1,720,986 research outputs found
Does union formation change attitudes towards childbearing in Bulgaria? A propensity score analysis
No full textThis paper explores how attitudes towards childbearing change after cohabitation and marriage. Entering in a union may affect attitudes towards childbearing, but at the same time individuals who are more oriented towards childbearing may be more determined to form unions. In order to disentangle the interplay between union formation and subsequent changes in attitudes towards childbearing we implement propensity score matching, which is applied to a panel data coming from a survey in Bulgaria to identify the effect of union formation on attitudes related to childbearing. This method controls for observable confounders which may affect both the probability of entering into a union and childbearing preferences, reducing selection bias. We find a positive and significant causal relationship of entering into union on attitudes towards parenthood among men, whereas the effect is weaker and often uncertain for women
2000, 2005, 2010, 2015, 2017 and 2020 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute, Version 3
No full text2000, 2005, 2010, 2015, 2017 and 2020 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org), Version 3.</span
Mortality by cause of death in Colombia: a local analysis using spatial econometrics
Get PDFColombia is undergoing major changes in mortality patterns. National- and department-level cause-specific analyses have previously been carried out, but very little is known about municipal-level trends, despite their epidemiological interest. We first analyze standardized mortality rates for seven cause-of-death groups to obtain high and low mortality clusters based on the spatial autocorrelation indicators Global Moran’s I and Local Moran’s I. The Mann–Whitney nonparametric test is then used to ascertain statistical associations between the high and low mortality clusters and known health determinants. We subsequently apply spatial lag and Durbin (when spatial autocorrelation was present) and OLS models (when not) to explain overall spatial patterns in cause-specific mortality. Age- and sex-specific cause-of-death mortality and population data were obtained from the National Administrative Department of Statistics (DANE). Deaths were corrected for each municipality due to under-registration. Results show that spatial autocorrelation declined over time for all cause-of-death categories, except male circulatory system diseases and perinatal mortality. It is highest in external causes, especially among men, with mortality hotspots moving from the central Andean area to Orinoquia and the Amazon rainforest. Male mortality is also more spatially clustered than female mortality and especially neoplasms, and external-cause mortality is also indirectly affected by the conditions of neighboring municipalities. Municipal surface area, ethnicity and public expenditure on health and education are the most frequent contextual variables explaining territorial differences in mortality. The identification of geographical mortality clusters in Colombia will allow decision makers to prioritize those regions with higher mortality
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
The role of unobserved heterogeneity in transition to higher parity : evidence from Italy using Multiscopo survey
No full textThe paper uses data from 2003 Multiscopo Italian Survey to estimate education effects on fertility and in particular to determine how and to what degree does unobserved heterogeneity influence the estimated effects, that is to say how unobserved heterogeneity might bias estimates of effects of education on transition to 1st, 2nd and 3rd births. The peculiarity of this study is the implementation of a multiprocess approach, which allows for a broader and more efficient view of the phenomenon, studying jointly the transition to first, second and third or higher order births. In doing this I will use control variables, in particular educational level of the mother and her siblings (i.e. partner and grandmother), to detect possible influences of education in childbearing timing. Moreover, this topic has not yet been analysed using Italian data, in particular using Multiscopo Survey data and it may produce interesting comparisons with regard to other European countries, where the topic has already been addressed. In this study I will prove that number of siblings is the variable, which has a significative and relevant effect in all the models considered and that women partner’s education has an up-and-down effect on transition to childbearing. Moreover, the inclusion of unobserved characteristics of women has an important role in understanding transition to childbearing, being positive and significant
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