1 / 11

Quality indicators for statistics based on multiple sources

Quality indicators for statistics based on multiple sources. Mihaela Agafiţei , Fabrice Gras, Wim Kloek , Sorina Vâju Eurostat, European Commission. Content. Introduction Quality of statistics – general discussion Output quality assessment – input and process

kyne
Download Presentation

Quality indicators for statistics based on multiple sources

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 indicators for statistics based on multiple sources Mihaela Agafiţei, Fabrice Gras, WimKloek, Sorina Vâju Eurostat, European Commission

  2. Content Introduction Quality of statistics – general discussion Output quality assessment – input and process Direct output quality assessment Conclusions Quality indicators for statistics based on multiple sources Mihaela Agafiţei, Fabrice Gras, WimKloek, Sorina Vâju (Eurostat, European Commission) Q2014 – Vienna – 5th of June, 2014 Session No 32 - Statistics beyond survey and administrative data 2/11

  3. 1. Introduction Quality indicators for statistics based on multiple sources Mihaela Agafiţei, Fabrice Gras, WimKloek, Sorina Vâju (Eurostat, European Commission) Q2014 – Vienna – 5th of June, 2014 Session No 32 - Statistics beyond survey and administrative data 3/11

  4. 2. Quality of statistics – general discussion Quality indicators for statistics based on multiple sources Mihaela Agafiţei, Fabrice Gras, WimKloek, Sorina Vâju (Eurostat, European Commission) Q2014 – Vienna – 5th of June, 2014 Session No 32 - Statistics beyond survey and administrative data 4/11

  5. 2. Quality of statistics – general discussion Quality indicators for statistics based on multiple sources Mihaela Agafiţei, Fabrice Gras, WimKloek, Sorina Vâju (Eurostat, European Commission) Q2014 – Vienna – 5th of June, 2014 Session No 32 - Statistics beyond survey and administrative data 5/11

  6. 3. Output quality assessment: input and process • Not feasible: • multiple sources • multiple uses • large and complex processes • certainly at the European level Quality indicators for statistics based on multiple sources Mihaela Agafiţei, Fabrice Gras, WimKloek, Sorina Vâju (Eurostat, European Commission) Q2014 – Vienna – 5th of June, 2014 Session No 32 - Statistics beyond survey and administrative data 6/11

  7. 3. Output quality assessment: input and process Quality indicators for statistics based on multiple sources Mihaela Agafiţei, Fabrice Gras, WimKloek, Sorina Vâju (Eurostat, European Commission) Q2014 – Vienna – 5th of June, 2014 Session No 32 - Statistics beyond survey and administrative data 7/11

  8. 4. Direct output quality assessment • Direct assessment of output quality from the output itself • Assessment of output quality with a common reference data source • Bootstrapping • Not replacing the input + process approach Quality indicators for statistics based on multiple sources Mihaela Agafiţei, Fabrice Gras, WimKloek, Sorina Vâju (Eurostat, European Commission) Q2014 – Vienna – 5th of June, 2014 Session No 32 - Statistics beyond survey and administrative data 8/11

  9. 4. Direct output quality assessment • Direct assessment of output quality from the output itself • time series or cross-sectional data • breaks in series are a direct indication of bias • revisions • outliers • Assessment of output quality with a common reference data source • quality survey • additional statistics or administrative sources with considerable conceptual harmonisation Quality indicators for statistics based on multiple sources Mihaela Agafiţei, Fabrice Gras, WimKloek, Sorina Vâju (Eurostat, European Commission) Q2014 – Vienna – 5th of June, 2014 Session No 32 - Statistics beyond survey and administrative data 9/11

  10. 4. Direct output quality assessment Methods derived from bootstrapping Quality indicators for statistics based on multiple sources Mihaela Agafiţei, Fabrice Gras, WimKloek, Sorina Vâju (Eurostat, European Commission) Q2014 – Vienna – 5th of June, 2014 Session No 32 - Statistics beyond survey and administrative data 10/11

  11. 5. Conclusions • Output quality assessment through input and process quality gets too complex in processes combining several sources, especially at the European level • Alternative solutions should be found: • direct output assessment • a common reference source • bootstrapping • Output quality assessment: • internal use: to monitor and improve statistical production process • external use: a coherent summary of information on quality output • Assessing quality is not for free Quality indicators for statistics based on multiple sources Mihaela Agafiţei, Fabrice Gras, WimKloek, Sorina Vâju (Eurostat, European Commission) Q2014 – Vienna – 5th of June, 2014 Session No 32 - Statistics beyond survey and administrative data 11/11

More Related