Secondo fascicolo del 2018
C o n t e n t s
di Alina Jedrzejczak, Kamila Trzcinska
pagine: 18
Scarica
Abstract ∨
Zenga distribution is a new income distribution model which possesses interesting statistical properties and can be fitted to various empirical wage and income distributions. In the paper an attempt of an application of the model to income distributions in Poland by socio-economic groups is presented. The basis for the calculation was the micro data coming from the HBS sample provided by the Statistics Poland. The results of the calculations confirm that the Zenga distribution is a good income distribution model which can be successfully applied to income inequality analysis and income distribution comparisons.
di Paolo Berta, Massimo Cannas, Francesco Mola
pagine: 18
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Abstract ∨
Quality evaluation in healthcare has obtained a growing attention in the statistical literature. In order to evaluate hospital performances by comparing hospital outcomes it is necessary to remove the bias due to the different case-mix in each hospital, which is usually done using statistical modeling as a risk adjustment tool. Template matching is a new matching approach allowing to remove bias selection in a multi-treatment setting, resulting in a clean and easily interpretable evaluation. We adopted this method to compare caesarean section rates across the hospitals of two Italian regions: Sardinia and Lombardy. We found 5 (out of 79) hospitals with abnormal performance on the same template of expectant mothers, and all these hospitals are located in Lombardy, whereas we do not observe a relationship with the number of deliveries per year and the ownership. Despite this, fairness of the comparing procedure makes easier for the policy makers the identification of potential outliers with respect to both patients’ selection and outcomes.
di Enrico Ciavolino, Giada Coletta, Lara Colombo, Claudio Giovanni Cortese, Emanuela Ingusci, Isabel Rodriguez, Fulvio Signore, Nuria Tordera, Margherita Zito
pagine: 21
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Abstract ∨
Research on job crafting is increasing nowadays. Job crafting has been studied in terms of a mediator variable useful to improve positive organizational behaviors, and it has crucial theoretical and practical implications. In order to facilitate its measurement in large surveys, in different settings, we aimed to develop a brief 12-item version, the Job Crafting Scale-Short Form (JCS-SF). Having a brief scale to measure job crafting behaviors will contribute to facilitate research in several organizational contexts. This study presents the main psychometric properties of a brief JC scale based on JC scale developed by Tims et al. (2012). EFA results show support for the original Four-factor solution. Results have been confirmed using CFA. The four subscales showed adequate reliability. The brief scale could be used for researchers and practitioners in public and private organizational sectors.
di Pier Luigi Novi Inverardi
pagine: 19
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Abstract ∨
In this paper a simulation study is carried out to compare the power of a new test derived from the Gini’s index of dispersion of the spacings with some well-known tests of uniformity against the standard alternatives such as the Beta family, Lehmann type alternatives and Tukey’s family of distributions. In this simulation special attention is devoted to the values of the parameters corresponding to low, moderate and high value of the Kullback-Leibler (KL) distance from the uniform. Next some asymptotically locally most powerful tests, in addition to locally most powerful test for normal sequence of location alternatives, are described. For the simulated power comparison of these with the above test, members from each of the three families of densities given in Quesenberry and Miller with small and large KL distance from uniform are selected.
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