Business and Economics > Information Management

You are looking at 1 - 3 of 3 items for :

  • Type: Journal Issue x
  • Infectious & contagious diseases x
Clear All Modify Search
International Monetary Fund. Asia and Pacific Dept
This Selected Issues paper on Solomon Island discusses big data and high frequency surveillance for Pacific Islands countries (PICs). Big data can be used to fill data gaps for PICs and the IMF can serve as a capacity-building and innovation hub. The estimators computed based on AIS data have been used as part of the surveillance dashboard by the Solomon Islands team and have been discussed with the authorities. Initiatives like the Arslanalp, Koepke, and Verschuur estimation exploit cross-country synergies and technical expertise available at the IMF to provide valuable inputs for both internal and external use. Other potential applications of the Automatic Identification System (AIS) can expand on this effort, for example, some single-country applications are monitoring of fishing vessels to estimate fishing rents from daily vessel schemes, monitoring export-related ships to monitor for piracy/exports misreporting, track tourism in real time, etc. Given the global nature of the AIS data, it can also be used to analyze global supply chains, trade disruptions from natural disasters, the effect of trade policies, etc.
International Monetary Fund. Independent Evaluation Office

Abstract

Capacity development (CD) is a key function of the IMF, aiming to assist its member countries develop their institutional and human capacity to design and implement sound macroeconomic and financial policies. CD has been provided to all IMF member countries at some point, although it is directed mainly toward low- and middle-income countries. CD represents about one-third of the IMF’s administrative budget, having expanded substantially in the past decade. This evaluation assesses how effective the IMF has been in meeting the CD needs and expectations of recipient countries, and the Fund’s institutional objectives for CD, during 2012-20. It also provides an initial review of how IMF CD adapted to the challenges of the COVID-19 pandemic. The evaluation finds that IMF CD was relevant, valued, and broadly effective. Recipients, donors, and the wider membership saw IMF CD as being of the highest technical quality in the Fund’s core areas of expertise and generally perceived that it had become better tailored to recipient needs and circumstances. Overall, Fund CD has supported member countries in building the institutional capacity, in a very wide range of country circumstances. The IMF has also put substantial effort into integrating CD with surveillance and programs, which has in general enhanced its overall engagement with member countries. While recognizing these achievements, the evaluation also identifies a number of important shortcomings and challenges. The evaluation includes recommendations to enhance the strategic framework for, and prioritization of, CD; information available to Executive Directors and opportunities to exercise their oversight role; the integration of CD with surveillance and programs, particularly in the context of programs; CD ownership and delivery; the monitoring and evaluation framework; the sustainability of the CD funding model; and HR policies and incentives to maintain and develop the expertise in the Fund’s core and newly emerging CD topics.

Mr. Paul A Austin
,
Mr. Marco Marini
,
Alberto Sanchez
,
Chima Simpson-Bell
, and
James Tebrake
As the pandemic heigthened policymakers’ demand for more frequent and timely indicators to assess economic activities, traditional data collection and compilation methods to produce official indicators are falling short—triggering stronger interest in real time data to provide early signals of turning points in economic activity. In this paper, we examine how data extracted from the Google Places API and Google Trends can be used to develop high frequency indicators aligned to the statistical concepts, classifications, and definitions used in producing official measures. The approach is illustrated by use of Google data-derived indicators that predict well the GDP trajectories of selected countries during the early stage of COVID-19. To this end, we developed a methodological toolkit for national compilers interested in using Google data to enhance the timeliness and frequency of economic indicators.