1,721,613 research outputs found

    Corruption and Hierarchy: A Replication of Studies 1c and 6 of Fath & Kay 2018

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    This project is a group dissertation project, supervised by Dr Thomas Rhys Evans, exploring the link between organisational hierarchy and perceptions of corruption. The project is a close replication of studies 1c and 6 by Fath and Kay (2018)

    Three essays in health economics

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    This thesis presents three essays on policy-related topics in Health Economics. The specific policy topics this thesis explores are health insurance and inequality, spillovers or peer effects of health behaviours, and the impact of human resources in healthcare. The first essay in this thesis, I analyse the redistributive effects of a publicly financed healthcare expansion. Using data from the Oregon Health Insurance Experiment (OHIE) we analyse the redistributive impacts of a publicly financed health insurance expansion. We use a residual inclusion methodology combined with quantile regression to estimate the heterogeneity in the effects of health insurance across the income distribution. We find that there are indeed redistributive impacts, even in the small income window we have access to, which would otherwise be concealed in a linear regression. Those at the lower end of the income distribution tend to have a substantial increase in their disposable income as a result of health insurance coverage, while those at the upper end see no change in income. We additionally estimate that increased employment in at risk households is driving this effect. In next essay I analyse the spillover effects of a diabetes diagnosis. Diabetes is a unique condition, in that a positive change in lifestyle and behaviour, is both the first line treatment and the recommended method of preventing the disease. It is theoretically possible that by jointly partaking in diabetes treatment, partners of people with diabetes would substantially benefit from their partners’ diabetes diagnosis. Using blood data from the Health Survey for England, and a fuzzy regression kink design, we causally estimate the effect of a diabetes diagnosis on health-related behaviours of the individual with diabetes, as well as, their partners. We find that a diagnosis of diabetes results in a significant increase in the probability of exercising and a decrease in the probability of currently being a smoker both for the diabetic individual and their partner. However, we find limited evidence of other lifestyle changes. From a public health perspective, our results are especially important for the evaluation of diabetes related policies, while positive spillovers, particularly within households, should be taken into account in the evaluation process. In the final essay of this thesis, I analyse the impact of primary care physicians on health outcomes. Worldwide there is a growing concern that there are insufficient primary care physicians to meet demand. There is, however, mixed evidence on how effective primary care is in influencing population health outcomes. I estimate the effect of an increasing in primary care physicians using the Programa Mais M´edicos. Although previous studies have used the Programa Mais M´edicos to analyse the impact of a primary care physician supply, I exploit the variation in physicians allocated to each municipality and use only treated municipalities to identify the impact of primary care physicians on hospitalisations and mortality. I estimate the impact of primary care physicians using a generalised synthetic control estimator and find limited evidence of primary care physicians impacting health outcomes. These results question the notion that primary care physicians are a cost-effective means of improving population health

    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

    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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