1. Methods for improving quality of business statistics by wider use of administrative data
Method for improving quality of business statistics by wider use of administrative data
Luxemburg, June 2009

2. administrative burden
Methods for improving quality of business statistics by wider use of administrative data
Method for improving quality of business statistics by wider use of administrative data
The aim of action
meeting users’
requirements
reduction of
administrative burden
on enterprises
data quality
improvement
Luxemburg, June 2009

3. use administrative data for statistical surveys
Method for improving quality of business statistics by wider use of administrative data
The main expected result of the project is to work out methodological solutions which enable to
use administrative data for statistical surveys
on micro-enterprises
direct source of data indirect source of data
resulting in:
reduction of the scope of the questionnaire (both subjective and objective scope),
wider scope of statistical characteristics examined without the increase of administrative burden on enterprises.
Luxemburg, June 2009

4. INDIRECT USAGE OF ADMINISTRATIVE DATA AS A SOURCE
Methods for improving quality of business statistics by wider use of administrative data
Method for improving quality of business statistics by wider use of administrative data
DIRECT SOURCE
INDIRECT USAGE OF ADMINISTRATIVE DATA AS A SOURCE
the use administrative data
to fill survey variables
of additional information (stratification information)
to improve the efficiency of the sample design
for indirect estimations and calculations on the base of micro-enterprises sample survey.
of auxiliary variables
Luxemburg, June 2009

5. What actions have been carried out so far?
Methods for improving quality of business statistics by wider use of administrative data
Method for improving quality of business statistics by wider use of administrative data
What actions have been carried out so far?
Analysis and specification of users’ information needs.
Analysis of the methodological consistency and conformity between administrative and statistical systems.
Project of methodology for direct or indirect usage of administrative data.
Formulation of the principles for data base of micro-enterprises.
Luxemburg, June 2009

6. 1. Analysis and specification of users’ information needs:
Methods for improving quality of business statistics by wider use of administrative data
Method for improving quality of business statistics by wider use of administrative data
1. Analysis and specification of users’ information needs:
Within the framework of the Project there was prepared survey questionnaire for user of statistical information referring to micro-enterprises. It contains following questions:
General information about users of micro-enterprise statistic provided by public statistic;
Information concerning the scope of disseminated data about micro-enterprises for example:
which a field of economy they are interested,
what information about micro-enterprise is or will be useful,
what cross sections are needed,
what publications are of the most interest;
Information concerning quality aspects: about timelines, frequency, comparability, access and usefulness of metadata.
Luxemburg, June 2009

7. Administrative source recognized for potential usage
Methods for improving quality of business statistics by wider use of administrative data
Method for improving quality of business statistics by wider use of administrative data
2. Analysis of the methodological consistency and conformity between administrative and statistical systems.
The MikroPik System was specially designed and built under the Project.
We listed indispensable data sets by means of dedicated software containing the database of administrative systems metadata (MikroPIK).
Terms and classifications
Administrative source
describing variables
recognized for potential usage
for statistical needs
Luxemburg, June 2009

8. Methods for improving quality of business statistics by wider use of administrative data
Method for improving quality of business statistics by wider use of administrative data
System MikroPIK serves verification of terms and classifications between administrative and statistical systems and consists of 3 applications:
MikroPIK Administration – enables the management of people working in this system.
Luxemburg, June 2009

9. Methods for improving quality of business statistics by wider use of administrative data
Method for improving quality of business statistics by wider use of administrative data
MikroPIK Registration enables the registration of statistical and administrative terms and classification
MikroPIK Verification enables comparison between terms and classifications found in statistical and administrative systems
Luxemburg, June 2009

10. Methods for improving quality of business statistics by wider use of administrative data
Method for improving quality of business statistics by wider use of administrative data
Picture 1. Photograph of MikroPIK Registration – concerning the registration of terms from administrative systems
Luxemburg, June 2009

11. Methods for improving quality of business statistics by wider use of administrative data
Method for improving quality of business statistics by wider use of administrative data
Picture 2. Photograph of MikroPIK Registration – concerning the registration of classifications from administrative systems
Luxemburg, June 2009

12. Methods for improving quality of business statistics by wider use of administrative data
Method for improving quality of business statistics by wider use of administrative data
Picture 3. Photograph of MikroPIK Verification – allows the review of connected terms from administrative and statistical systems.
Luxemburg, June 2009

13. Methods for improving quality of business statistics by wider use of administrative data
Method for improving quality of business statistics by wider use of administrative data
Picture 4. Application MikroPIK Verification – enables the connection of statistical and administrative terms.
Luxemburg, June 2009

14. The level of conformity of terms
Methods for improving quality of business statistics by wider use of administrative data
Method for improving quality of business statistics by wider use of administrative data
Results of work
connections between statistical and administrative terms
The level of conformity of terms
The number of terms
identical 10
similar 38
corresponding 55
different 26
no conformity 13
Luxemburg, June 2009

15. The level of conformity of terms
Methods for improving quality of business statistics by wider use of administrative data
Method for improving quality of business statistics by wider use of administrative data
connections between statistical and administrative classifications
The level of conformity of terms
The number of terms
identical 1
similar
corresponding
different
no conformity 5
Luxemburg, June 2009

16. Methods for improving quality of business statistics by wider use of administrative data
Method for improving quality of business statistics by wider use of administrative data
Examples of connections
terms
statistical
administrative
comments
identical
gender
similar
Employed on full time basis
Personal wages and salaries
Employed on time basis
Revenue of employment
Having the exact number of working hours of insured persons we can calculate the full time basis
Lack in administrative definition information about compensations for injuries and occupational diseases
corresponding
Legal person
Employed
Tax payer
Insured/Employed
Not every tax payer is the legal person
Statistical definition don’t include employed on the basis of order-agreement
different
Code of Polish Classification Activities
Symbol of predominant activity
Luxemburg, June 2009

17. Methods for improving quality of business statistics by wider use of administrative data
Method for improving quality of business statistics by wider use of administrative data
3. Project of methodology for direct or indirect usage of administrative data.
Conducting computations and making simulations of the use of the projected methodology in order to assess effects of its application.
DIRECT SOURCE
The use administrative data
to fill survey variables
Luxemburg, June 2009

18. Methods for improving quality of business statistics by wider use of administrative data
Method for improving quality of business statistics by wider use of administrative data
Ministry of Finance
National Health Fund
Administrative system
VAT
only for some units
PIT/CIT
KEP
Administrative data
Income
Due tax
Calculated tax
Kind of activity
Identification characteristics
Statistical data
Income, costs
Costs
Fixed assets
costs
Information about NHF services
Direct usage
Indirect estimation
Improvement of the efficiency of the sample design
Luxemburg, June 2009

19. Methods for improving quality of business statistics by wider use of administrative data
Method for improving quality of business statistics by wider use of administrative data
Information from the Ministry of Finance within the scope of VAT is characterized by low conformity with statistical needs what considerably limits and decreases possibility of its direct usage, in this case the additional estimations are indispensable.
Data from PIT/CIT systems are in accordance with statistical requirements and they would allow the direct usage, however their accessibility - timelines does not meet our standards. The time lag between the end of reference period and the date of their availability is definitely too long (over 1 year) to use them as the indirect source of data - it would have negative influence on statistics validity.
Luxemburg, June 2009

20. Methods for improving quality of business statistics by wider use of administrative data
Method for improving quality of business statistics by wider use of administrative data
METHODOLOGY
Direct data implementation from VAT system – for all units and subsets where there are no methodological divergences.
Estimation of data from VAT system – correction of data from VAT system on the base of relations between estimated values from VAT and real income estimated from PIT/CIT from previous years - for all remaining units.
Estimation according the above rules – for units with VAT exemption.
The indirect estimation on the base of sampling is the alternative to the second method. This estimation would be conducted with use of current information from VAT system, current information concerning big enterprises and historical information from PIT/CIT system – as auxiliary variables.
In order to succeed it analyses of information divergence from PIT/CIT and VAT systems and time stability is indispensable.
Luxemburg, June 2009

21. % of units for which the administrative data are accessible
Methods for improving quality of business statistics by wider use of administrative data
Method for improving quality of business statistics by wider use of administrative data
Comparison of income values between survey and PIT/CIT system
Completeness of PIT/CIT system: 92, 8 % of surveyed units
Values
% of units for which the administrative data are accessible
Totally correct
58,1
The difference < 1000 PLN
9,3
The difference > 1000 PLN
32,6
Luxemburg, June 2009

22. % of units for which the administrative data are accessible
Methods for improving quality of business statistics by wider use of administrative data
Method for improving quality of business statistics by wider use of administrative data
Comparison of income values between survey and VAT system
Completeness of VAT system: 78, 7 % of surveyed units
Values
% of units for which the administrative data are accessible
Totally correct
11,1
The difference < 1000 PLN
41,0
The difference > 1000 PLN
47,9
Luxemburg, June 2009

23. Social Insurance Institution Central Register of Contribution Payers
Methods for improving quality of business statistics by wider use of administrative data
Method for improving quality of business statistics by wider use of administrative data
Ministry of Finance
Social Insurance Institution
Administrative system
PIT/CIT (Personal or Corporate Income Tax Database)
only for some units
Central Register of Contribution Payers
Administrative data
wages and salaries
insured/employed
insured/worker
Statistical data
wages and salaries , contributions to social and health security paid by the insured employees, payment due to order agreement
employed
paid employed
Direct usage
Indirect estimation
Luxemburg, June 2009 23

24. Method for improving quality of business statistics by wider use of administrative data
In case of data on employment and working not due to a lack of administrative data sets derived from the Social Insurance Institution (Central Register of Contribution Payers) for different months of the year, we have not been able to examine the full. Estimates suggest the possibility of obtaining directly such data from the collections held by the Social Insurance Institution.
In case of wages and salaries, in order to indirect obtaining the full information compatible with the CSO methodology, it is necessary to mobilize additional collections from the Ministry of Finance (PIT-11) and Social Insurance Institution (ZUS RMUA and Central Register of Contribution Payers) and collision with each other relevant variables.
Luxemburg, June 2009

25. Method for improving quality of business statistics by wider use of administrative data
4. Formulation of the the principles for data base of micro-enterprises
The core of the base will be the information from our SBR (Statistical Business Register) connecting and matching all records from administrative sources by the use of REGON or NIP or PESEL.
The core base will be supplied by the variables from administrative systems which are considered to be in accordance with statistical ones or additionally which would be right and appropriate in order to meet users’ needs.
Luxemburg, June 2009

26. Method for improving quality of business statistics by wider use of administrative data
The subjective scope will embrace all units: natural persons conducting economic activity, legal persons, legal persons and organizational entities without legal personality, local units, groups of enterprises, natural persons – partners in limited or non-commercial partnerships registered in the following administrative sources:
Ministry of Finance – CIT, PIT, VAT, Taxpayer register KEP : certification of registration of taxpayer, supplies us with the name of entrepreneur, address, permanent establishment, nature of activity, branch of industry, wages and salaries,
Social Insurance Institution – Central Register of Contribution Payers, ZUS ZUA form: PESEL, NIP, name, number of insured persons (employed and paid employed), and their revenues,
Ministry of Justice - National Court Register: only for identification of unit,
National Health Fund: Information about NHF services,
others, if they are considered to be appropriate.
Luxemburg, June 2009

27. objective scope will correspond to the scope of survey:
Method for improving quality of business statistics by wider use of administrative data
objective scope will correspond to the scope of survey:
identification characteristics: address of registered office, address where activity is conducted, correspondence, mailing address, telephone, fax number,
date of the activity beginning, suspension, resume or close-down,
kind of financial records,
kinds of activity,
number of local units,
number of paid employed,
number of employed,
wages and salaries,
revenues,
costs,
gross value of fixed assets,
taxes.
Luxemburg, June 2009

28. Implementation stages:
Method for improving quality of business statistics by wider use of administrative data
Implementation stages:
creation of the core base by means of data derived from SBR
connection of units from statistical and administrative sources – by use of REGON, NIP, PESEL
adding new units, shaping limited or non-commercial partnerships
determining local units
enter administrative data to the core base
updating the data
The subjective updating will be done on the base of SBR and administrative sources. Close down units will be stored in the base for 4 years. The objective scope will be updated once a year as soon as we receive proper sets.
Luxemburg, June 2009

29. Method for improving quality of business statistics by wider use of administrative data
The scope of SBR
Updating
Ministry of Finance
National Court Register
Social Security Service
NIP, PESEL, REGON X
address
legal form
legal and economic activity
date of the activity close-down,dissolution, invalidity, fusion or transformation,
number of paid employed, employed,
wages and salaries
revenues
kind of financial register
information about local units and groups of enterprises
Luxemburg, June 2009

30. What is still to be done by the end of the project?
Method for improving quality of business statistics by wider use of administrative data
What is still to be done by the end of the project?
Working out the new methods of data estimation in sample surveys on micro-enterprises – based on the sample, in order to obtain data on low levels of geographical aggregation. An experimental estimation of selected economic categories, based on statistical surveys’ data and the administrative data. Testing the new methods. Conducting computations and making simulations of the use of the projected methodology in order to assess effects of its application – all this work is planned to be finished by the end of July.
Working out the method of using administrative systems in sample selection, for example by using the administrative data as additional variables in sampling schemes.
Preparing elaboration of the micro-enterprises spatial positioning – in additional geographic coordinates to the address data of the statistical business register.
Luxemburg, June 2009

31. Thank you for your attention
Methods for improving quality of business statistics by wider use of administrative data
Method for improving quality of business statistics by wider use of administrative data
Thank you
for your attention
Luxemburg, June 2009