1,720,964 research outputs found

    Beyond a reasonable doubt: the impact of jurors’ political affiliations on jury trials. Evidence from North Carolina

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    This article evaluates the impact of jurors’ political affiliations on trial verdicts in North Carolina. The research design relies on the day-to-day random variation in the composition of jury pools. The results indicate that if there is one additional independent juror in the pool, the percentage of guilty verdicts decreases by 2.93 percent and the conviction rate decreases by 2.85 percentage points. The impact of Democratic jurors is negative but not statistically significant. I also evaluate possible political discrimination in patterns of removing jurors. Democratic jurors are 3.7 percentage points more likely to be removed from a seated jury. The results for independent jurors are positive but not statistically significant. I implement heterogeneity checks and robustness checks. I also use potential jurors’ political affiliations as an instrument for the political affiliations of seated jurors to replicate the analysis and obtain similar results.</p

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    Populism is on the rise in Europe and America, and understanding its origins and evolution is becoming increasingly important. In this study, I investigate the effects of the exposure of corruption scandals on populist parties in Italy, exploiting a novel dataset based on electoral data at the municipal level. I find that local corruption exposure helps the populist parties in national elections and hurts the incumbents as the scandals are revealed

    Lady Justice: the impact of female judges on jury trial verdicts in North Carolina

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    This study evaluates the impact of judges’ gender on jury trial outcomes in the U.S. state of North Carolina. The identification strategy is based on conditional random assignment of judges to cases. Specifically, I take advantage of the compulsory judges’ rotation imposed by the North Carolina Constitution. The results indicate that the presence of a female judge increases of 9.64–13.50 percentage points the probability of having at least one guilty verdict from the jury and of 9.5%–13.45% increase in the proportion of guilty verdicts expressed by the jury. Additionally, I perform a series of robustness and heterogeneity checks. I also investigate the potential mechanisms driving the results, exploring the influence of the jury selection process and women’s attitudes toward the courts and sentencing

    Impatience and crime. Evidence from the NLSY97

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    We empirically test the relationship between crime and impatience at the individual level, exploiting data from the National Longitudinal Survey of Youth 1997 (NLSY97). Besides providing information on violent, property, and drug crimes, NLSY97 allows us to observe different behaviors, sharing impatience as a common latent factor. We use factor analysis to extract this common factor as a measure of impatience. Estimates from a Logit model suggest a positive association between impatience and crime. This relationship differs across violent, property, and drug crimes, but we do not find significant heterogeneities when comparing individuals according to gender, parental education, and ethnic groups. The main result is robust to different factor analysis specifications and controls for risk preferences. Our findings support policies aimed at influencing individual time preferences as an indirect way to combat crime

    Impatience and crime. Evidence from the NLSY97

    No full text
    We empirically test the relationship between crime and impatience at the individual level, exploiting data from the National Longitudinal Survey of Youth 1997 (NLSY97). Besides providing information on violent, property, and drug crimes, NLSY97 allows us to observe different behaviors, sharing impatience as a common latent factor. We use factor analysis to extract this common factor as a measure of impatience. Estimates from a Logit model suggest a positive association between impatience and crime. This relationship differs across violent, property, and drug crimes, but we do not find significant heterogeneities when comparing individuals according to gender, parental education, and ethnic groups. The main result is robust to different factor analysis specifications and controls for risk preferences. Our findings support policies aimed at influencing individual time preferences as an indirect way to combat crime.</p

    The words that keep people apart: official language and accountability

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    This paper examines how the distance between a country’s official language and the languages spoken by its citizens influences accountability. Two arguments support this relationship: first, the role of language as a tool for communication between elites and citizens; and second, its role in shaping cultural patterns thatunderpin social interactions. Using a dataset of 147 countries, we reveal a consistent negative correlation between linguistic distance and levels of accountability across all measures. Higher educational attainment can mitigate the negative impact of a foreign official language on accountability

    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

    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
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