1,720,983 research outputs found
More insecure and less paid? The effect of perceived job insecurity on wage distribution
No full textThis article employs a Counterfactual Decomposition Analysis (CDA) using both a semi-parametric and a non-parametric method to examine the pay gap due to perceived job insecurity over the entire wage distribution of dependent workforce in Italy. Using the 2015 INAPP Survey on Quality of Work, our results exhibit a mirror J-shaped pattern in the pay gap between secure and insecure workers, with a significant sticky floor effect, i.e. a greater effect of job insecurity at the lowest quantiles. This pattern is mainly due to the characteristics effect, while the relative incidence of the coefficient component accounts roughly for 22% up to 36% of the total difference, being more relevant at the bottom of the wage distribution
Does working from home increase the gender wage gaps? Insights from an Italian survey of occupations
No full textDoes Working from Home Increase the Gender Wage Gap? Insights from an Italian Survey of Occupations
No full textThis article investigates to what extent the working from home (WFH) feasibility of occupations can influence the gender wag gap (GWG) at the mean and along the wage distribution. Based on Oaxaca-Blinder decompositions and unconditional quantile regressions, results show that the GWG is greater among women working in an occupation with a high level of WFH feasibility. We find evidence of both sticky floor and glass ceiling effects for employees with high WFH feasibility and only a sticky floor effect for the group with low WFH feasibility. The positive association revealed between the level of WFH feasibility and the GWG appears particularly strong among older and married women employees. These results underscore that the WFH feasibility may play an important role in exacerbating future gender gaps in wages, as WFH is expected to remain a normal practice beyond the COVID-19 pandemic.HIGHLIGHTS Working from home (WFH) feasibility of occupations influences the gender wage gap (GWG) in Italy.GWG is overall wider among employees with high WFH feasibility than employees with low WFH feasibility.The GWG is higher among older and married women employees.A possible explanation is Italy's ungenerous work-family policies and poor childcare availability.There is a need for policies aimed at regulating WFH from a gender-equality perspective
The call of nature. Three post-pandemic scenarios about remote working in Milan
Full text linkIn recent years remote working (RW) arrangements have increased in many countries, mainly
because of the COVID-19 pandemic, which has also intensified the need for humans to live closer to nature. Within this context, the paper aims to discuss three possible future scenarios for the spread of RW by 2050, and how this could affect residential choices, people’s relationship with the natural environment, and thus the renewed role of large cities, small towns, and areas close to nature. A specific focus is placed on the city of Milan in northwest Italy. To give empirical foundations to our scenarios, we analyzed data for the year 2021. The first scenario we consider (the Gentrified City) implies the risk that Milan will become a gentrified city, thus pushing social and economic inequality. However, on the contrary, our data suggest that in Italy a potential pool of workers would leave the city and move to a small town or closer to nature if allowed to work remotely. This trend could lead to the second scenario (the Doughnut City), but data for Milan show that the share of those willing to leave Milan is lower than the national average, which can be explained by the good quality of offered services; thus, the city center is unlikely to empty due to RW. The desirable option would be represented by the third scenario: some remote workers move to intermediary cities (the Intermediary Cities scenario), reducing territorial disparities
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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