1,720,970 research outputs found

    Intergenerational mobility and schooling decisions in Italy and Germany

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    Intergenerational mobility in income and education is affected by the influence of parents on children's school choices. Our focus is on the role played by different school systems in reducing or magnifying the impact of parents on children's school choices and therefore on intergenerational mobility in general. We compare two apparently similar educational systems, Italy and Germany, to see how the common feature of separate tracks at Secondary School level may produce different impacts on children choices. Using data from a cross-country survey (PISA 2003), we study the impact of parental education on track choice, showing that the greater flexibility of the Italian system (where parents are free to choose the type of track) translates into greater dependence from parental background. These effects are reinforced when moving to post-secondary education, where the aspiration to go to college is affected not only by the school type but also (in the case of Italy only) by parental education. We then move to country-specific data sets (ISTAT 2001 for Italy and GSOEP 2001 and 2002 for Germany) to study the impact of family background on post-secondary school choices: we find this impact is greatly reduced when we control for secondary school tracks. Overall, we estimate large asymmetries by gender, with women's behavior more independent from family backgrounds than men's behavio

    Intergenerational mobility and schooling decisions in Italy and Germany

    No full text
    Intergenerational mobility in income and education is affected by the influence of parents on children’s school choices. Our focus is on the role played by different school systems in reducing or magnifying the impact of parents on children’s school choices and therefore on intergenerational mobility in general. We compare two apparently similar educational systems, Italy and Germany, to see how the common feature of separate tracks at Secondary School level may produce different impacts on children choices. Using data from a cross-country survey (PISA 2003), we study the impact of parental education on track choice, showing that the greater flexibility of the Italian system (where parents are free to choose the type of track) translates into greater dependence from parental background. These effects are reinforced when moving to post-secondary education, where the aspiration to go to college is affected not only by the school type but also (in the case of Italy only) by parental education. We then move to country-specific data sets (ISTAT 2001 for Italy and GSOEP 2001 and 2002 for Germany) to study the impact of family background on post-secondary school choices: we find this impact is greatly reduced when we control for secondary school tracks. Overall, we estimate large asymmetries by gender, with women’s behavior more independent from family backgrounds than men’s behavio

    Sources of earnings inequality : Estimates from an on-the-job search model of the U.S. labor market

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    Since the early 1980s the labor market in the United States has seen a substantial increase in earnings dispersion. We study the issue by developing an on-the-job search model of the US labor market that allows for wage and employment mobility as a result of optimal individual behavior. We estimate its structural parameters on PSID data at different points in time to clarify the sources of the evolution of earnings inequality and instability between 1987 and 1996. This procedure allows to: compute lifetime measure of inequality on top of the usual cross-sectional measure of inequality and provide counterfactual experiments that evaluate the contribution of different parameters to changes over time by taking into account some equilibrium effects. We find that the increase in lifetime inequality and in cross-sectional inequality have been generated by different sources and that these sources are different by skills: changes in the wage offer distribution are the main determinant of the increase in inequality for skilled workers while both mobility changes and wage offer distribution changes are needed to explain changes for the unskilled

    Sources of earnings instability: estimates from an on-the-job search model of the U.S. labor market

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    Many contributions suggest that earnings instability has increased during the 1980s and 1990s. This paper develops and estimates an on-the-job search model of the labor market to study the contribution of wage inequality and job mobility in explaining earnings instability. To study the evolution over time of these different components we extract two estimation samples (late 1980s and late1990s) from the Calendar Section of the PSID. We find that the main differences in the structure of the labor market between the two periods are in the job-to-job mobility and in the variance of the wage offer distributions: they both increase in the late 1990s. By generating counterfactual experiments, we also show that they both significantly contribute to the increase in earnings instability even if it is only their joint effect that generates what we observe in the data. Finally, we show that significant composition effects are at work since the behavior of skilled workers and unskilled workers are very different with respect to the above-mentioned labor market dynamics

    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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