paris21
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PARIS21. Task Force On Statistical Capacity. IMF Statistics Department May 21, 2001. Premise of the presentation. Measuring statistical capacity Equals Assessing data quality. Plan of the presentation. Background Description of the framework Current and potential uses of the framework - PowerPoint PPT PresentationTRANSCRIPT
PARIS21
Task Force On Statistical Capacity
IMF Statistics Department
May 21, 2001
2
Premise of the presentation
Measuring statistical capacity
Equals
Assessing data quality
3
Plan of the presentation Background Description of the framework Current and potential uses of the
framework Concluding remarks
4
BackgroundA framework: its uses dictate that it be:
Comprehensive Balanced between experts’ rigor and
generalists’ bird’s eye view Widely applicable:
Across various stages of statistical development Across the major datasets
Designed to give transparent results Arrived at by drawing on national statisticians’
best practices
5
Dataset
(6-digit)
“Lite”Generic
(3-digit) Summary of
Results
DatasetSpecific
(5-digit)
NA
etc
.
BO
P GFS
etc
. etc
.
Framework suite of tools
6
Dimensions of data quality
Integrity
Methodological soundness
Accuracy and reliability aand Serviceability
Accessibility
Quality-of-the-Institution
Quality-of-the-product
7
Structure of the frameworkA cascading structure Five dimensions (plus prerequisites) of quality
And for each dimension; Elements that can be used in assessing quality
And for each element; Indicators that are more concrete and detailed;
And for each indicator; Focal issues that are tailored to the dataset
8
Structure of the framework (cont’d)The cascading structure—an example For serviceability, one of the five
dimensions: Four elements are identified as being useful
in assessing that dimension: relevance, timeliness and periodicity, consistency, and revision policy and practice
For consistency, three indicators are identified to provide detail and concreteness for that element: intertemporal, internal, and intersectoral consistency
For internal consistency, the focal issues in [dataset] are…
9
Framework preview Purpose: serve as a diagnostic
preview or for a nonstatistician’s assessment
13 specific (three-digit) indicators were identified (in the handout):
Relatively nontechnical Relatively easy to get information
Formatted (in the handout) as a worksheet
10
Framework summary Summary presentation of results
Purpose: for nonstatisticians—such as policy advisors and potential investors—after a full assessment based on the DQAF
For clarity and comparability (in handout): For each dataset, a one-page table At the two-digit level (21 elements)
On a 4-point scale, from “practice observed” to “practice not observed”
With an “n.A.” Column With a “comments” column
11
Uses of the framework To guide IMF staff
In assessing data for IMF’s use in surveillance and operations;
In preparing ROSCs; and In designing technical assistance
To guide country efforts (including self-assessments) in strengthening statistical capacity
To guide data users—to complement the SDDS and GDDS
12
Concluding remarks General reaction
Welcome initiative Fills important gap Is careful and thoughtful Provides basis for coherent and
practical way forward in a complex field