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“Process of policy development is lengthy
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səhifə | 6/15 | tarix | 06.03.2018 | ölçüsü | 521 b. | | #44921 |
| “Process of policy development is lengthy - Research and analysis required to understand when and where policy change and reform are needed
- Designing policy
- Developing consensus (political, public)
We rely on high quality and timely data throughout the process”
“Identify and close data gaps “Identify and close data gaps Priority to long term issues and trends But there is a need to be able to adapt to current developments, if possible Consult users - Government, private sector, researchers”
In assessing economic development In assessing economic development In designing financial and monetary policy decisions In making investment decisions
Don Drummond, Chief Economist of Toronto Dominion Bank, Canada, opening the International Seminar, mentioned above: Don Drummond, Chief Economist of Toronto Dominion Bank, Canada, opening the International Seminar, mentioned above: - "I would rather have no data than wrong data."
…with the central users of Short-term economic statistics …with the central users of Short-term economic statistics A great deal of trust for Canadian Statistics was expressed in the services of Statistics Canada on STS At the same time, the following improvements were required:
Other issues that came up in this consultation with the main stakeholders: Other issues that came up in this consultation with the main stakeholders: A worry that a NSO should not rush into short-term data collection without the usual testing of the instrument
Short-term economic statistics ARE important and their importance is growing Short-term economic statistics ARE important and their importance is growing - Not only as a service item
- But also for building up the image and the reputation of the statistical agency as an important, accurate and timely information provider
Identifying turning points in the economic cycle is one of the most important functions - Availability and comparability of long term time series and seasonal adjustment of fixed term indices are of top importance
Understand your audiences’ specific needs by better communication
STS Compilation with Multiple Data Sources
Anu Peltola Economic Statistics Section, UNECE
Overview Data collection - Sampling
- Administrative data
- Combining multiple data sources
Compilation of results Publication Improvement
Theoretical Concept – A Key to Good Quality Define the purpose of an indicator Links to the real world - What should it describe?
- Who are the users/uses (internal/external)?
- Possible data sources
Links to other statistics - Differences in concepts, scope, methods
- Goal variables – national accounts/SBS
- Regular benchmarking
- Follow-up of differences
Production Process Bring the collected data to the level of the intended statistical output!
Data Collection Statistical Units Corner stones of business statistics - Legal unit -> enterprise (services) -> enterprise groups
- Establishment (for industry/construction)
Business registers are fundamentally important - Bridge between administrative and statistical units
- The economic activity class (ISIC/NACE)
- Improve its comprehensiveness – use as a frame
- Examine opportunities to use administrative data
- Interactive: update with information from STS
System of Statistics
Give clear instructions Give clear instructions - Explain the concepts to the respondents
Revisions to earlier months - Aim to pre-fill the questionnaire with data given earlier
- Leave space for reporting revisions
Inform the respondents of the use of data Develop useful feedback for respondents - your company compared to others in the same activity
Many surveys are for units above a size threshold Many surveys are for units above a size threshold - Burdensome and problems with the coverage of small units
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