Search results for "ECs"

showing 10 items of 2721 documents

Un caso di project finance nel settore idrico

2009

project finance idricoSettore SECS-P/11 - Economia Degli Intermediari Finanziari
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Il project finance nel finanziamento delle opere pubbliche

2009

project finance opere pubblicheSettore SECS-P/11 - Economia Degli Intermediari Finanziari
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Ex-post evaluation of Territorial Integrated Projects in Italy: an empirical analysis at firm level

2013

This paper focuses on the evaluation of an incentive program for firms implemented in southern Italy during the last decade. In the framework of the policy instruments aimed to reduce territorial disparities, and to support local development, territorial integrated projects (TIP) constituted a new operational mode to implement the Regional Operational Programmes. A TIP is defined as a ?set of inter-sectorial actions, closely consistent and linked among them, which converge towards the common objective of territorial development and justify a unitary implementation approach'. The resources allocated for each TIP may be aimed at three types of interventions such as infrastructures, public act…

propensity score matchingR58Settore SECS-P/02 Politica Economicajel:H71ex-post evaluation; local development; public subsidies; propensity score matching; difference-in-differences.local developmentpublic subsidiesjel:L5difference-in-differencesddc:330L5jel:R58ex-post evaluationH71evaluation territorial firm
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Does taking additional Maths classes improve university performance?

2022

Several recent studies in educational literature showed how students’ skills in maths affect their success at higher levels of education. The aim of this paper is to evaluate the effect of taking additional maths class at high school on first-year performance of Italian university students. However, university performance and the choice of the high-school depend on several factors that make this evaluation challenging. Using information coming from three different sources, we carry out a multilevel propensity score procedure to estimate the average treatment effect between the applied sciences track and the traditional scientific one. After balancing for school- and student-level covariates…

propensity score fine balance educational data multilevel propensity score optimal network flowSettore SECS-S/05 - Statistica SocialeSettore SECS-S/01 - Statistica
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Tourism and the perceived quality of life of Sicilian residents. Evidences from a sample research.

2012

quality of life tourism host-guest relationsSettore SECS-S/05 - Statistica Sociale
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Regression quantiles to assess higher education performance

2012

From 2001 Italian university system has adopted the credits to mea- sure the workload of the students. The weighted mean of marks with credits as weights is used to measure the their performance. In our opinion it does not seem a proper way to measure. We suggest to adopt the median of the weighted marks, because we are considering an ordinale variable, with a non-normal empir- ical distribution, and a®ected by outliers. Then, instead of using an OLS multiple regression, we investigate the determinants of the performance measured by the median using a regression quantile for ordinal response. A real dataset concerning 133 students of the Faculty of Economics of the University of Palermo is …

quan- tile regressionmeasurement of educational pathmedian of weighted markSettore SECS-S/05 - Statistica SocialeSettore SECS-S/01 - Statistica
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Non-crossing quantile regression via monotone B-spline varying coefficients

2019

Quantile regression can be used to obtain a nonparametric estimate of a conditional quantile function. The presence of quantile crossing, however, leads to an invalid distribution of the response and makes it dicult to use the tted model for prediction. In this work, we show that crossing can be alleviated or completely eliminated by explicit modeling of the regression coecients as a function of the percentile values in (0,1). We illustrate the approach via a wellknown dataset by emphasizing dierences with respect to the competitors.

quantile regressionSettore SECS-S/01 - Statisticanon-crossingfourth dutch growth study
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ENSEMBLE METHODS FOR RANKING DATA

2017

The last years have seen a remarkable flowering of works about the use of decision trees for ranking data. As a matter of fact, decision trees are useful and intuitive, but they are very unstable: small perturbations bring big changes. This is the reason why it could be necessary to use more stable procedures, as ensemble methods, in order to find which predictors are able to explain the preference structure. In this work ensemble methods as BAGGING and Random Forest are proposed, from both a theoretical and computational point of view, for deriving classification trees when ranking data are observed. The advantages of these procedures are shown through an example on the SUSHI data set.

ranking data ensemble methods bagging random forestSettore SECS-S/01 - Statistica
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Ensemble methods for ranking data with and without position weights

2020

The main goal of this Thesis is to build suitable Ensemble Methods for ranking data with weights assigned to the items’positions, in the cases of rankings with and without ties. The Thesis begins with the definition of a new rank correlation coefficient, able to take into account the importance of items’position. Inspired by the rank correlation coefficient, τ x , proposed by Emond and Mason (2002) for unweighted rankings and the weighted Kemeny distance proposed by García-Lapresta and Pérez-Román (2010), this work proposes τ x w , a new rank correlation coefficient corresponding to the weighted Kemeny distance. The new coefficient is analized analitically and empirically and represents the main…

ranking databoostingweighted Kemeny distancebaggingSettore SECS-S/01 - Statisticalinear mixed modelensemble method
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Il confronto fra dati nel tempo: i numeri indice

2009

rapporti statistici numeri indice semplici e compostiSettore SECS-S/03 - Statistica Economica
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