1,721,027 research outputs found

    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

    Underreporting of earnings and the minimum wage spike

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    This paper contributes to the policy debate on minimum wage by highlighting its role in enforcing compliance with fiscal rules in economies where underreporting of earnings is widespread. First, I propose a simple model exploring the interaction between the minimum wage and underreporting of earnings. Then, I provide supportive evidence by documenting a positive correlation within European labour markets between the proportion of full-time employees with earnings on the minimum wage and the extent of underreporting of earnings in the economy. The analysis presented in this paper suggests that a high spike in the wage distribution at the minimum wage level is, in some contexts, a fiscal issue, more than a labour market issue, and therefore it would be incorrect to consider a high spike as an indication of a binding minimum wage. Also, differentiating the minimum wage along dimensions related to earnings (e.g. education, sector, or occupation) makes sense from an enforcement perspective

    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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    Minimum Wage and Tax Evasion: Theory and Evidence

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    The paper investigates the role of the minimum wage in a competi- tive economy in which there is underreporting of earnings by employed labour. The minimum wage induces higher compliance by some low- productivity workers and transforms a nominally neutral ?scal system into a regressive one. A spike in the wage distribution at the mini- mum wage level appears and a positive correlation between the size of the spike and the size of the informal economy is predicted and documented using cross-country data for Europe. A further result is that employees whose o¢ cially declared earnings appear to be boosted by a minimum wage hike actually experience a decline in their true income. This prediction ?nds support in an empirical test using the massive increase in the minimum wage that took place in Hungary in 2001 as a quasi-natural experiment.MinimumWage, Tax Evasion,Wage Distribution, Hungary

    Too Low to Be True: the Use of Minimum Thresholds to Fight Tax Evasion

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    The enforcement of compliance with tax regulation is a complex task. This is particularly the case when the administrative capacity of the tax authority is low, as it often happens in developing and transition countries. This paper draws on some international experiences in fighting tax evasion to identify tools that can be used to reduce underreporting by employed labor, small and medium enterprises, self-employed, and professionals. In particular, I analyze the use of minimum thresholds, where taxpayers cannot declare an income below a certain amount or, alternatively, are subject to a higher probability of an audit if they decide to do so. First, I model the impact of minimum thresholds by explicitly taking into account low administrative capacity. The model shows that introducing a threshold creates a spike and a "missing middle" in the distribution of declared incomes and highlights under which conditions a threshold is likely to increase net revenues. I then analyze two policies used to fight underreporting: the Italian "Business Sector Analysis" and the Bulgarian "Minimum Social Insurance Thresholds". The Italian tax authority infers "normal" revenues and compensations by small and medium enterprises, self-employed, and professionals from indicators that are difficult to conceal or manipulate. In case the taxpayer decides to declare less than the "normal" level, the probability of an audit increases and the burden of proof is reversed. Bulgaria has established a system of differentiated minimum social insurance thresholds depending on sector and profession, so that social security contributions cannot be lower than the ones implied by the threshold. To conclude, I appraise the applicability of these two systems in other countries
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