Author: Mr.Thomas K. Morrison Publisher: International Monetary Fund ISBN: 1589064429 Category : Business & Economics Languages : en Pages : 68
Book Description
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.
Author: Ms. Stephanie C Medina Cas Publisher: International Monetary Fund ISBN: Category : Business & Economics Languages : en Pages : 53
Book Description
Based on internal data, this paper finds that the capacity development program of the IMF’s Statistics Department has prioritized technical assistance and training to fragile and conflict-affected states. These interventions have yielded only slightly weaker results in fragile states than in other states. However, capacity development is constantly needed to make up for the dissipation of progress resulting from insufficient resources that fragile and conflict-affected states allocate to the statistical function, inadequate inter-agency coordination, and the pervasive impact of shocks exogenous to the statistical system. Greater coordination with other capacity development providers and within the IMF can help partially overcome low absorptive capacity in fragile states. Statistical capacity development is more effective when it is tailored to countries’ level of fragility.
Author: Mr.Sarmad Khawaja Publisher: INTERNATIONAL MONETARY FUND ISBN: 9781451859560 Category : Business & Economics Languages : en Pages : 0
Book Description
This paper suggests a way forward in the effort to measure statistical capacity building by combining features of two tools – the Project Management System, a logical framework methodology that the IMF Statistics Department uses to plan, monitor, and evaluate technical assistance projects, and the Data Quality Assessment Framework, a methodology for assessing data quality that brings together best practices and internationally accepted concepts and definitions in statistics
Author: Mr.Sampawende J Tapsoba Publisher: International Monetary Fund ISBN: 1475552009 Category : Business & Economics Languages : en Pages : 32
Book Description
Few papers have attempted to assess the role of “capacity,” especially in the area of macroeconomic statistics. Consequently, we make an attempt to advance this literature through the construction of a “statistical capacity building index,” and then test its explanatory power on the cyclicality of government spending. Using panel data from 62 developing countries, we find evidence that improvements in this index are associated with less procyclicality of government spending over the period 1990–2012; with the significance of this relationship dependent upon the quality of administrative and technical capacity of budgetary institutions.
Author: Eun Young Kim (Ph. D.) Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
Reliable data and statistics are indispensable tools for identifying policy areas needing attention, shaping appropriate policy interventions, and measuring progress, to make evidence-based decisions in all fields of public policy. In the world of global development, the demand for evidence-based decision making has grown alongside attention to the United Nations’ Data Revolution. However, many national statistical offices in lower income countries still face inadequate resources and capacity to generate, distribute, and utilize national statistics and data. In response to this problem, statistical capacity has increasingly become an important goal in global development, with multinational organizations, international NGOs, and individual countries stepping up to provide assistance toward building statistical capacity in developing countries. The three papers in this dissertation examine three interrelated aspects of statistical capacity building. The first paper investigates the effectiveness of foreign aid for statistical capacity building and the moderating effect of national statistical strategies, alongside other factors that may affect levels of statistical capacity, with a fixed-effects panel regression model. Results suggest that national strategies for statistics are a necessary condition for statistical aid to be effective. Shifting focus to the project implementation level, the second paper conducts a content analysis of project evaluation documents to understand whether and how statistical capacity building projects give consideration to ensuring the sustainability of their outcomes. I find that consideration for sustainability is insufficiently reflected in the contents of project evaluation documents, and suggest ways forward for future projects. The third and final paper looks at the issue of measurement, which is important in all stages of statistical capacity building. Building a risk assessment framework for global performance indicators and applying it to selected statistical capacity measurements, I identify several hazards and urge caution in understanding the potential risks of using these measurements. I also recommend that improvements must be made in the transparency of existing measurements to better facilitate the assessment of risk
Author: Mr.Thomas K. Morrison
Author: 
Author: Ms. Stephanie C Medina Cas
Author: Steve MacFeely
Author: Mr.Sarmad Khawaja
Author: Asian Development Bank
Author: Mr.Sampawende J Tapsoba
Author: 
Author: Eun Young Kim (Ph. D.)
Author: Jacques Loup