34 research outputs found

    Does gender matter for public spending? Empirical evidence from Italian municipalities.

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    This paper studies whether municipal expenditure in Italy is influenced by female representation in city councils. To correctly capture the causal relation we use the instrumental variable technique. Our instrument is based on a temporary change in the Italian normative occurred between 1993 and 1995 that reserved a gender quota in party lists for municipal elections, causing an exogenous change in the number of women elected in city councils. We take advantage of the fact that not all the municipalities have been treated by the law, due to its short period of enforcement. Despite the existence of gender specific preferences in the society, we find no evidence that the allocation of resources among different spending categories is affected by the gender of politicians. Our results are consistent with the Median voter theorem. Alternatively, they may suggest that the gender is not a determinant of politicians’ voting behaviour, implying that the preferences of the women involved in political activities are close to those of their male colleagues.gender, political representation, municipal expenditure

    Academic Performance and the Great Recession

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    In this paper we study how the Great Recession affected university students in terms of performance, with a special focus on the dropout probability. To do so, we use individual-level data on a representative sample of university students in Italy in 2007 and 2011. We measure the severity of the recession in terms of increases in adult and youth unemployment rate and we exploit geographical variation to achieve identification. On the one hand, an increase in adult male unemployment rate deteriorates the financial condition of the family, raising the dropout probability. On the other hand, by reducing the opportunity cost of tertiary education, an increase in youth unemployment rate decreases the dropout probability. Focusing on students who were enrolled at the university before the recession we are able to study the effects of the crisis on performance net from any potential effect on enrollment. We find evidence that overall, university dropout decreased as a result of the Great Recession and that the probability of on-time graduation increased for more motivated students. The effects, however, are considerably heterogeneous across gender and other socio-economic indicators

    Does gender matter for public spending? Empirical evidence from Italian municipalities.

    Get PDF
    This paper studies whether municipal expenditure in Italy is influenced by female representation in city councils. To correctly capture the causal relation we use the instrumental variable technique. Our instrument is based on a temporary change in the Italian normative occurred between 1993 and 1995 that reserved a gender quota in party lists for municipal elections, causing an exogenous change in the number of women elected in city councils. We take advantage of the fact that not all the municipalities have been treated by the law, due to its short period of enforcement. Despite the existence of gender specific preferences in the society, we find no evidence that the allocation of resources among different spending categories is affected by the gender of politicians. Our results are consistent with the Median voter theorem. Alternatively, they may suggest that the gender is not a determinant of politicians’ voting behaviour, implying that the preferences of the women involved in political activities are close to those of their male colleagues

    Does gender matter for public spending? Empirical evidence from Italian municipalities.

    Get PDF
    This paper studies whether municipal expenditure in Italy is influenced by female representation in city councils. To correctly capture the causal relation we use the instrumental variable technique. Our instrument is based on a temporary change in the Italian normative occurred between 1993 and 1995 that reserved a gender quota in party lists for municipal elections, causing an exogenous change in the number of women elected in city councils. We take advantage of the fact that not all the municipalities have been treated by the law, due to its short period of enforcement. Despite the existence of gender specific preferences in the society, we find no evidence that the allocation of resources among different spending categories is affected by the gender of politicians. Our results are consistent with the Median voter theorem. Alternatively, they may suggest that the gender is not a determinant of politicians’ voting behaviour, implying that the preferences of the women involved in political activities are close to those of their male colleagues

    Academic Performance and the Great Recession

    Get PDF
    In this paper we study how the Great Recession affected university students in terms of performance, with a special focus on the dropout probability. To do so, we use individual-level data on a representative sample of university students in Italy in 2007 and 2011. We measure the severity of the recession in terms of increases in adult and youth unemployment rate and we exploit geographical variation to achieve identification. On the one hand, an increase in adult male unemployment rate deteriorates the financial condition of the family, raising the dropout probability. On the other hand, by reducing the opportunity cost of tertiary education, an increase in youth unemployment rate decreases the dropout probability. Focusing on students who were enrolled at the university before the recession we are able to study the effects of the crisis on performance net from any potential effect on enrollment. We find evidence that overall, university dropout decreased as a result of the Great Recession and that the probability of on-time graduation increased for more motivated students. The effects, however, are considerably heterogeneous across gender and other socio-economic indicators

    Laboratory-based surveillance of invasive listeriosis in Northern Italy over a fourteen-year period: epidemiological and clinical results

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    Introduction Invasive listeriosis is a rare foodborne disease with a large public health impact, because of the severity of its clinical manifestations and high fatality rate. In this study, we provide a snapshot of epidemiology of listeriosis in Lombardy Region, Northern Italy, reviewing enhanced surveillance data collected over fourteen years, after the implementation of a voluntary laboratory-based surveillance system for the referral of clinical isolates of Listeria monocytogenes to a regional reference laboratory, since 2005. Methods Invasive listeriosis cases data from 2005 to 2018 were extracted from the regional laboratory-based surveillance system database and compared with the regional mandatory notification disease system data. Results Over the fourteen period under study, 533 Listeria monocytogenes isolates were detected by the laboratory surveillance system, 55 of which from pregnancy-related cases. The median age of non-pregnancy-associated patients was 71 years, with 64.6% of cases observed in the elderly. Cases with underlying medical risk conditions accounted for 92.1%, and the fatality rate was 26.2%. By integrating data from the two sources, a total of 935 cases were recorded. The collection of data through the laboratory surveillance system allowed to increase the surveillance sensitivity by 18%. Conclusions Our results documented the growing epidemiological relevance of listeriosis through the analysis of two information sources. The data we obtained were consistent with the literature, except for pregnancy-related cases, which are often underdiagnosed. This study highlighted the importance of laboratory-based surveillance system, which led to a significant increase in the sensitivity of the mandatory notification system

    Clinical characterization and whole genome sequence-based typing of two cases of endophthalmitis due to Listeria monocytogenes

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    Endophthalmitis due to Listeria monocytogenes is an exceedingly rare cause of listeriosis. Here, we report two cases which occurred in patients with different medical history, a 46-years-old immunocompetent woman and an elderly man with several comorbidities. There was no history of trauma or surgery in either patient suggesting an endogenous origin. Despite antibiotic treatment, both patients showed poor visual acuity outcomes. Subtyping clinical isolates using whole genome sequencing could allow to identified Listeria monocytogenes strains involved in rare clinical manifestation, such as in unusual anatomical sites, even in immunocompetent patients, and could be helpful in the redefinition of the hypervirulent strains

    Advanced deep learning comparisons for non-invasive tunnel lining assessment from ground penetrating radar profiles

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    Innovative, automated, and non-invasive techniques have been developed by scientific community to indirectly assess structural conditions and support the decision-making process for a worthwhile maintenance schedule. Nowadays, machine learning tools are in the spotlight because of their outstanding capabilities to deal with data coming from even heterogeneous sources and their ability to extract information from the structural systems, providing highly effective, reliable, and efficient damage classification tools. In the current study, a supervised multi-level damage classification strategy has been developed regarding Ground Penetrating Radar (GPR) profiles for the assessment of tunnel lining conditions. In previous research, the authors firstly considered a convolutional neural network (CNN), adopting the quite popular ResNet-50, initialized through transfer learning. In the present work, further enhancements have been attempted by adopting two configurations of the newest state-of-art advanced neural architectures: the neural transformers. The foremost is the original Vision Transformer (ViT), whose core is an encoder entirely based on the innovative self-attention mechanism and does not rely on convolution at all. The second is an improvement of ViT which merges convolution and self-attention, the Compact Convolution Transformer (CCT). In conclusion, a critical discussion of the different pros and cons of adopting the above-mentioned different architectures is finally provided, highlighting the actual powerfulness of these technologies in the future civil engineering paradigm nevertheless
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