Social Science > Demography
Abstract
La labor que dedica el FMI a las normas sobre divulgación de datos abarca dos niveles: el Sistema General de Divulgación de Datos (SGDD), que se aplica a todos los paÃses miembros del FMI, y las Normas Especiales para la Divulgación de Datos (NEDD), para los paÃses que tienen o buscan acceso a los mercados internacionales de capital. El marco del SGDD ofrece a los gobiernos una guÃa sobre el desarrollo general de los datos macroeconómicos, financieros y sociodemográficos fundamentales para el análisis y la formulación de polÃticas en un contexto que, cada vez más, requiere datos estadÃsticos relevantes, exhaustivos y exactos. Esta GuÃa explica la naturaleza, objetivos y funcionamiento del SGDD; qué tipos de datos comprende y cómo participan los paÃses. Brinda a las autoridades estadÃsticas nacionales una herramienta de gestión y un marco para promover una metodologÃa estadÃstica sólida, la compilación de datos con criterios profesionales y la divulgación de datos. Esta GuÃa reemplaza a la versión actualizada en marzo de 2002 e incorpora los Objetivos de Desarrollo del Milenio, de las Naciones Unidas, como elementos especÃficos del componente sociodemográfico del SGDD, desarrollado en colaboración con el Banco Mundial.
Abstract
The IMF's work on data dissemination standards consists of two tiers: the General Data Dissemination System (GDDS), which applies to all IMF member countries, and the Special Data Dissemination Standard (SDDS), for those members having or seeking access to international capital markets. The GDDS framework provide governments with guidance on the overall development of the macroeconomic, financial, and sociodemographic data that are essential for policymaking and analysis in an environment that increasingly requires relevant, comprehensive, and accurate statistical data. This Guide explains the nature, objectives, and operation of the GDDS; the data dimensions it covers; and how countries participate. It provides national statistical authorities with a management tool and a framework to foster sound statistical methodology, professional data compilation, and data dissemination. The Guide supersedes the version updated in March 2002 and incorporates the UN Millennium Development Goals (MDGs) as specific elements of the GDDS sociodemographic component, which was articulated with the collaboration of the World Bank.
Abstract
Les travaux du FMI sur les normes de diffusion des données se font à deux niveaux : le système général de diffusion des données (SGDD), pour tous les pays membres, et la norme spéciale de diffusion des données (NSDD), pour les pays membres qui ont accès, ou cherchent à avoir accès, aux marchés de capitaux internationaux. Le SGDD fournit aux pays des recommandations sur l'établissement des données macroéconomiques, financières et sociodémographiques qui sont essentielles pour l'élaboration de la politique économique et l'analyse dans un environnement où des statistiques pertinentes, détaillées et exactes sont de plus en plus nécessaires. Ce guide explique la nature, les objectifs et le fonctionnement du SGDD, les dimensions des données et les modalités de participation. Il offre aux offices nationaux de statistiques un outil de gestion et une structure qui favorisent la mise en place d'une solide méthodologie statistique, un établissement professionnel des données et la diffusion des données. Le guide remplace la version mise à jour en mars 2002 et intègre les objectifs du millénaire pour le développement (OMD), adoptés dans le cadre des Nations unies, comme éléments spécifiques du volet sociodémographique du SGDD, qui a été élaboré en collaboration avec la Banque mondiale.
Abstract
The IMF's work on data dissemination standards consists of two tiers: the General Data Dissemination System (GDDS), which applies to all IMF member countries, and the Special Data Dissemination Standard (SDDS), for those members having or seeking access to international capital markets. The GDDS framework provide governments with guidance on the overall development of the macroeconomic, financial, and sociodemographic data that are essential for policymaking and analysis in an environment that increasingly requires relevant, comprehensive, and accurate statistical data. This Guide explains the nature, objectives, and operation of the GDDS; the data dimensions it covers; and how countries participate. It provides national statistical authorities with a management tool and a framework to foster sound statistical methodology, professional data compilation, and data dissemination. The Guide supersedes the version updated in March 2002 and incorporates the UN Millennium Development Goals (MDGs) as specific elements of the GDDS sociodemographic component, which was articulated with the collaboration of the World Bank.
Abstract
The IMF's work on data dissemination standards consists of two tiers: the General Data Dissemination System (GDDS), which applies to all IMF member countries, and the Special Data Dissemination Standard (SDDS), for those members having or seeking access to international capital markets. The GDDS framework provide governments with guidance on the overall development of the macroeconomic, financial, and sociodemographic data that are essential for policymaking and analysis in an environment that increasingly requires relevant, comprehensive, and accurate statistical data. This Guide explains the nature, objectives, and operation of the GDDS; the data dimensions it covers; and how countries participate. It provides national statistical authorities with a management tool and a framework to foster sound statistical methodology, professional data compilation, and data dissemination. The Guide supersedes the version updated in March 2002 and incorporates the UN Millennium Development Goals (MDGs) as specific elements of the GDDS sociodemographic component, which was articulated with the collaboration of the World Bank.
Abstract
IMF technical assistance provided by the Statistics Department--toward assisting IMF member countries in developing the ability to provide reliable and comparable economic and financial data on a timely basis to policymakers and markets--has increased more than fourfold over the past decade. This assistance has proven critical in countries building their statistical capacity so as to come into line with international data standards in an increasingly globalized and electronically interconnected world. Statistical Capacity Building: Case Studies and Lessons Learned presents four case studies drawn from experience in three countries in transition to the market, two of which were also in postconflict situations, in the 1990s and early 2000s: Cambodia, Bosnia and Herzegovina, and Ukraine. Issues of setting, institutional and statistical arrangements, strategies, and implementation are examined, and lessons learned.