1,721,554 research outputs found
The Great Recession and the distribution of household income
The so-called Great Recession that followed the global financial crisis at the end of 2007 was the largest economic downturn since the 1930s for most rich countries. To what extent were household incomes affected by this event, and how did the effects differ across countries? This is the first cross-national study of the impact of the Great Recession on the distribution of household incomes. Looking at real income levels, poverty rates, and income inequality, it focusses on the period 2007-9, but also considers longer-term impacts. Three vital contributions are made. First, the book reviews lessons from the past about the relationships between macroeconomic change and the household income distribution. Second, it considers the experience of 21 rich OECD member countries drawing on a mixture of national accounts, and labour force and household survey data. Third, the book presents case-study evidence for six countries: Germany, Ireland, Italy, Sweden, the UK, and the USA. The book shows that, between 2007 and 2009, government support through the tax and benefit system provided a cushion against the downturn, and household income distributions did not change much. But, after 2009, there is likely to be much greater change in incomes as a result of the fiscal consolidation measures that are being put into place to address the structural deficits accompanying the recession. The book's main policy lesson is that stabilisation of the household income distribution in the face of macroeconomic turbulence is an achievable policy goal, at least in the short-term
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
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
Social indicators
Also available via the InternetAvailable from British Library Document Supply Centre-DSC:7752.135(02/22) / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo
The Influence of Intergenerational Transfers on Wealth Inequality in Rich Countries
This paper uses survey data from Germany, Spain, France, Italy, Great Britain and the United States to analyze how inheritances impact wealth inequality in a range of rich countries. Adopting an influence function regression approach, the paper calculates the counterfactual effects of small increases in the share of recipients of different-sized wealth transfers in each country. Results suggest that while a marginal increase in inheritance recipients generally contracts wealth inequality measures—confirming a common finding in the literature that inter-generational transfers tend to reduce relative wealth inequality—an increase in recipients of ‘large’ inheritances has the opposite effect. We determine what ‘large’ means in this context by point-estimating the thresholds above which transfers become disequalising. We find that transfers above the ninety-fifth percentile of the national transfer distribution are generally associated with an increasing effect on wealth inequality. Such thresholds are then put in perspective against the inheritance tax schedules in place in the six countries analyzed. No unique pattern emerges. While the thresholds are very close to tax exemption thresholds in Britain and Germany, they are somewhat higher in France and Spain and they are much lower in Italy and the United States
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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