1,721,013 research outputs found
Assessing the targeting of the anti-poverty measure "Reddito di Cittadinanza" using Small Area Estimation Methods
No full textL’Obiettivo di Sviluppo Sostenibile 1 richiede l’implementazione di sis- temi di protezione sociale adeguati a livello nazionale per contrastare la poverta`. In Italia il ”Reddito di Cittadinanza” (RdC), introdotto nell’aprile 2019, rappre- senta una misura cruciale in tal senso. In questo lavoro valutiamo il targeting del RdC in 59 aree locali rappresentate dai tre gradi di urbanizzazione in ciascuna regione. Per misurare i tassi di poverta`, stimiamo il rischio di poverta` e la poverta` assoluta attraverso l’applicazione di modelli di stima per piccole aree. I nostri risul- tati suggeriscono che l’RdC mostra un targeting molto eterogeneo a livello locale, escludendo ampie quote di famiglie povere dal programma.Sustainable Development Goal 1 calls for the implementation of nation- ally appropriate social protection systems to contrast poverty. In Italy, a crucial anti- poverty policy is the “Reddito di Cittadinanza” (RdC) introduced in April 2019. In this work we aim at evaluating the targeting of the RdC in 59 local areas rep- resented by the region by degree of urbanisation level in Italy. To measure the lo- cal poverty share, we estimate At-Risk-of-Poverty rates and Absolute Poverty rates through the application of Small Area Estimation models. Our results suggest that the RdC shows very heterogeneous targeting performance at the local level, exclud- ing large shares of poor households from the program
Comparative Analysis of Student Learning: Technical, Methodological and Result Assessing of PISA-OECD and INVALSI-Italian Systems
No full textPISA is the most extensive international survey promoted by the OECD in the field of education, which measures the skills of fifteen-year-old students from more than 80 participating countries every three years. INVALSI are written tests carried out every year by all Italian students in some key moments of the school cycle, to evaluate the levels of some fundamental skills in Italian, Mathematics and English. Our comparison is made up to 2018, the last year of the PISA-OECD survey, even if INVALSI was carried out for the last edition in 2022. Our analysis focuses attention on the common part of the reference populations, which are the 15-year-old students of the 2nd class of secondary schools of II degree, where both sources give a similar picture of the students.
This Book of Short Papers includes all peer-reviewed long-abstracts submitted to the IES2022 conference, titled “Innovation & Society 5.0: Statistical and Economic Methodologies for Quality Assessment”, held at the University of Campania “L. Vanvitelli” on January 27-28, 2022. IES2022 is the 10th meeting of the biennial international conference proposed by the permanent group Statistics for the Evaluation and Quality in Services (SVQS) of the Italian Statistical Society (SIS). The SVQS group, born in 2004, focuses on national research programs and applied research activities, on statistical methods and methodologies for the evaluation of the quality of services in public and private fields
A robust strategy for building a financial portfolio
No full textThe mean-variance portfolio constitutes the milestone of the modern portfolio theory. The mean-variance model relies on two fundamental assumptions.
First, a rational investor maximizes, over a single period, the expected return of an asset for a given level of risk, which is measured by the variance of stock returns themselves. Second, the random returns are normally distributed. In reality, it is well-known that the time series of returns have heavier tails and a higher peak than in a normal distribution. In this paper, we propose the application of statistical weighted depth functions as an alternative non-parametric tool. The aim is to build a robust mean-variance model within the standard portfolio selection framework. Real data are used to investigate the performances of the proposed approach
A permutation test on the relationship between Circular Economy and firm size [Test di permutazione sulla relazione tra Economia Circolare e dimensione dell’azienda]
No full textCircular Economy (CE) has recently become the focus of the debate regarding environmental sustainability. An interesting hypothesis concerns the effect of companies’ size on the propensity of SMEs to undertake CE activities. The main difficulty of testing this hypothesis is due to confounding factors such as company age and business sector. We propose a multistrata combined permutation test and we apply it to original data concerning Italian SMEs in the metal sector
Modelling scale effects via a Bayesian approach: an application to decision making in public sector
No full textWe present a Bayesian approach for the analysis of rating data when a scaling component is taken into account. Model-based probability effect measures
for comparing distributions of several groups, adjusted for explanatory variables affecting both location and scale components, are computed. Markov Chain Monte
Carlo techniques are implemented to obtain parameter estimates and the mentioned measures. An analysis on students’ evaluation of a university orientation service is
carried out to assess the performance of the method and make more valuable the decision making process of university players (stakeholders)
Migrant Integration Policy Index (MIPEX): an analysis of countries via Gaussian mixture model-based clustering
No full textIn recent decades, there has been a growing research interest in compar- ative studies of migrant integration, assimilation and the evaluation of policies im- plemented for these purposes. With this aim, The Migrant Integration Policy Index (MIPEX), that measures policies to integrate migrants in 52 countries, has estab- lished itself as a solid reference on the subject over the years. In this work, we im- prove and facilitate the comparison between the treated countries by the application a Gaussian mixture model-based cluster analysis on the 8 MIPEX dimensions
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