uality of M ultisource S tatistics Example of Slovenia use of administrative data sources in statistical surveys Barbara Kutin Slatnar Environmental ID: 780930
Download The PPT/PDF document "ESSnet W orkshop on Q" is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
Slide1
ESSnet Workshop on Quality of Multisource Statistics
Example of Slovenia: use of administrative data sources in statistical surveys
Barbara Kutin Slatnar
,
Environmental
Statistics
Division
-
Agriculture
,
Forestry
,
Fishing
and
Hunting
Statistics
Department
E:
barbara.kutin@gov.si
,
www.stat.si
Slide2Introduction
Simple
and
…
Complex
and
…
2
Slide3ContentsWhy we combine different sources in a statistical
survey?Quality elements of administrative data sourcesInfluence of useing multisource on survey implementing
flow
Conclusions
3
Slide4Why we combine different
sources in a statistical survey?4
?
Example
Primary data collection (one statistical questionary)
Multisource statistical survey
Administartive data fully replased primary data collection
Respondents burden
↑
↓
↓
NonResponse
↑
↓
↓
Costs
?
?
↓
Knowledge (methodology, IT, other)
↓
↑
↑
People involved in survey implementation
↓
↑
↓
Complexity of data flow and data editing↓↑↓Time needed for survey implementation↑↑↓
Different
aspects have different weights !
Slide5Example: Comparison of costs between simple and multisource
statistical survey by method of data collection of primary data source
5
Slide62) Quality elements of administrative data sources 6
Administrative sources, which can be used directly, have all the most important characteristics definitions harmonized with statistical (also
reference
dates
or
periods
)
Data from administrative source are available
in time Used administrative data sources contain a single unique identification of unitsSystem of data control
for key variables in administrative
source is sufficientEuropean statistical legislation that allows the use of high-quality, available administrative data sources
Possible access to the documentation of administrative data sourceForm of administartive data which allows easy use of information
Slide77The
Statistical Act (National
level
)
which
provides the use of
administrative
data sources for official statistics It is good to know
in advance: use of administrative data sources is a procces-
lenghty start and daily cooperation.Statistical Office has experienced professionals in the field of methodology of agricultural statistics as well as in the IT field
cooperation between Statistical Office and
owner of adm
. data source is legally
formalized (signed agreement
and tehnical protocols
)
in the
process is
also involved
management of
the
Statistical
Office (
t
his is important especially in the beginning of the process
and on strategic level)participation of the relevant representatives of different ministries (owners of administrative registers) in the statistical advisory committees – if such committees existThe Statistical Office may occasionally organizes joint workshops (participants are all stakeholders: statisticiants, holders of administrative sources, sometimes also data users)What helps to achieve a certain quality targets of administrative data (timeliness, harmonized definitions, available documentation, sufficient data control, ...):
Slide83) Influence
of useing multisource on survey implementing
flow
8
Slide94)
Conclusions
:
What
we
should be aware?
- Guaranteed positive effects of used administrative data:
- Speeding up the collection of data - S
ubstantive harmonization of certain information by the various institutions providing data to users -
lower non-response
- In lot of cases, in
multisource surveys we
will achieve only p
artial relief of reporting units - Always
have backup
scenario for case
of ‚disappeared or changed‘ administartive
data source (statistics should be
undependent
)
- M
ore
complex
work on organization and supervision of the individual steps of the survey: requires specific steps to coordinate work in the broadest working invironment: - a different organizational approach of implementation of specific survey - in all stages of implementation we can expect much more methodological work - grater burden on the stage of technical integration and adoption of data from different data sources
Slide1010
It is very complex, but when
you
implement
thoughtful
process everything runs
smoothly.