1. Redesigning French structural business statistics, using more administrative data ICESIII, Montréal, june 2007

2. Outlines General principles of the future device
Methodological studies raised by the use of multiple sources

3. General principles of the future device
Insee started in 2005 the redesigning of structural business statistics, with two main objectives :
use of administrative data in a more systematic way (especially since they are available earlier than before): annual income statements, annual statements of payroll data, customs data
use of the concept of « enterprise group », in business statistics, in a more important way

4. The components of the future system
Administrative data
Annual income statements
Annual statements of payroll data
Customs data
A statistical mail survey, carried out on a sample of enterprises

5. Other administrative data
GENERAL PRINCIPLES - CALENDAR
Survey
First results
Definitive results
01/01
Tax data (1)
Tax data (2)
31/12
Other administrative data

6. Many methodological studies are necessary for the implementation of the new system
Four kinds of studies :
The potential of administrative data
The statistical estimates
Data editing of different flows of data
Renewing the questionnaire of the statistical survey

7. The potential of administrative data
The « core » administrative data : the question is essentially the quality of identification of enterprises using the id-number of the business register
Infra-annual data (about turnover and number of salaries) might be used early as proxy variables  what about their quality ?
Also, other administrative sources are under study, concerning restructuring of enterprises and financial links existing between enterprises

8. The final database Sample { Variables of the survey
Sample {
Variables of the survey
Administrative variables : accounting data, « social » data, customs data, activity code of the register
exhaustive

9. The statistical estimates (1)
The estimates have to combine survey data and administrative data : how to use them in an optimal way ?
For some estimates using only the variables of the statistical survey :
For estimates mixing the two kinds of informations, it is more complex. Especially for sector-based estimates.

10. The statistical estimates (2)
The breakdown of turnover (collected through the statistical survey) is used to assign the « principal activity code » to the enterprise
This code is used for the sector-based estimates, as the turnover of a given economic sector

11. The statistical estimates (3)
A « possible » estimator for the turnover of sector X :
sampling weight
value 1 if principal activity code in the register is equal to X, 0 otherwise
idem with the activity code calculated in the survey

12. The statistical estimates (4)
The values of the weights will be modified, compared to their initial value, by the calibration of the estimators:
This may have consequences on the sampling plan

13. The data editing of different flows of data
Different flows of data arriving at different dates
First, the data editing of the survey data
Is it possible to use the proxys given by infra-annual data ?
Micro edits, and selective editing
Then, the data editing of administrative data
For selective editing, the fact that weights may be modified will have consequences

14. Renewing the questionnaire of the statistical survey
What we learned from the present survey
Test of different ways of collecting the information, especially concerning the breakdown of turnover
Also, since the questionnaire will be sent early to enterprises, test of the way of collecting some informations (for example about some costs) even if accounts are not closed