1 / 5

Quality criteria for official statistics

Explore the evaluation criteria for official statistics such as relevance, accuracy, timeliness, and more. Headline indicators and examples showcase the importance of quality data in decision-making.

stanleyjason
Download Presentation

Quality criteria for official statistics

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Quality criteria for official statistics • Relevance: the degree to which statistics meet current and potential needs of the users • Accuracy: the closeness of estimates to the unknown true values • Timeliness: the period between the availability of the information and the event or phenomenon it describes • Punctuality: the delay between the date of the release of the data and the target date (the date by which the data should have been delivered • Accessibility and clarity: the conditions and modalities by which users can obtain, use and interpret data • Comparability: the measurement of the impact of differences in applied statistical concepts, measurement tools and procedures where statistics are compared between geographical areas, sectoral domains or over time • Coherence: the adequacy of the data to be reliably combined in different ways and for various uses

  2. Headline indicators

  3. Evaluation of the changes for indicators without quantitative target(case of desired direction: growth)

  4. Evaluation of the changes for indicators with quantitative target

  5. Evaluation of decouplingExample of Resource productivity - Changes since 2000 No decoupling would have occurred if DMC would have increased as much or more than the GDP Relative decoupling took place because DMC increased less than GDP Absolute decoupling would have occurred if DMC would have been stable or would have decreased

More Related