Indagine sugli sbocchi occupazionali dei dottori di ricerca dell'Universita' di Pisa: i tempi di inserimento nel mondo del lavoro

Tale lavoro si è posto l'obiettivo di studiare i tempi di inserimento nel mondo del lavoro dei dottori di ricerca dell'Università di Pisa che hanno conseguito il titolo negli anni 2010,2011,2012. Tale studio è stato effettuato utilizzando modelli di durata

Inference for big data assisted by small area methods: an application to OBEC (on-line based enterprise characteristics)

Nowadays, the availability of a huge amount of data produced by a wide range of new technologies, so-called big data, is increasing. However, data obtain- able from big data sources are often the result of a non-probability sampling process and adjusting for the selection bias is an important practical problem. In this paper, we propose a novel method of reducing the selection bias associated with the big data source in the context of Small Area Estimation (SAE). Our approach is based on data integration and the combination of a big data sample and a probability sam- ple. An application on OBEC (on-line based enterprise characteristics) combining Istat sampling survey and web scraping data has been proposed

Fast diffusing p75NTR monomers support apoptosis and growth cone collapse by neurotrophin ligands

The p75 neurotrophin (NT) receptor (p75NTR) plays a crucial role in balancing survival-versus-death decisions in the nervous system. Yet, despite 2 decades of structural and biochemical studies, a comprehensive, accepted model for p75NTR activation by NT ligands is still missing. Here, we present a single-molecule study of membrane p75NTR in living cells, demonstrating that the vast majority of receptors are monomers before and after NT activation. Interestingly, the stoichiometry and diffusion properties of the wild-type (wt) p75NTR are almost identical to those of a receptor mutant lacking residues previously believed to induce oligomerization. The wt p75NTR and mutated (mut) p75NTR differ in their partitioning in cholesterol-rich membrane regions upon nerve growth factor (NGF) stimulation: We argue that this is the origin of the ability of wt p75NTR , but not of mut p75NTR, to mediate immature NT (proNT)-induced apoptosis. Both p75NTR forms support proNT-induced growth cone retraction: We show that receptor surface accumulation is the driving force for cone collapse. Overall, our data unveil the multifaceted activity of the p75NTR monomer and let us provide a coherent interpretative frame of existing conflicting data in the literature

Measuring differences in economic standard of living between immigrant communities in Italy

Measuring differences in the economic standard of living of between natives and other ethnic groups can inform us about the relative disadvantages and inequalities within Italian society. Despite the importance of this question, the measurement of this gap is not an easy task because, when using the usual design-based approach to survey sampling inference, the available micro-data lack sufficient sample size for the majority of immi- grant communities needed to obtain reliable estimates. In this paper, we show that small area estimation (SAE) techniques can be applied in a fruitful way to avoid this issue. In particular, we use an approach based on M-quantile regression for estimating the economic standard of living in each community in Italy. Our findings highlight economic disparities between natives and other ethnic groups and suggest the need to adopt specific policies that target the most vulnerable immigrant communities and are designed to improve their economic standard of living

Studying the relationship between anxiety and school achievement: evidence from PISA data

Using the Programme for International Student Assessment (PISA) 2015 data for Italy, this paper offers a complete overview of the relationship between test anxiety and school performance by studying how anxiety affects the performance of students along the overall conditional distribution of mathematics, literature and science scores. We aim to indirectly measure whether higher goals increase test anxiety, starting from the hypothesis that high-skilled students generally set themselves high goals. We use an M-quantile regression approach that allows us to take into account the hierarchical structure and sampling weights of the PISA data. There is evidence of a negative and statistically significant relationship between test anxiety and school performance. The size of the estimated association is greater at the upper tail of the distribution of each score than at the lower tail. Therefore, our results suggest that high-performing students are more affected than low-performing students by emotional reactions to tests and school-work anxiety

Preface

The COVID-19 pandemic is putting our society under incredible health, emotional, and economic stress. Facing its harmful effects and their uncertainty, the Executive Board of the Italian Statistical Society SIS) and the Local Organizing Committee, to ensure the highest level of safety for members and delegates, deliberated to cancel the 50th Meeting of the Italian Statistical Society originally planned to be held in Pisa in June 2020 and to postpone the conference to June 2021. The Executive Board and the Local Organizing Committee continue to monitor closely the pandemic evolving situation, and keep the members of SIS and the researchers informed about the potential new dates for the next meeting. To give value to the work of those who prepared their presentation for the conference, the Program Committee decided to publish the volume Book of short papers - SIS 2020 despite the conference cancellation