences over the activities undertaken throughout the day suggest that the drop in well-being was primarily associated to a drastic reduction in time spent in leisure with non–household members or outside the home, a category with greater weight in the well-being of women
Supplemental nutrition assistance program and parents’ time investments in children
No full textAn emerging literature explores whether social policy programs have benefits to families and their children, above and beyond economic and human capital outcomes. We investigate whether the Supplemental Nutrition Assistance Program (SNAP), an anti-poverty program, is associated with the time that parents invest in their children. We assess the association between SNAP and parental time investments by leveraging the temporary expansion of SNAP benefits provided through the American Recovery and Reinvestment Act (ARRA) of 2009. Applying a difference-in-difference with Coarsened Exact Matching approach to data from the American Time Use Survey, we investigate whether increased SNAP benefit levels were associated with parental time investments in basic care, management, play, and teaching activities. We find that ARRA-induced increases in SNAP benefit levels were associated with a decreased probability of time spent on management activities and an increased probability of time spent on basic care among single parents. This suggests that SNAP benefit increases influence how parents allocate time to their children
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
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