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Industrialization in
official statistics
A view on quality reporting and
sufficient quality
Max Booleman, Kees Zeelenberg
NTTS 2013, Brussels
Industrialization, sufficient quality
Content
• Industrialization: car industry vs statistical
production
• Quality reporting
• Sufficient quality: accountancy world
• Recommendations
• Conclusions
Industrialization
• All the same, every
time the same
• Constant quality
• Also for components
• Design separated
from production
Industrialization, sufficient quality
Industrialization
• Less human intervention
• Set specifications, install assembling line,
interpret
Industrialization, sufficient quality
Industrialization
• Specifications:
concepts and
quality
• Some flexibility
Industrialization, sufficient quality
Improve process quality
• Efficiency gain: same for less
• Increase robustness: less product and
process variation
And if
• Process quality is not according pre-set
process specifications or
process is not able to meet the product
specifications
Industrialization, sufficient quality
Improve product quality
Only if
• Pre-set quality level not met (yet)
• Corrections (ex post failures)
Otherwise it leads to
• change in specifications: new quality level
• specify needs
• process redesign
Industrialization, sufficient quality
Quality reporting
If we produce products
• with constant quality
• according specifications which
• include tolerances
Then no need for individual quality report
Only if specifications are not met: action with
warning
Industrialization, sufficient quality
Industrialization and sufficient quality
Pre-set in specifications:
• Quality level
• Tolerances
But how to set the ex-ante Quality level?
Industrialization, sufficient quality
Sufficient quality
• Specify needs and design phase
(GSBPM): intended use
• Monitor actual use
The quality of statistical information is
insufficient if a better figure resulted into
another decision.
Industrialization, sufficient quality
Example: Government deficit and debt
The quality is too low if
• Indicator >3% when reality <3%
• Indicator <3% when reality >3%
In case of contributions: explicit ex ante
quality with users
Industrialization, sufficient quality
Statistics production vs Car industry
• Really the same?
• Input quality constant?
• Interpret
• Flexibility
Industrialization, sufficient quality
Recommendations
• Formulate intended use
• Monitor actual use
• Aim constant quality
• Look out for similarities outside statistics
• Quality check: all ways
• Quality report: include in specifications
• Quality outside tolerances: action
Industrialization, sufficient quality
Conclusions (1)
• Industrialization needed for efficiency
• Standardisation needed for flexibility
Constant quality improves quality
Industrialization, sufficient quality
Conclusions (2)
• Quality level: depends on use
• Output channels: use oriented
• Sufficient quality:
The quality of statistical information is
insufficient if a better figure resulted into
another decision.
Industrialization, sufficient quality
Thank you for your attention
We don't make them like that anymore
and it's a good job too!
Max Booleman, senior methodologist and Quality Co-ordinator at Statistics Netherlands; e-mail: [email protected]
Kees Zeelenberg, Director of Methods and Statistical Policies (Chief Statistical Officer) at Statistics Netherlands, e-mail:
Industrialization, sufficient quality
