1,720,996 research outputs found
IDENTIFICATION OF SOURCE TERMS IN NONLINEAR CONVECTION DIFFUSION PHENOMENA BY SINC COLLOCATION-INTERPOLATION METHODS
Time for Blood: The Effect of Paid Leave Legislation on Altruistic Behavior
Organizations and public agencies that promote pro-social activities constantly struggle to attract and encourage more contributions. In this article, we study the effects of an explicit reward in the context of blood donation. Specifically, we analyze the effects of a legislative provision that grants a one-day paid leave of absence to blood donors who are employees in Italy, using a unique data set with the complete donation histories of the blood donors in an Italian town. The across-donor variation in employment status, and within-donor changes over time are the sources of variation that we employ to study whether the paid-day-off incentive affects the frequency of their donations. Our analysis indicates that the day-off privilege leads donors who are employees to make, on average, one extra donation per year, which represents an increase of around 40%. We also find that the provision has persistent effects, with donors maintaining higher donation frequencies even when they cease to be eligible for the incentive. We discuss the implications of our findings for policies aimed at reducing the shortages in the supply of blood and, more generally, for organizations that try to motivate voluntary contributors
Taratura di un sistema di misura 3D basato sulla triangolazione di luce strutturata per la progettazione ed il controllo di pezzi meccanici
Gender Differences in Earnings and Leadership: Recent Evidence on Causes and Consequences
Women's labour market outcomes have improved substantially in the past decades, both in absolute terms and relative to men, in the United States and Western European countries as well as in several other countries around the world. Specifically, gender gaps have narrowed considerably (and in several cases disappeared) in human capital accumulation (educational attainment), labour force participation, hours of work and occupation. Claudia Goldin referred to this phenomenon as a 'grand gender convergence' (Goldin 2014). Yet, gender gaps in earnings and leadership still persist. Women earn substantially less than men and are under-represented in leadership positions in firms and organisations more broadly. The presence and persistence of gender gaps in earnings and leadership is cause for great concern for both reasons of social justice and efficiency, to the extent that the gender imbalances reflect a sub-optimal allocation of human capital in firms and in the economy. In this article, we focus on the causes and consequences of female-male gaps in earnings and representation at the top of organisations. Gender gaps in wages and leadership are one of the most researched topics in labour economics and beyond. Rather than attempting to summarise the vast literature on these subjects, we present a selective discussion of recent empirical work in an attempt to highlight recent findings on causes and consequences of gender gaps in the labour market and to discuss the main knowledge gaps and what we believe are some of the most promising areas for future research.1 Most of the papers we focus on refer to the United States, but the trends and patterns described are likely to apply more broadly
Expectations, reference points, and compliance with Covid-19 social distancing measures
We study the behavioral impact of announcements about the duration of a policy and their relationship with people's expectations in the context of the COVID-19 lockdowns. We surveyed representative samples of Italian residents at three moments of the first wave of the pandemic to test how intentions to comply with social-isolation measures depend on the duration of their possible extension. Individuals were more likely to reduce, and less likely to increase, their compliance effort if the hypothetical extension was longer than they expected, whereas positive surprises had a lesser impact. The behavioral response to the (mis)match between expected versus hypothesized extensions is consistent with expectations acting as reference points and can help explain the increase in observed physical proximity in Italy following lockdown extension announcements. Our findings suggest that public authorities should consider citizens’ expectations when announcing policy changes
Why Give Away your Wealth? An Analysis of the Billionaires' View
We explore what motivates the philanthropic activity of extremely wealthy individuals and families. We focus on a recent large-scale philanthropic initiative by billionaires, the Giving Pledge, a commitment to donating half or more of one's wealth. We perform two pieces of analysis: first, we investigate what personal characteristics of billionaires are associated with becoming a pledger. Second, we undertake a textual analysis of the pledgers' letters describing their philanthropic outlook and classify their motivation into ten categories. We then correlate these motivational categories with various personal characteristics of the pledgers. The main insights obtained from our analysis is that pledgers are more likely to be self-made billionaires, and that their philanthropy is impact-driven
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
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