1,721,021 research outputs found

    Does The Financial Situation affect Cheating Behavior? An Investigation through Financial Literacy

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    Using Dutch data from the LISS Panel, we study the effect of financial situation, love of money and general trust on multiple dimensions of individuals’ dishonesty, namely benefits fraud, tax evasion, fare evasion and stealing property. We use two indices of financial literacy as instruments to deal with the potential endogeneity of financial situation. The financial situation significantly affects the propensity to engage in cheating related to shadow-economy activities; conversely, small-scale dishonesty is mainly influenced by personal characteristics such as attitudes towards risk aversion. We show that love of money might eventually cloud individuals’ ethical behavior, as it increases the acceptability of immoral conduct. As expected, being trusting negatively affects the propensity to cheat, probably because it enhances individuals’ social cooperation. Our results are useful to deepen our knowledge about the factors affecting cheating behavior and, consequently, think of ways to limit it

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

    Do Danes and Italians Rate Life Satisfaction in the Same Way? Using Vignettes to Correct for Individual-Specific Scale Biases

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    Self-reported life satisfaction is highly heterogeneous across similar countries. We show that this phenomenon can be largely explained by the fact that individuals adopt different scales and benchmarks in evaluating themselves. Using a cross sectional dataset on individuals aged 50 and over in ten European countries, we compare estimates from an Ordered Probit in which life satisfaction scales are invariant across respondents with those from a Hopit model in which vignettes are used to correct for individual-specific scale biases. We find that variations in response scales explain a large part of the differences found in raw data. Moreover, the cross-country ranking in life satisfaction dramatically depends on scale biases

    Variations on the Author

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    “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

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    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

    The dynamics of home-ownership among the 50+ in Europe

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    We use life history data covering households in thirteen European countries to analyse residential moves past age 50. We observe four types of moves: renting to owning, owning to renting, trading up or trading down for home-owners. We find that in the younger group (aged 50-64) trading up and purchase decisions prevail; in the older group (65+), trading down and selling are more common. Overall, moves are rare, particularly in countries characterized by high transaction costs. Most moves are driven by changes in household composition (divorce, widowhood, nest-leaving by children), but economic factors play a role: low income households who are house-rich and cash-poor are more likely to sell their home late in life

    Dispelling the Myths Behind First-author Citation Counts

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    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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    Unpacking the determinants of life satisfaction: A survey experiment

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    We present results of a survey experiment aimed at assessing context effects on reporting life satisfaction, exerted by raising awareness of fundamental life domains before eliciting overall life satisfaction, through questionnaire manipulations. Psychologists refer to similar context effects, generated by providing more details about the object of a subsequent evaluation, as ‘unpacking effects’. The longitudinal structure of our experimental design allows us to assess the effects of the questionnaire manipulation both between and within subject. In our sample of university students, asking subjects to report satisfaction with life domains before reporting overall satisfaction with life generates a robust unpacking effect, as it shifts upwards the subsequent mean overall life satisfaction evaluations. In addition, raising awareness about life domains significantly increases reliability and validity of self-reported life satisfaction, by reducing the dispersion of responses and increasing the association between life satisfaction and life domain evaluations. We also detect heterogeneous effects across subgroups of our sample—such as people with children or in bad health—and discuss implications of these findings for research on life satisfaction
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