Narrow Your Choices

Refine By Countries

Refine By Series

Refine By Language

Refine By Date

—

Refine By IMF Taxonomy

Refine By JEL Taxonomy

Refine by LOC Taxonomy

Refine By THEMA Taxonomy

  • Print
  • Save

Business and Economics > Information Management

You are looking at 1 - 6 of 6 items for :

  • Type: Journal Issue x
  • Data Collection and Data Estimation Methodology; Computer Programs: Other x
Clear All Modify Search
Cover Selected Issues Papers
Public Procurement in South Africa: Issues and Reform Options
Mr. Alejandro Simone
and
Vybhavi Balasundharam
The 2015 Supply Chain Management Review lays out a sound agenda for procurement reform. The ongoing work on a new procurement bill and regulations are an important opportunity to spearhead procurement reform and step-up implementation. Several important reform aspects worth prioritizing are the simplification and standardization of aprocurement procedures, the standardization of transparency requirements through the adoption of the Open Contracting Data Standards, transitioning to a new e-procurement system that is linked to the government’s integrated financial management information system (IFMIS) and other systems, making preferential procurement more cost effective and goal oriented, and strengthening staff capacity to carry out procurement. Opportunities to centralize procurement should be further explored to leverage and develop limited capacity.
Keywords:
National Government Expenditure; Performance of Government; Public Goods; Public Procurement; Expenditure efficiency; procurement reform; reform option; e-procurement system; step-up implementation; procurement contract; Public sector; Integrated financial management information systems; Open data; Africa
Cover IMF Working Papers
Building Statistical Capacity in Fragile and Conflict-Affected States
Yasmin Alem
and
Jacinta Bernadette Shirakawa
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.
Keywords:
Capacity Development; Statistics; Data; Fragile States; Sta CD mission; government finance statistics manual; Sta CD delivery; Sta CD spending; World Bank methodology assessment; Income; Government finance statistics; External sector statistics; Information and data management; Middle East and Central Asia; Pacific Islands; Middle East; West Africa; Africa; Central Africa; Global
Cover IMF Staff Country Reports
Indonesia: Technical Assistance Report – Residential Property Price Statistics Capacity Development Mission
International Monetary Fund. Statistics Dept.
Technical Assistance Report – Residential Property Price Statistics Capacity Development Mission
Keywords:
ISCR; CR; price index; residential property price index; commercial property price index; mortgage data; rent price index; sales-price indexes; bank Indonesia CPPI; big data project; Price indexes; Land prices; Big data; Real estate prices; Real sector statistics
Cover Staff Discussion Notes
Big Data: Potential, Challenges and Statistical Implications
Cornelia Hammer
,
Ms. Diane C Kostroch
, and
Mr. Gabriel Quiros-Romero
Big data are part of a paradigm shift that is significantly transforming statistical agencies, processes, and data analysis. While administrative and satellite data are already well established, the statistical community is now experimenting with structured and unstructured human-sourced, process-mediated, and machine-generated big data. The proposed SDN sets out a typology of big data for statistics and highlights that opportunities to exploit big data for official statistics will vary across countries and statistical domains. To illustrate the former, examples from a diverse set of countries are presented. To provide a balanced assessment on big data, the proposed SDN also discusses the key challenges that come with proprietary data from the private sector with regard to accessibility, representativeness, and sustainability. It concludes by discussing the implications for the statistical community going forward.
Keywords:
SDN; big data data source; strategy action plan; innovation challenge; big data application; big data classification; big data project; IMF big data; private sector; project inventory; Big Data; Macroeconomic and Financial Statistics; Official Statistics; Data Quality; Surveillance; statistics big data strategy action plan; big data data analysis; big data network; big data revolution; big data use; Social networks; Financial statistics; Global
Cover Policy Papers
Implementation Plan in Response to the Board-Endorsed Recommendations for the IEO Report “Behind the Scenes with Data at the IMF: An IEO Evaluation”
International Monetary Fund
This paper sets out Management’s response to the Independent Evaluation Office’s (IEO) report entitled Behind the Scenes with Data at the IMF: An IEO Evaluation. The implementation plan proposes specific actions to address the recommendations of the IEO that were endorsed by the Board in its March 17, 2016 discussion of the IEO’s report, namely: (i) develop a long-term strategy for data and statistics at the Fund; (ii) define and prioritize the Fund’s data needs and support data provision by member countries accordingly; (iii) reconsider the role and mandate of the Statistics Department; (iv) reexamine the staff’s structure of incentives in the area of data management; (v) make clear the limits of IMF responsibility regarding the quality of disseminated data, and clarify the distinction between “IMF data” and “official data.” The implementation of some of these proposed actions is already underway. The paper also explains how implementation will be monitored.
Keywords:
PP; Fund; data management; data management structure
Cover IMF Staff Country Reports
Pakistan: Report on the Observance of Standards and Codes—Data Module, Reassessment of Monetary Statistics; Response by the Authorities; and Detailed Assessment Using Quality Assessment Framework (DQAF)
International Monetary Fund
This paper discusses key findings of the Report on the Observance of Standards and Codes on Data Module for Pakistan. Based on the review of Pakistan’s statistical practices, recommendations are made that are aimed at strengthening Pakistan’s adherence to the internationally accepted practices, as well as at enhancing the usefulness of its monetary statistics. For the central bank’s survey, it is recommended to revalue the State Bank of Pakistan’s Fund positions and gold assets on a monthly basis at end-month market exchange rates and market gold prices.
Keywords:
ISCR; CR; fund position; data; data revision policy; SBP staff; market gold price; ROSC data Module; SBP's website; finance department of SBP; Monetary statistics; Big data; Commercial banks; Financial statements; Data collection