1 / 16

Statistics on services in the context of business statistics optimisation process

This article discusses the current situation, changes in data production, new measures, and quality evaluation in the field of business statistics optimization. The focus is on investment in the future of statistics.

ahess
Download Presentation

Statistics on services in the context of business statistics optimisation process

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. Statistics on services in the context of business statistics optimisation process Statistical Office of the Slovak Republic Marianna Stalmaskova

  2. CONTENT • Current situation • Changes in data production • New measures • Quality evaluation • Conclusion Statistics - Investment in the future Prague, 14-15 September 2009

  3. CURRENT SITUATION • Statistical surveys - the only data source for the production of business statistics • Since 2000 – common approach to the statistical enterprise system in the area of market activities = harmonised definitions: = harmonised data processing methods • in all branch statistics industry, construction, trade and market services • in short-term as well as in structural yearly surveys Statistics - Investment in the future Prague, 14-15 September 2009

  4. CURRENT SITUATION • Advantages • comparability in time • comparability among statistical domains • common statistical control system  precondition of data quality • timeliness – important criterion namely in STS • Disadvantages • high burden on respondent enterprises ! Small and micro businesses in services and trade – critical situation • high cost of statistical data production system Statistics - Investment in the future Prague, 14-15 September 2009

  5. DATA PRODUCTION SYSTEM  NEED FOR OPTIMISATION PROCESS Main effort:  Integration of administrative data into statistical data production system focusing mainly on small businesses Administrative data sources (ADS): Annual income tax declaration including attachments: profit-loss inquiry, balance sheet Statistics - Investment in the future Prague, 14-15 September 2009

  6. DATA PRODUCTION SYSTEM FIRST STAGE: Activities aiming in the improvement of yearly enterprise survey for small entrepreneurs Coverage – all market non-financial economic activities Use of ADS for the purposes of non-response imputation • direct calculation using particular algorithms • ratios calculated from statistical survey  Statistics - Investment in the future Prague, 14-15 September 2009

  7. DATA PRODUCTION SYSTEM  Use of improved yearly data for the estimation of short- term indicators FINAL RESULT Lessening of the burden on respondents  Substitution of 12 monthly forms by estimation procedure Statistics - Investment in the future Prague, 14-15 September 2009

  8. DATA PRODUCTION SYSTEM NEXT STAGE: Analysis of variables relations in statistical survey aiming in the estimation of variables missing in ADS Estimation model Change in frequency of regular yearly statistical survey • yearly data source: ADS • statistical survey in 3 or 5-year frequency FINAL RESULT • Reduction of cost in SO SR • Lessening of the burden on respondents mainly in services and trade Statistics - Investment in the future Prague, 14-15 September 2009

  9. NEW MEASURES STS variables in services = requirements of STS Regulation 1165/98 in terms of later amendments and implementing measures Coverage: non-financial market services EU needs: 2 quarterly variables: turnover and number of employees National needs: monthly turnover, number of employees wages , quarterly hours worked Statistics - Investment in the future Prague, 14-15 September 2009

  10. NEW MEASURES Services activities: In the responsibility of several separate units Business statistics section • Transport incl. ICT • Retail and wholesale trade incl. HORECA • Selected market activities incl. tourism National accounts section: • Output prices in services  STS variables are compiled separately for particular economic activity in line with unit responsibility Statistics - Investment in the future Prague, 14-15 September 2009

  11. NEW MEASURES Need to obtain the overall picture of development in the area of market services  Aim: to compile index of services production (ISP) analysis of available data at 4-digit level: turnover and relevant price indices Laspeyres index based on: • deflated turnover values • weighting system: value added share Statistics - Investment in the future Prague, 14-15 September 2009

  12. QUALITY EVALUATION Activities already done: • Quality evaluation of PEEI (Principal European Economic Indicators) in the frame of STS – special questionnaires: 1 variable per year • STS grant projects 2004: quality reports on turnover data in trade and services On-going activity: • Experimental quality evaluation in 2009 in co-operation with research institute Infostat  Statistics - Investment in the future Prague, 14-15 September 2009

  13. QUALITY EVALUATION Focused on monthly statistical surveys in trade and services for September 2008 • Exhaustive part – enterprises with 20 and more employees or with turnover higher than 100 mil. SKK • Sample – small enterprises and small entrepreneurs with less than 20 employees or with turnover lower than 100 mil. SKK Variables: turnover and number of employees Quality indicators: coefficient of variation • Non-response rate – unweighted • Item non-response rate • Imputation rate • Overcoverage • Missclassification Statistics - Investment in the future Prague, 14-15 September 2009

  14. QUALITY EVALUATION Aim of this exercise: • To implement regular quality evaluation of short-term indicators in trade and services • To improve data quality mainly in the area of small entrepreneurs • Problems with high non-response rate, overcoverage and missclassification Statistics - Investment in the future Prague, 14-15 September 2009

  15. CONCLUSION Growing importance of services sector Need for: • quality data comparable in time and among relevant statistical domains • new measures to better understand the development of services sector Challenge: To modernise the statistical production system using of ADS and new compilation methods with regard to the higher data quality and lower burden on respondents and NSI Statistics - Investment in the future Prague, 14-15 September 2009

  16. THANK YOU FOR YOUR ATTENTION Contact: Marianna Stalmaskova Business Statistics Section Statistical Office of the Slovak Republic Miletičova 3, 821 08 Bratislava E-mail: Marianna.Stalmaskova@statistics.sk Tel.: 00421 2 50236 267 Statistics - Investment in the future Prague, 14-15 September 2009

More Related