309,130 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

    Educational policies in a long-run perspective

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    In this paper we study the effects of educational reforms on school attainment. We construct a dataset of relevant reforms that occurred at the national level over the last century, and match individual information from 24 European countries to the most likely set-up faced when individual educational choices were undertaken. Our identification strategy relies on temporal and geographical variations in the institutional arrangements, controlling for time/country fixed effects, as well as for country specific time trend. By characterizing each group of reforms for their impact on mean years of education, educational inequality and intergenerational persistence, we show an ideal policy menu which has been available to policymakers. We distinguish between groups of policies that are either 'inclusive' or 'selective', depending on their diminishing or augmenting impact on inequality and persistence. Finally, we correlate these reform measures to political coalitions prevailing in parliament, finding support for the idea that left-wing parties support reforms that are inclusive, while right-wing parties prefer selective ones

    Trade openness and the demand for skills: evidence from Turkish microdata

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    In this paper we report evidence on the relationship between trade openness, technology adoption and relative demand for skilled labour in the Turkish manufacturing sector, using firm-level data over the period 1980-2001. In a dynamic panel data setting using a unique database of 17,462 firms, we estimate an augmented cost share equation whereby the wage bill share of skilled workers in a given firm is related to international exposure and technology adoption. Overall, results suggest that trade openness and technology play a key role in shifting the demand for labour towards more skilled workers within each firm. Technology-related variables (domestic R&D expenditures and technological transfer from abroad) are positive and significantly related to skill upgrading, as are the involvement of foreign capital in a firm's ownership and the propensity to export. Moreover, firms belonging to those sectors that most raised their imported inputs also experienced a higher increase in the labour cost share of skilled workers. This finding is consistent with the idea that imports by a middle-income country imply a transfer of new technologies that are more skill-intensive than those previously in use in domestic markets. This idea is reinforced by the finding that only imported inputs from industrialised countries - where the potential for innovation diffusion comes from - enter the estimated regression significantly

    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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