Suchergebnisse

El sistema de salud colombiano ha experimentado transformaciones importantes en las últimas décadas. En la medida en que en algunos casos los avances logrados en materia de cobertura y en los indicadores del estado de salud de la población muestran diferencias entre las regiones del país, el Centro de Estudios Económicos Regionales (CEER) desarrolló una agenda de investigación en esta área. Este documento tiene dos propósitos: (i) sintetizar los principales resultados que en esta materia arrojan los estudios del CEER; y (ii) presentar las recomendaciones de política que surgen del análisis de la problemática regional del sector salud. El trabajo concluye que aún existen algunas disparidades regionales en el estado de salud, la oferta de servicios y el acceso a los mismos. Un mayor esfuerzo para reducir esas diferencias debería ser una prioridad de la política de salud pública en Colombia. ; The Colombian health system has undergone major transformations in recent decades. Since there is evidence that shows the progress made in terms of coverage and indicators of the health status of the population varies among regions, the Center for Regional Economic Studies (CEER) developed a research agenda in this topic. This document has two purposes: (i) to synthesize the main results of the CEER´s work; and (ii) to provide some policy recommendations arising from this analysis. The paper concludes that there are still some regional disparities in health status, the supply of services and access to them. An additional effort to reduce those differences should be a priority of public health policy in Colombia.

International audience We study the impact of sovereign risk on the credit risk of the non-financial corporate sector in the Eurozone using credit default swap data. We show that an increase in sovereign credit spreads is associated with a statistically and economically significant increase in corporate spreads and, hence, firms' borrowing costs. A deterioration in a country's credit quality affects more adversely firms that are more likely to benefit from government aid, those whose sales are more concentrated in the domestic market, and those that rely more heavily on bank financing. Our findings suggest that government guarantees, domestic demand, and credit markets are important credit risk transmission mechanisms.

197 217 84 2 ; S ; The search space of SLD resolution, usually represented by means of a so-called SLD tree, is often infinite. However, there are many applications that must deal with possibly infinite SLD trees, like partial evaluation or some static analyses. In this context, being able to construct a finite representation of an infinite SLD tree becomes useful. In this work, we introduce a framework to construct a finite data structure representing the (possibly infinite) SLD derivations for a goal. This data structure, called closed SLD tree, is built using four basic operations: unfolding, flattening, splitting, and subsumption. We prove some basic properties for closed SLD trees, namely that both computed answers and calls are preserved. We present a couple of simple strategies for constructing closed SLD trees with different levels of abstraction, together with some examples of its application. Finally, we illustrate the viability of our approach by introducing a test case generator based on exploring closed SLD trees. This work has been partially supported by the EU (FEDER) and the Spanish Ministerio de Economia y Competitividad (Secretaria de Estado de Investigacion, Desarrollo e Innovacion) under grant TIN2013-44742-C4-1-R and by the Generalitat Valenciana under grant PROMETEO/2011/052. Nishid, N.; Vidal Oriola, GF. (2015). A Framework for Computing Finite SLD Trees. Journal of Logical and Algebraic Methods in Programming. 84(2):197-217. https://doi.org/10.1016/j.jlamp.2014.11.006