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Pellegrini G.,University of Economic Sciences | Muccigrosso T.,Istituto Nazionale di Statistica
Regional Studies | Year: 2016

Do subsidized new firms survive longer? Evidence from a counterfactual approach. Regional Studies. This study provides a statistically robust evaluation of the impact of capital subsidies on the survival of start-ups in Italy. The analysis considers the subsidies provided by the main Italian regional policy, Law 488/1992, during 1996–2009. By exploiting an unusual characteristic of the L. 488 selection process, a quasi-experimental design with high internal validity – the regression discontinuity design – is applied for the first time to the survival analysis. The results show a lower default risk in subsidized start-ups. These findings contradict the view that start-ups receiving L. 488 assistance simply used the grant funding to delay exit. © 2016 Regional Studies Association Source

Palombi F.,ENEA | Toti S.,Istituto Nazionale di Statistica
Journal of Statistical Physics | Year: 2014

The stochastic dynamics of the multi-state voter model is investigated on a class of complex networks made of non-overlapping cliques, each hosting a political candidate and interacting with the others via Erdo{double acute}s-Rényi links. Numerical simulations of the model are interpreted in terms of an ad-hoc mean field theory, specifically tuned to resolve the inter/intra-clique interactions. Under a proper definition of the thermodynamic limit (with the average degree of the agents kept fixed while increasing the network size), the model is found to display the empirical scaling discovered by Fortunato and Castellano (Phys Rev Lett 99(13):138701, 2007), while the vote distribution resembles roughly that observed in Brazilian elections. © 2014 Springer Science+Business Media New York. Source

Di Minno M.N.D.,University of Naples Federico II | Dolce A.,Istituto Nazionale di Statistica | Mariani G.,University of Ferrara
Thrombosis and Haemostasis | Year: 2013

Individuals with inherited factor VII (FVII) deficiency display bleeding phenotypes ranging from mild to severe, with 30% of patients having always been asymptomatic (non-bleeding). In 626 FVII-deficient individuals, by analysing data from the International Factor VII (IF7) Registry and the Seven Treatment Evaluation Registry (STER), we determined whether bleeding type at disease presentation and FVII coagulant activity (FVIIc) predict ensuing bleeds. At disease presentation/diagnosis, 272 (43.5%) individuals were non-bleeding, 277 (44.2%) had minor bleeds, and 77 (12.3%) had major bleeds. During a median nine-year index period (IP) observation, 87.9% of non-bleeding individuals at presentation remained asymptomatic, 75.1% of minor-bleeders had new minor bleeds, and 83.1% of major-bleeders experienced new major bleeds. After adjusting for FVIIc levels and other clinical and demographic variables, the relative risk (RR) for ensuing bleedings during the IP was 6.02 (p <0.001) and 5.87 (p <0.001) in individuals presenting with major and minor bleeds, respectively. Conversely, compared to non-bleeding individuals, a 10.95 (p = 0.001) and 28.21 (p <0.001) RR for major bleedings during the IP was found in those with minor and with major bleeds at presentation, respectively. In conclusion, in FVII deficiency, the first major bleeding symptom is an independent predictor of the risk of subsequent major bleeds. © Schattauer 2013. Source

Agency: Cordis | Branch: FP7 | Program: CP-FP | Phase: HEALTH-2007-3.2-2 | Award Amount: 3.52M | Year: 2009

The large post-war baby boom is now turning into a grandparent boom, putting a triple stress on long-term care (LTC) provisions: increased numbers of elderly, increased survival of these elderly and increased survival of frail, disabled elderly through improved care and health care. Increasing body weights, through increasing disability and care dependence among the obese, further add to numbers of disabled elderly. The supply of labour is affected by the ageing of the EU population. Consequently, increasing emphasis has been put on the future development of long-term care needs, supply and use, and the functioning of LTC systems. The objectives of ANCIEN (Assessing Needs for Care In European Nations) are to review the LTC systems in EU member states, to assess the actual and future numbers of elderly care-dependent people in selected countries and to develop a methodology for comprehensive analysis of actual and future LTC needs and provisions across European countries, including the potential role of technology and policies on maintaining and improving quality. Performance indicators will be identified and relative performances of the different types of LTC systems assessed. Databases of EU countries are constructed, containing available data on LTC needs and use of the elderly. Participating partners from different countries cover the majority of the EU member states. State of the art demographic, epidemiologic and econometric models are used to project future needs and use of long-term care in representative member states with different LTC systems. Deliverables contain databases, dynamic models calculating long-term care needs, reports on future needs and use of LTC in representative member states, and country-specific and general reports on LTC systems and their performance.

Agency: Cordis | Branch: H2020 | Program: IA | Phase: ICT-15-2014 | Award Amount: 4.48M | Year: 2015

Property data are one of the most valuable datasets managed by governments worldwide and extensively used in various domains by private and public organizations. Unfortunately these data are not always easy to access. House and property data is used in a variety of ways to produce value added information within and across several business sectors, including real estate and debt collection. Such sectors suffer from a lack of innovation due to a fragmented data ecosystem which makes it difficult to access relevant datasets. This hampers innovation, protects incumbents and promotes rent-seeking business models. The difficulty in creating a single, open data market partly depends on the fact that some governmental agencies are currently making significant revenues on selling data to a restricted number of business players in the private sector. However, several studies, demonstrated that the transaction costs for government agencies tend to be very high, and often make selling the data non-profitable. proDataMarket aims to disrupt the property data market and demonstrate innovation across sectors where property data is relevant, by integrating a technical framework for effective publishing and consumption of property-related data, showcasing novel data-driven business products and services based on property data. proDataMarket will provide a digital data marketplace for open and non-open property and related contextual data, making it easier for data providers to publish and distribute their data (for free or for a fee) and for data consumers to easily access the data they need for their businesses. The consortium is formed by large companies ensuring high-impact business cases, technology transfer providers ensuring technologies for the creation and maintenance of the data market platform, and large data providers providing data for the business cases. With strong industry involvement proDataMarket will cover a wide range of data value chains related to property data.

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