1,720,978 research outputs found
Natives; immigrants and social cohesion: intra-city analysis combining the hedonic approach and a framed field experiment
Enforcing cooperation in public goods games : Is one punisher enough?
We experimentally investigate a finitely repeated public goods game setting where, in each round, access to sanctioning power is exclusively awarded to one single player per group. We show that our central ‘Top Contributors as Punishers’ institution – a mechanism by which a player needs to be the highest contributor in her group in order to earn the right to sanction others – is extremely effective in raising cooperation and welfare due to turnover in the top contributor role and to top contributors’ willingness to substantially sanction others. Our findings yield implications for the design of mechanisms intended to foster cooperation in social dilemma environments
The Sources of Happiness: Evidence from the Investment Game
The present paper draws on data collected in an investment game plus a questionnaire to investigate whether happiness is affected by circumstances and/or outcomes of the game and to evaluate which motivations or preference structures (self-interested preferences, inequity aversion, altruism, warm glow, social-welfare preferences, trust or reciprocity) may explain such effect. Our result shows that the amount sent has significant and positive effect on trustors’ self-declared happiness. We interpret this finding by arguing that the happiness effect can be explained by the enactment of the “generating” (social welfare enhancing) power of the trustor’s decision. Characteristics of the investment game are such that the trustor has a value creating while the trustee only a redistributive power. This difference may explain why only trustors and not trustees are significantly and positively affected by their giving decision.Happiness, Investment Game, Social-welfare Preferences
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
Liberal egalitarian justice in the distribution of a common output. Experimental evidence and implications for effective institution design
We present an experiment that sets up a context of production of a common output obtained by using
production means that are randomly and unequally distributed. Before the production phase, subjects
must choose a distributive principle for the output division, under ignorance of the allocation of the production
means. Subsequently, they make a distributive choice fully aware of their luck and performance.
The aim of the experiment is to test, first, whether ordinary subjects in an impartial situation are capable
of converging on a fair principle of distribution – able of redressing the arbitrariness of the initial production
means allocation; and second, whether these same ordinary subjects are capable of actually following
that principle in a real distributive choice that excludes coercion, reputation effects and other forms of
social pressures. The main finding is that a distributive rule that redresses initial inequalities is both
accepted ex-ante and actually applied ex-post by most individuals. Our conclusion is relevant for the
issue of realism of normative theories of justice and the possibility of institution design aimed at implementing
distributive justice principles and policie
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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