1,720,973 research outputs found

    Inequality, Financialisation and Credit Booms: a Model of Two Crises

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    We develop a macroeconomic model with an agent-based household sector and a stock-flow consistent structure, in order to analyse the impact of rising income inequal- ity on the likelihood of a debt crisis for different institutional settings. In particular, we study how economic crises emerge in the presence of different credit conditions and policy reactions to rising income disparities. Our simulations show the relevance of the degree of financialisation of an economy. In fact, when inequality grows, a Scylla and Charybdis kind of dilemma seems to arise: on the one hand, low credit availability implies a drop in aggregate demand and output; on the other hand, a higher willingness to lend and lower perceptions of system risk result in greater instability and a debt-driven boom and bust cycle. The model allows to replicate the credit-led consumption booms that paved the way for both the crisis of 1929 and the recent financial crisis. In addition, our paper yields a new insight on the appropriate policy reaction: tackling inequality by means of a more progressive tax system compensates for the rise in income disparities thereby stabilising the economy. This is a better solution compared to a more proactive fiscal policy which, instead, only leads to a larger duration of the boom and bust cycle

    Impact of rainfall pattern on cereal market and food security in Sudan: Stochastic approach and CGE model

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    The paper aims at analysing the impact of the likely change in rainfall on food availability and access to food in Sudan. The empirical investigation is based on an integrated approach consisting of a stochastic method and CGE model. The former, related to the Monte Carlo analysis, provides the likely changes in rainfall patterns and their probability of occurrence based on historical data. These results are at the basis of the scenarios simulated in a standard CGE model augmented with a stochastic component. Achievements underline the negative impact on the two dimensions of food security taken into consideration, mainly due to a reduction in cereal supply, a marked cereal inflation pressure and income contraction; the greater negative effect on the poorest households; and a deterioration of the economic performance of the country. In this context, the paper stresses a strong interconnection among climate change and variability, poverty and food insecurity and thus the need for an integrated policy-making approach

    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

    Policy experiments in an agent-based model with credit networks

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    In this paper the authors build upon Assenza et al. (Credit networks in the macroeconomics from the bottom-up model, 2015), which include firm-bank and bank-bank networks in the original macroeconomic model in Macroeconomics from the bottom-up (Delli Gatti et al., Macroeconomics from the Bottom-up, 2011). In particular, they extend that framework with the inclusion of a public sector and other modifications in order to carry out different policy experiments. More specifically, the authors test the implementation of a monetary policy by means of a standard Taylor rule, an unconventional monetary policy (i.e. cash in hands) and a set of macroprudential regulations. They explore the properties of the model for such different scenarios. Their results shed some light on the effectiveness of monetary and macroprudential policies in an economy with an interbank market during times of crises

    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

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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