1,720,966 research outputs found

    Informal Employment Relationships and the Labor Market: Is there Segmentation in Ukraine?

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    One of the most important factors that determine individuals’ quality of life and wellbeing is their position in the labor market and the type of jobs that they hold. When workers are rationed out of the formal segment of the labor market against their will, i.e., the labor market is segmented, their quality of life is limited, and their wellbeing is reduced. When they can freely choose between a formal or informal employment relationship, i.e., the labor market is integrated, their wellbeing can reach high levels even in the presence of informal employment. We, therefore, test whether the Ukrainian labor market is segmented along the formal-informal divide, slicing the data by gender and age. The analysis that we perform consist in the analysis of short-term and medium-term transitions between five employment states, unemployment and inactivity. We also analyze wage gaps of mean hourly earnings and across the entire hourly earnings distribution, controlling for time-invariant unobserved heterogeneity. According to our results segmentation is present for dependent employees: for a large part of informal employees informal employment is used as a waiting stage to enter formal salaried employment and is not voluntarily chosen. As far as self-employment is concerned the evidence is mixed regarding in the Ukrainian labor market. This heterogeneity in outcomes implies that not all informal work is associated with a low quality of life and reduced wellbeing in post-transition economies

    Worker Displacement in Russia and Ukraine : A Comparative Analysis Using Micro Data

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    Using unique data from a supplement to the RLMS on displaced workers in Russia and from the Ukrainian Longitudinal Monitoring Survey (ULMS) we analyze and provide the first solid evidence on displacement in Russia and Ukraine in a period of growth. Our estimates establish that quits dominate separations but that displacement rates are clearly not negligible amounting to between 2.5 and 3 percent of employment in Russia and between 2 and 5 percent in Ukraine. We also show that displacements are not random. Results that are valid across both countries demonstrate that unskilled and less educated workers are more affected as are workers in the agricultural sector. In countries like Russia and Ukraine where unemployment benefits are not generous or non-existent for the average worker long spells of non-employment can impose large monetary costs on workers. Presenting cumulative return rates for job movers we point to these costs by highlighting the fact that there is a very sizable privileged group of displaced workers who finds a new job within a very short time while the majority has difficulty in finding new employment. It is this group (larger in Ukraine than in Russia), which is not so rapidly absorbed by the labor market, that should be the target of social policy intervention by the Russian and Ukrainian governments

    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

    Gender wage gap dynamics in a changing Ukraine

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    The period 2003-2007 was a period of economic and political changes for Ukraine. In 2005, following the Orange Revolution, the new government engaged in a series of economic reforms, among which was strengthening the legislation aimed at encouraging gender equality in the labor market. Using data from the Ukrainian Longitudinal Monitoring Survey (ULMS) I explore the impact of these economic and political changes on the gender wage gap. Policies for gender equality seem to be responsible for at least part of the reduction of the wage gap among the workers of the public sector, both through the reduction in the differences between the remuneration of observable characteristics for men and women and through the reduction in horizontal and vertical segregation. On the other hand, the impact of these policies among workers of the private sector (and especially among the informally employed) seems much smaller, especially as far as the impact on horizontal and vertical segregation is concerned. This study utilizes the ULMS data set, a project initiated within the IZA-program 'Labor Markets in Emerging and Transition Economies'. The project is financially supported by a consortium led by IZA, Bonn. The other permanent members of the consortium are CERT, Heriot-Watt University Edinburgh, EERC-Ukraine and RWI-Essen. Any opinions expressed here are those of the author and not those of ISET, University of Bologna or IZA institute

    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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