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| 1. |
The data: coverage, periodicity, and timeliness: Comprehensive economic and financial data, disseminated on
a timely basis, are essential to the transparency of macroeconomic performance and policy. |
| | Dissemination of economic and financial data categories as prescribed in the table The Data: Coverage, Periodicity, and Timeliness (as relevant for the country), with the components, the periodicity, and the timeliness indicated. |
| 2. |
Access by the public: Dissemination of official statistics is an essential feature of statistics as a public good. Ready and equal access are principal requirements for the public, including market participants. |
| | a. | Advance dissemination of release calendars |
| | b. | Simultaneous release to all interested parties |
| 3. |
Integrity: To fulfill the purpose of providing the public with information, official statistics must have the confidence of their users. In turn, confidence in the statistics ultimately
becomes a matter of confidence in the objectivity and professionalism of the agency producing the statistics. Transparency of its practices and procedures is a key factor in creating this confidence. |
| | a. | Dissemination of the terms and conditions under which official statistics are produced, including those relating to the confidentiality of individually identifiable information. |
| | b. | Identification of internal government access to data before release. |
| | c. | Identification of ministerial commentary on the occasion of statistical releases. |
| | d. | Provision of information about revision and advance notice of major changes in methodology. |
| 4. |
Quality: A set of standards that deals with the coverage, periodicity, and timeliness of data must also address the quality of statistics. Although quality is difficult to judge, monitorable proxies, designed to focus on information the user needs to judge quality, can be useful. |
| | a. | Dissemination of documentation on methodology and sources used in preparing statistics. |
| | b. | Dissemination of component detail, reconciliations with related data, and statistical frameworks that support statistical cross-checks and provide assurance of reasonableness. |
Dissemination
