1. ADMINISTRATIVE DATA IN ANNUAL BUSINESS STATISTICS OF LATVIA

2. ANNUAL BUSINESS SURVEY
The target of the survey:
Structural Business Statistics
Foreign Affiliate Trade Statistics (FATS)
National accounts
Labour statistics
Investment statistics
ICT statistics
Coverage:
All active market enterprises
NACE rev.1.1. A – O
B-K, O (without 91) at 4 digit level
M, N at 3 digit level
A, L, 91, 93 at 2 digit level

3. SURVEY STRATEGY (from 2006 onwards)
All enterprises are divided into three groups:
Exhaustive survey:
Average number of persons employed is equal or higher than 50,
Turnover is higher than threshold defined for the corresponding NACE group,
Enterprises with NACE 652 “Other financial intermediation” un 67 “Activities auxiliary to financial intermediation”,
Enterprises for the FATS survey.
enterprises - 18% of population (without self employed
physical persons)

4. SURVEY STRATEGY (from 2006 onwards)
Sample survey:
Enterprises with the average number of employees between 10 and 49 and not fulfilling previous conditions are surveyed by sample
1 826 enterprises - 3% of population and 21% from the population
of sample frame
Use of administrative data:
Enterprises below above mentioned thresholds (small units) are calculated using administrative sources
enterprises - 67% of population (without self employed
physical persons)
Self employed physical persons are estimated from administrative sources (from 2002 onwards)
persons (2006)

5. SURVEY STRATEGY (from 2006 onwards)
SBS data calculation
Enterprises above threshold
Enterprises below threshold
Survey
estimation
final results
thresholds

6. THE MAIN SOURCES OF ADMINISTRATIVE DATA
The State Revenue Service (on the basis of official agreement)
Annual financial statement of enterprises (enterprises with turnover higher than Ls)
- balance sheet
- profit and loss account
Declaration on income from economic activity (enterprises with turnover less than Ls and self employed physical persons)
Taxes (natural resources tax, lottery and gambling tax, customs tax and other governmental charges and payments)
Report on mandatory state social insurance contribution

7. DISTRIBUTION OF SBS DATA BY SOURCES
(2006)

8. ESTIMATION OF NON-RESPONDENTS
Non-response for large enterprises within exhaustive survey are estimated:
from other statistical surveys (if available)
monthly survey on industrial activities, quarterly surveys on financial situation, labour and investments
from administrative sources (the same method as for small enterprises)
Non-response rate (from large enterprises surveyed with exhaustive survey) = 18% (2006)

9. COMBINATION AND ESTIMATION OF THE VARIABLES WICH ARE AVAILABLE IN THE ADMINISTRATIVE DATA
Direct imputation
variables from administrative sources are directly copied in to the statistical questionnaire
such variables as; number of persons employed, wages and salaries, turnover, other operating income, stocks by kind.
Estimations
variables, which can not be directly imputed in the statistical questionnaire are estimated using structural coefficients or other methods
such variables as; purchase of raw materials and goods, purchase of goods and services for resale, purchase of services, increase of fixed assets.

10. ACTIVITIES WITHIN THE PROJECT
deeper and detailed analysis of correlation between administrative and survey data,
evaluation of the impact of the size, activity, age and other characteristics of enterprise on structural coefficients (preparation of model based imputations),
to research possibilities and to develop imputation models for investment variables
Future target:
To rise the threshold for the enterprises to be imputed from administrative sources (less number of enterprises surveyed by statistical questionnaires)

11. ADVANTAGES AND DISADVANTAGES OF ADMINISTRATIVE DATA
Reduction of response burden for small enterprises
evaluated saving is about 59 thsd/hours
Retain high data quality
Better focus on the large enterprises
Disadvantages
A lot of imputation work has to be done within the statistical office.
Timeliness of administrative data is quite late. Very tight timetable for production of SBS preliminary results:
30 September - administrative data available to CSB
31 October – SBS preliminary results transmitted to Eurostat