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    Citation Success: Evidence from Economic History Journal Publications

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    This study analyses determinants of citation success among authors publishing in economic history journals. Bibliometric features, like article length and number of authors, are positively correlated with the citation rate up to a certain point. Remarkably, publishing in top-ranked journals hardly affects citations. In regard to author-specific characteristics, male authors, full professors and authors working economics or history departments, and authors employed in Anglo-Saxon countries, are more likely to get cited than others. As a ‘shortcut’ to citation success, we find that research diffusion, measured by number of presentations and people mentioned in acknowledgement, boosts the citation rate.bibliometrics; citation analysis; citation success; economic history; scientometrics; Poisson regression

    WEast Workshop, Prague 1-2 July 2016

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    Jacob Weisdorf  is pleased to announce that the Eastern European Economic History Initiative is now accepting proposals for next year's WEast Workshop, which will take place in Prague 1-2 July 2016. You will find the Call for Papers below. Feel free to distribute it among your colleagues. You can find more information about our workshop and activities on weast.info. On behalf of the organisers of the WEast Initiative, Jacob Weisdorf Professor, PhD Department of Business and Economics Universi..

    The Trade-off between Fertility and Education: Evidence from before the Demographic Transition

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    The trade-off between child quantity and education is a crucial ingredient of unified growth models that explain the transition from Malthusian stagnation to modern growth. We present first evidence that such a trade-off indeed existed before the demographic transition, exploiting a unique census-based dataset of 334 Prussian counties in 1849. Estimating two separate instrumental-variable models that instrument education by landownership inequality and distance to Wittenberg and fertility by previous-generation fertility and sex-imbalance ratio, we find that causation between fertility and education runs both ways. Furthermore, education in 1849 predicts the fertility transition in 1880-1905.schooling, fertility transition, unified growth theory, 19th-century Prussia

    The Trade-off between Fertility and Education: Evidence from before the Demographic Transition

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    The trade-off between child quantity and education is a crucial ingredient of unified growth models that explain the transition from Malthusian stagnation to modern growth. We present first evidence that such a trade-off indeed existed before the demographic transition, exploiting a unique census-based dataset of 334 Prussian counties in 1849. Estimating two separate instrumental-variable models that instrument education by landownership inequality and distance to Wittenberg and fertility by previous-generation fertility and sex-imbalance ratio, we find that causation between fertility and education runs both ways. Furthermore, education in 1849 predicts the fertility transition in 1880-1905.schooling, fertility transition, unified growth theory, 19th-century Prussia

    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

    Author Index

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