1,720,968 research outputs found
Modelling a change of classification in economic time series data
No full textThe change of classification problem for economic sectoral time series data is examined by a approach. State space representations are proposed both for data reconstruction and modelling a change of classification. The Doran (1992) methodology of constraining the Kalman filter to satisfy time varying restrictions is applied to show how to handle both limited information and aggregation constraints. We explore the implications of this approach for what will be, perhaps, the most important change of classification in sectoral data: the new National Accounts for European Unification. Results of an experimental application to Italian Quarterly Accounts are provide
Temporal disaggregation and the adjustment of quarterly national accounts for seasonal and calendar effects
No full textThe statistical treatment of seasonality and calendar effects in the estimation of quarterly national accounts raises a number of issues that bear important consequences for the assessment of current economic conditions. In many European countries, the quarterly national accounts are constructed by national statistical institutes by disaggregating the original annual measurements using related monthly indicators. In this article we propose and evaluate an alternative approach that hinges upon the estimation of a bivariate basic structural time series model at the monthly frequency, accounting for the presence of seasonality and calendar components. Its main virtue is to enable the adjustment and temporal disaggregation to be carried out simultaneously. The proposed methodology also complies with the recommendations made by the Eurostat - European Central Bank task force on the seasonal adjustment of quarterly national accounts. The overall conclusion is that the identification and consequently the separation of seasonal and calendar effects from aggregate data is highly controversial
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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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