Front Matter

Front Matter Page

Statistics Department

Contents Page

  • I. Introduction

  • II. Background to the Framework

    • A. The Stimuli

    • B. A Two-Pronged Approach

  • III. The Emerging Framework

    • A. The Generic Quality Framework

    • B. The Dataset-Specific Frameworks

    • C. Moving Forward: Responding to and Seeking Further Comment

      • “Lite” versions of the framework and summaries

      • Applications of the frameworks

  • IV. The Work Ahead

  • Tables

  • 1. A Nonstatistician’s Diagnostic Preview of the Generic Data Quality Assessment Framework

  • Boxes

  • 1. The Dimensions of Data Quality in the Assessment Framework

  • 2. Some Applications of the Framework

  • Annexes

  • 1. Data Quality Assessment Framework—Generic Framework

  • 2. The Relation between the IMF Data Dissemination Initiative and the Data Quality Assessment Framework

  • 3. A Framework for Assessing the Quality of Balance of Payments Statistics

  • Preface

  • Introduction

  • Prerequisites of quality

    • 0.1 Legal and institutional environment

  • 0.1.1 Responsibility for statistics

  • 0.1.2 Data sharing and coordination

  • 0.1.3 Confidentiality of respondents’ data

  • 0.1.4 Statistical reporting

    • 0.2 Resources

      • 0.2.1 Staff, financial, and computing resources

      • 0.2.2 Cost-effectiveness

  • 0.3 Quality awareness

    • 0.3.1 Processes to focus on quality, to monitor quality, to deal with tradeoffs, and to inform planning

  • 1. Integrity

    • 1.1 Professionalism

      • 1.1.1 Impartial basis

      • 1.1.2 Choices of sources and methods

      • 1.1.3 Comment on erroneous interpretation and misuse of statistics

    • 1.2 Transparency

      • 1.2.1 Terms and conditions available to the public

      • 1.2.2 Internal government access prior to release

      • 1.2.3 Products identified

      • 1.2.4 Advance notice of major changes

    • 1.3 Ethical standards

      • 1.3.1 Guidelines for staff behavior

  • 2. Methodological soundness

    • 2.1 Concepts and definitions

      • 2.1.1 Concepts and definitions in balance of payments statistics

    • 2.2 Scope

      • 2.2.1 Scope of balance of payments statistics

    • 2.3 Classification/sectorization

      • 2.3.1 Classification/sectorization in balance of payments statistics

    • 2.4 Basis for recording

      • 2.4.1 Accrual basis

      • 2.4.2 Market prices

      • 3. Accuracy and reliability

    • 3.1 Source data

      • 3.1.1 Comprehensive data collection programs

      • 3.1.2 Source data reasonably approximate the definitions, scope, classification, timing of recording, and valuation required

      • 3.1.3 Timely

  • 3.2 Statistical techniques

    • 3.2.1 Data compilation procedures employ sound statistical methods

    • 3.3 Assessment and validation

      • 3.3.1 Source data routinely assessed

      • 3.3.2 Main intermediate results validated

      • 3.3.3 Statistical discrepancies investigated

  • 4. Serviceability

    • 4.1 Relevance

      • 4.1.1 Processes to monitor

    • 4.2 Timeliness and periodicity

      • 4.2.1 Periodicity

      • 4.2.2 Timeliness

    • 4.3 Consistency

      • 4.3.1 Consistency overtime

      • 4.3.2 Internal consistency

      • 4.3.3 Consistency with other sources and/or statistical frameworks

    • 4.4 Revision policy and practice

      • 4.4.1 Stages of revision and scheduling of release

      • 4.4.2 Identification of preliminary data

      • 4.4.3 Analysis of revisions

  • 5. Accessibility

    • 5.1 Data accessibility

      • 5.1.1 Accessibility and interpretation

      • 5.1.2 Dissemination format

      • 5.1.3 Pre-announced schedule

      • 5.1.4 Simultaneous release to users

      • 5.1.5 Non-confidential sub-aggregates

    • 5.2 Metadata accessibility

      • 5.2.1 Documentation on concepts, scope, classification, basis for recording, data sources, and statistical techniques

      • 5.2.2 Levels of detail

    • 5.3 Assistance to users

      • 5.3.1 Service and support

  • 4. Summaries of Assessments

Preface

Work on this framework for assessing the quality of balance of payments statistics is part of a larger project underway in the Statistics Department of the International Monetary Fund. This draft is being circulated for comment. Comments are welcome in any form; see the contact persons identified on the cover.

A Framework for Assessing the Quality of Balance of Payments Statistics was developed by a team that consisted of Thomson Fontaine, Michelle Hassine, Natalia Ivanik, John Motala, and Beatrice Timmermann.

Toward a Framework for Assessing Data Quality
Author: Mrs. Carol S Carson