82 research outputs found

    A few Euro more: benefit generosity and the optimal path of unemployment benefits

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    In this paper, we exploit the provision of higher UB at different points of the unemployment spell to shed light on the relative cost of insurance at different horizons after the job loss. First, we exploit a double cap system in an RDD setting to study the effect of higher benefit levels in the early part of unemployment spell on time on benefits and non-employment. We find that higher benefits increase the time spent on benefits and in non-employment, with no impact on new job quality. Second, we exploit an age-based discontinuity in benefit duration, which determines higher benefits later in the spell, to compare the behavioural and mechanical costs of these two variations in benefits. We find that the moral hazard costs are greater for higher benefit levels early in the spell. In addition, we provide evidence of a slight negative selection in long term unemployment and argue that the long-term unemployed face higher uncertainty in their employment prospects. These findings suggest that higher benefits later in the unemployment spell generate lower costs and would provide higher insurance. Our results question the optimality of strongly declining schedules for unemployment benefit levels

    The pro-export effect of sub-national migration networks: New evidence from Spanish provinces

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    2noWe investigate the effect that subnational networks of immigrants and emigrants had on exports from Spanish provinces (NUTS3) over the period of 2007–2016 by integrating state-of-the-art advances in the gravity model literature. In particular, we allow for heterogeneity in provincial export capacity, which significantly reduces pro-export effects, and select the Poisson Pseudo-Maximum Likelihood as the most suitable estimator according to diagnostic tests. When both immigration and emigration are instrumented, the pro-export effect of immigrants found by previous studies vanishes and that of emigrants, instead, appears appreciable. The results we obtained suggest that over the period that encompasses the double-deep crisis, immigrants did not show significant information and enforcement effects in the considered context, while the effects of emigrant demand for home-country goods may have been important. The prevalence of emigrant over immigrant effects appears attributable to a change in the composition of the migration stocks over the considered period of crisis.openopenD'Ambrosio, Anna; Montresor, SandroD'Ambrosio, Anna; Montresor, Sandr

    Why investing in Africa? The differential role of Chinese government support

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    We study whether the determinants of greenfield FDI in Africa differ between Chinese and non-Chinese investors. By using investment-level data we focus on the differential effect of risk- and information-related factors, i.e., investment protection provided by International Investment Agreements (IIAs) and agglomeration economies (country-of-origin agglomeration, industry agglomeration, and internal agglomeration) both at an aggregate level and for different functions. Chinese investors appear to be less reliant on internal and country-of-origin agglomeration and on investment protection agreements than non-Chinese ones. This result appears to be mostly driven by investments in Services and Manufacturing activities. We argue that Chinese investors are backed by the direct engagement of their State when locating in Africa so that firm co-location and IIA protection are less salient in affecting their location choices

    “Fear Is the Path to the Dark Side”. Electoral Results and the Workplace Safety of Immigrants

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    Populist parties’ propaganda portrays immigrants as a threat to native workers’ jobs. When propaganda materializes as an electoral success, it may drive changes in natives’ attitudes towards immigrants. As shown experimentally by Bursztyn et al. (2020), electoral results may signal a change in social preferences about immigration and make individuals more likely to express anti-immigrant resentment that they were previously hiding. We employ Italian administrative data to explore whether this mechanism implies actual differences in native and foreign workers’ labor market outcomes. We estimate the impact of the electoral results of an Italian populist party, the Lega Nord, on natives and foreigners’ workplace injuries and wages. We show that, on average, a 1% increase in the votes for the Lega Nord increases within-job-spell injury rates of foreign workers by 0.9%. Firms below fifteen employees benefiting from less employment protection drive the result. We argue that this is due to a reallocation of hazardous tasks to immigrant workers only in contexts characterized by higher job insecurity. The evidence is weaker for wage reductions, arguably due to labor market rigidity

    The influence of sex and gender on immunity, infection and vaccination

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    Sex/gender significantly contribute to shape the immune responses, contributing to differences in the pathogenesis of infectious diseases in males and females, the response to viral vaccines and the prevalence of autoimmune diseases. Females typically develop higher innate, humoral and cellular immune responses to viral infections and in response to vaccine. At the same time, women are more prone to autoimmune diseases and experience more adverse reactions to vaccination. Hormonal, genetic and environmental factors between males and females may affect the immune responses and the sex-related outcome of vaccination. Knowledge of the mechanisms involved in sex disparity in immune responses will contribute to identify the ways to reduce adverse reactions in females and to improve the immune responses in males. This is necessary to adequately protect both sexes against the immune-mediated and infectious diseases with the longterm goal of personalizing the therapies for males and femal

    Migration, communities-on-the-move and international innovation networks: An empirical analysis of Spanish regions

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    This paper investigates the impact of migration on innovation networks between regions and foreign countries. We posit that immigrants (emigrants) act as a transnational knowledge bridge between the host (home) regions and their origin (destination) countries, thus facilitating their co-inventorship networks. We also argue that the social capital of both the hosting and the moving communities reinforces such a bridging role, along with language commonality and migrants’ human capital. Focusing on Spain, as a country that hosted an intense process of migration over the past two decades, we combine patent data with national data on residents and electors abroad and we apply a gravity model to the co-inventorship between Spanish provinces (NUTS3 regions) and a number of foreign countries. Both immigrants and emigrants affect the kind of innovation networking at stake. The social capital of both the moving and the hosting communities actually moderate this impact in a positive way. The effect of migration is stronger for more skilled migrants and with respect to non-Spanish speaking countries, pointing to a language-bridging role of migrants. Policy implications are drawn accordingly

    Beyond the standard seesaw: neutrino masses from Kahler operators and broken supersymmetry

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    We investigate supersymmetric scenarios in which neutrino masses are generated by effective d=6 operators in the Kahler potential, rather than by the standard d=5 superpotential operator. First, we discuss some general features of such effective operators, also including SUSY-breaking insertions, and compute the relevant renormalization group equations. Contributions to neutrino masses arise at low energy both at the tree level and through finite threshold corrections. In the second part we present simple explicit realizations in which those Kahler operators arise by integrating out heavy SU(2)_W triplets, as in the type II seesaw. Distinct scenarios emerge, depending on the mechanism and the scale of SUSY-breaking mediation. In particular, we propose an appealing and economical picture in which the heavy seesaw mediators are also messengers of SUSY breaking. In this case, strong correlations exist among neutrino parameters, sparticle and Higgs masses, as well as lepton flavour violating processes. Hence, this scenario can be tested at high-energy colliders, such as the LHC, and at lower energy experiments that measure neutrino parameters or search for rare lepton decays.Comment: LaTeX, 34 pages; some corrections in Section

    Twelve Variants Polygenic Score for Low-Density Lipoprotein Cholesterol Distribution in a Large Cohort of Patients With Clinically Diagnosed Familial Hypercholesterolemia With or Without Causative Mutations

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    : Background A significant proportion of individuals clinically diagnosed with familial hypercholesterolemia (FH), but without any disease-causing mutation, are likely to have polygenic hypercholesterolemia. We evaluated the distribution of a polygenic risk score, consisting of 12 low-density lipoprotein cholesterol (LDL-C)-raising variants (polygenic LDL-C risk score), in subjects with a clinical diagnosis of FH. Methods and Results Within the Lipid Transport Disorders Italian Genetic Network (LIPIGEN) study, 875 patients who were FH-mutation positive (women, 54.75%; mean age, 42.47±15.00 years) and 644 patients who were FH-mutation negative (women, 54.21%; mean age, 49.73±13.54 years) were evaluated. Patients who were FH-mutation negative had lower mean levels of pretreatment LDL-C than patients who were FH-mutation positive (217.14±55.49 versus 270.52±68.59 mg/dL, P<0.0001). The mean value (±SD) of the polygenic LDL-C risk score was 1.00 (±0.18) in patients who were FH-mutation negative and 0.94 (±0.20) in patients who were FH-mutation positive (P<0.0001). In the receiver operating characteristic analysis, the area under the curve for recognizing subjects characterized by polygenic hypercholesterolemia was 0.59 (95% CI, 0.56-0.62), with sensitivity and specificity being 78% and 36%, respectively, at 0.905 as a cutoff value. Higher mean polygenic LDL-C risk score levels were observed among patients who were FH-mutation negative having pretreatment LDL-C levels in the range of 150 to 350 mg/dL (150-249 mg/dL: 1.01 versus 0.91, P<0.0001; 250-349 mg/dL: 1.02 versus 0.95, P=0.0001). A positive correlation between polygenic LDL-C risk score and pretreatment LDL-C levels was observed among patients with FH independently of the presence of causative mutations. Conclusions This analysis confirms the role of polymorphisms in modulating LDL-C levels, even in patients with genetically confirmed FH. More data are needed to support the use of the polygenic score in routine clinical practice
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