Modelling the location decisions of manufacturing firms with a spatial point process approach

The paper is devoted to explore how the increasing availability of spatial micro-data, jointly with the diffusion of GIS software, allows to exploit micro-econometric methods based on stochastic spatial point processes in order to understand the factors that may influence the location decisions of new firms. By using the knowledge of the geographical coordinates of the newborn firms, their spatial distribution is treated as a realization of an inhomogeneous marked point process in the continuous space and the effect of spatial-varying factors on the location decisions is evaluated by parametrically modelling the intensity of the process. The study is motivated by the real issue of analysing the birth process of small and medium manufacturing firms in Tuscany, an Italian region, and it shows that the location choices of the new Tuscan firms is influenced on the one hand by the availability of infrastructures and the level of accessibility, and on the other by the presence and the characteristics of the existing firms. Moreover, the effect of these factors varies with the size and the level of technology of the new firms. Besides the specific Tuscan result, the study shows the potentiality of the described micro-econometric approach for the analysis of the spatial dynamics of firms.     

Does child care availability play a role in maternal employment and children’s development? Evidence from Italy

This paper investigates the effects of public child care availability in Italy in mothers’ working status and children’s scholastic achievements. We use a newly available dataset containing individual standardized test scores of pupils attending the second grade of primary school in 2009–2010 in conjunction with data on public child care availability. Our estimates indicate a positive and significant effects of child care availability on both mothers’ working status and children’s Language test scores. We find that a percentage change in public child care coverage increases mothers’ probability to work by 1.3 percentage points and children’s Language test scores by 0.85 percent of one standard deviation; we do not find any effect on Math test scores. Moreover, the impact of a percentage change in public child care on mothers’ employment and children’s Language test scores is greater in provinces where child care availability is more limited.     

“The Scum of the Scum of the Scum”: Rose Romano's Search for Sisterhood

This article explores the interplay of ethnicity and sexuality in poet Rose Romano's work, especially as she engages in a complex, and, at times, highly debatable identity politics. In her poetry, Romano denounces the oppression she experiences as a lesbian, a Sicilian American, and even as an “olive” ethnic in the lesbian publishing community. Particularly interesting is her strained relationship with the multicultural lesbian community due to disagreements around the concept of race, and, consequently, of racial hierarchies. With her poetry, Rose Romano questioned all kinds of categorizations that do not take into account the complexities of her multi-faceted identity.     

Evaluating the iterative development of VR/AR human factors tools for manual work

This paper outlines the approach taken to iteratively evaluate a set of VR/AR (virtual reality / augmented reality) applications for five different manual-work applications - terrestrial spacecraft assembly, assembly-line design, remote maintenance of trains, maintenance of nuclear reactors, and large-machine assembly process design - and examines the evaluation data for evidence of the effectiveness of the evaluation framework as well as the benefits to the development process of feedback from iterative evaluation. ManuVAR is an EU-funded research project that is working to develop an innovative technology platform and a framework to support high-value, high-knowledge manual work throughout the product lifecycle. The results of this study demonstrate the iterative improvements reached throughout the design cycles, observable through the trending of the quantitative results from three successive trials of the applications and the investigation of the qualitative interview findings. The paper discusses the limitations of evaluation in complex, multi-disciplinary development projects and finds evidence of the effectiveness of the use of the particular set of complementary evaluation methods incorporating a common inquiry structure used for the evaluation - particularly in facilitating triangulation of the data.     

Regional Disparities and Labour Mobility: the Euro-11 versus the USA

In this paper we assess whether regional disparities in the euro area stimulate labour mobility, using migration behaviour in US states as a benchmark. Large regional disparities within European countries and size differences between them and US states led us to select regions as the appropriate unit of analysis for Europe. While the level of net immigration flows with respect to population is similar in the USA and the euro area, our study shows that its sensitivity to regional disparities differs considerably. Indeed, migration is much more significantly influenced by income disparities in the USA than it is in the Euro-11, both in the short and the long term. Furthermore, the responsiveness of net migration inflows to shocks to the relative unemployment rate is negative in the regions of the USA, but nil in those of the Euro-11. Finally, risk factors (identified in the theoretical model as the variance of income) are significant determinants of migration decisions in Europe but not in the USA.     

Regional Infrastructure and Convergence: Growth Implications in a Spatial Framework

In this paper we contribute to the debate on convergence, by presenting an overview of the catch up process of the European regions between 1995 and 2006, focusing on both absolute and conditional β convergence. Our focus is on the role of infrastructure stocks in shaping the growth and convergence process between EU regions and to what extent the spatial dimension of the data affects results. We also explicitly examine the link between infrastructure evolution and regional economic growth with a spatial panel data approach. Our results confirm an ongoing convergence process at the EU regional level, and assess the important role of transport and telecommunication infrastructure, with traditional and spatial estimation techniques. We also confirm, in a panel setting, the strong positive correlation between transport and TLC indicators and GDP growth at the regional level.     

Is a good example the best sermon? Children’s imitation of parental reading

We use the last two waves of the Italian Time Use Survey to analyse whether children imitate the reading habits of their parents. As reading is crucial for continuous investment in human capital throughout a person’s life, it is important that children acquire the habit of reading. This habit may be developed through both cultural and educational transfers from parents to children, and through imitative behaviours. Imitation is of particular interest, as it suggests that parents can have a direct influence on the formation of their children’s preferences and habits, and that active policies promoting good parenting behaviours might therefore be desirable. We investigate the short-run imitative behaviour of children using a household fixed-effects model in which we identify the impact of the parents’ role model by exploiting the differences in the exposure of siblings to their parents’ example within the same household. We find robust evidence of the existence of an imitation effect: on the day of the survey, children were more likely to had read after seeing either their mother or their father reading.     

Infants' Visual Recognition of Pincer Grip Emerges Between 9 and 12 Months of Age

The development of the ability to recognize the whole human body shape has long been investigated in infants, while less is known about their ability to recognize the shape of single body parts, and in particular their biomechanical constraints. This study aimed to explore whether 9‐ and 12‐month‐old infants have knowledge of a hand‐grasping movement (i.e., pincer grip), being able to recognize violations of the hand's anatomical constraints during the observation of that movement. Using a preferential looking paradigm, we showed that 12‐month‐olds discriminate between biomechanically possible and impossible pincer grips, preferring the former over the latter (Experiment 1). This capacity begins to emerge by 9 months of age, modulated by infants' own sensorimotor experience with pincer grip (Experiment 2). Our findings indicate that the ability to visually discriminate between pincer grasps differing in their biomechanical properties develops between 9 and 12 months of age, and that experience with self‐produced hand movements might help infants in building a representation of the hand that encompasses knowledge of the physical constraints of this body part.     

The Gini concentration test for survival data

We apply the well known Gini index to the measurement of concentration in survival times within groups of patients, and as a way to compare the distribution of survival times across groups of patients in clinical studies. In particular, we propose an estimator of a restricted version of the index from right censored data. We derive the asymptotic distribution of the resulting Gini statistic, and construct an estimator for its asymptotic variance. We use these results to propose a novel test for differences in the heterogeneity of survival distributions, which may suggest the presence of a differential treatment effect for some groups of patients. We focus in particular on traditional and generalized cure rate models, i.e., mixture models with a distribution of the lifetimes of the cured patients that is either degenerate at infinity or has a density. Results from a simulation study suggest that the Gini index is useful in some situations, and that it should be considered together with existing tests (in particular, the Log-rank, Wilcoxon, and Gray–Tsiatis tests). Use of the test is illustrated on the classic data arising from the Eastern Cooperative Oncology Group melanoma clinical trial E1690.     

Bayesian Gaussian Mixture Models for High-Density Genotyping Arrays

Affymetrix's SNP (single-nucleotide polymorphism) genotyping chips have increased the scope and decreased the cost of gene-mapping studies. Because each SNP is queried by multiple DNA probes, the chips present interesting challenges in genotype calling. Traditional clustering methods distinguish the three genotypes of an SNP fairly well given a large enough sample of unrelated individuals or a training sample of known genotypes. This article describes our attempt to improve genotype calling by constructing Gaussian mixture models with empirically derived priors. The priors stabilize parameter estimation and borrow information collectively gathered on tens of thousands of SNPs. When data from related family members are available, our models capture the correlations in signals between relatives. With these advantages in mind, we apply the models to Affymetrix probe intensity data on 10,000 SNPs gathered on 63 genotyped individuals spread over eight pedigrees. We integrate the genotype-calling model with pedigree analysis and examine a sequence of symmetry hypotheses involving the correlated probe signals. The symmetry hypotheses raise novel mathematical issues of parameterization. Using the Bayesian information criterion, we select the best combination of symmetry assumptions. Compared to Affymetrix's software, our model leads to a reduction in no-calls with little sacrifice in overall calling accuracy.