Counterfactual Distribution Dynamics across European Regions

This paper proposes a methodology which combines elements of parametric regression analysis with the nonparametric distribution dynamics approach in order to analyse the role of some variables in the convergence of productivity across European regions over the period 1980-2002. We find that the initial productivity crucially accounts in the convergence process across European regions. Differently, employment growth seems not to play a role, while the Structural and Cohesion Funds seem to play a positive role, even though such effect seems to be very low and statistically significant only at the low bound of the range of initial productivity. The structural change of regional economies plays a positive role, but such effect is statistically significant only for the least productive regions. The output composition of a region in 1980 affects the convergence process of productivity growth in several ways. In particular, the share of non market services on output acts like a source of convergence from 1980 to 2002 but in the long-run it plays a negligible role. Finally, the share of finance acts like a force of divergence across European regions, especially for the least productive regions

On the Determinants of Distribution Dynamics

n this paper we propose a novel approach to identify the impact of growth determinants on the distribution dynamics of productivit y. Our approach integrates counterfactual analysis with the estima tion of stochastic kernels. The counterfactuals are constructed from a semi-parametric growth regression, in which the cross-section heterogeneity in the growth determinants is removed. The methodology also allows us to test for potential distributional effects in the residuals. We illustrate the usefulness of the proposed methodology by an application to a cross-section of countries, which highlights the significant impact on inequality and polarization in the world productivity distribution of growth determinants from an augmented Solow model

On the Determinants of Distribution Dynamics

n this paper we propose a novel approach to identify the impact of growth determinants on the distribution dynamics of productivit y. Our approach integrates counterfactual analysis with the estima tion of stochastic kernels. The counterfactuals are constructed from a semi-parametric growth regression, in which the cross-section heterogeneity in the growth determinants is removed. The methodology also allows us to test for potential distributional effects in the residuals. We illustrate the usefulness of the proposed methodology by an application to a cross-section of countries, which highlights the significant impact on inequality and polarization in the world productivity distribution of growth determinants from an augmented Solow model

DEEP AND PROXIMATE DETERMINANTS OF THE WORLD INCOME DISTRIBUTION

This paper studies the deep and proximate determinants of the evolution of the cross‐country distribution of GDP per worker in the period 1960–2008 by a novel method based on an information criterion. We find that countries of our sample follow three distinctive growth regimes identified by two deep determinants, namely life expectancy at birth in 1960 and the share of Catholics in 1965, and that each regime is characterized by non‐linearities. Growth regimes appear to be the main cause of the increased inequality and polarization, while technological catch‐up, proxied by the initial level of GDP per worker, acts in the opposite direction. Finally, human capital marginally reduces polarization, while investment rates and employment growth have no distributional effect

A multicenter study on reliability and validity of a new triage system: the Triage Emergency Method version 2

In Italy there are many triage guidelines and methods based on consensus. But, to our knowledge, there are few data on the reliability and predictive validity of triage systems adopted by Italian emergency departments. The Triage Emergency Method version 2 (TEM v2) is a new four-level in-hospital triage system. This paper presentes a before-and-after observational study performed using triage scenarios from June 2008 to September 2009 in 6 Italian emergency departments. Twelve nurses who received a 5-h training on TEM and a panel of experts on TEM assigned priority code to 66 scenarios. To test the inter-rater reliability among participants and the panel of experts (before and after the course), we used the weighted K statistic. We assessed the validity of TEM by calculating sensitivity, specificity and accuracy for predicting the reference standard's triage score. The TEM v2 showed good and very-good agreement among all 6 groups of nurses with a K range=0.61-1. Also, sensitivity, specificity and accuracy of nurses' triage rating for predicting the reference standard's triage code was good (accuracy range=78-90%). In this multicenter study, TEM v2 has a good inter-rater reliability for rating triage acuity among all groups of participating nurses, with a K value similar to the reference standard reliability (K=0.75). Thus, the Triage Emergency Method version 2 seems to be valid and accurate in predicting a reference standard rating

Multicenter observational study on the reliability of the HEART score

Objective To rapidly and safely identify the risk of developing acute coronary syndrome in patients with chest pain who present to the emergency department, the clinical use of the History, Electrocardiogram, Age, Risk Factors, and Troponin (HEART) scoring has recently been proposed. This study aimed to assess the inter-rater reliability of the HEART score calculated by a large number of Italian emergency physicians. Methods The study was conducted in three academic emergency departments using clinical scenarios obtained from medical records of patients with chest pain. Twenty physicians, who took the HEART score course, independently assigned a score to different clinical scenarios, which were randomly administered to the participants, and data were collected and recorded in a spreadsheet by an independent investigator who was blinded to the study\u2019s aim. Results After applying the exclusion criteria, 53 scenarios were finally included in the analysis. The general inter-rater reliability was good (kappa statistics [\u3ba], 0.63; 95% confidence interval, 0.57 to 0.70), and a good inter-rater agreement for the high- and low-risk classes (HEART score, 7 to 10 and 0 to 3, respectively; \u3ba, 0.60 to 0.73) was observed, whereas a moderate agreement was found for the intermediate-risk class (HEART score, 4 to 6; \u3ba, 0.51). Among the different items of the HEART score, history and electrocardiogram had the worse agreement (\u3ba, 0.37 and 0.42, respectively). Conclusion The HEART score had good inter-rater reliability, particularly among the high- and low-risk classes. The modest agreement for history suggests that major improvements are needed for objectively assessing this component. Keywords HEART score; HEART pathway; Chest pain; Acute coronary syndrome; Emergency service, hospita

L'elisir d'amore

Direcció: Mario ParentiEmpresa: Juan A. PamiasDe cada obra s'ha digitalitzat un programa sencer. De la resta s'han digitalitzat les parts que són diferents

Norma

Direcció: Mario ParentiEmpresa: Juan A. PamiasDe cada obra s'ha digitalitzat un programa sencer. De la resta s'han digitalitzat les parts que són diferents

La Fanciulla del West

Direcció: Mario ParentiEmpresa: Juan A. PamiasDe cada obra s'ha digitalitzat un programa sencer. De la resta s'han digitalitzat les parts que són diferents