<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Using as much administrative data as possible is a general trend among most national statistical institutes. Different kinds of administrative sources, from tax authorities or other administrative bodies, are very helpful material in the production of business statistics. However, these sources often have to be completed by information collected through statistical surveys. This article describes the way Insee has implemented such a strategy in order to produce French structural business statistics. The originality of the French procedure is that administrative and survey variables are used jointly for the same enterprises, unlike the majority of multisource systems, in which the two kinds of sources generally complement each other for different categories of units. The idea is to use, as much as possible, the richness of the administrative sources combined with the timeliness of a survey, even if the latter is conducted only on a sample of enterprises. One main issue is the classification of enterprises within the NACE nomenclature, which is a cornerstone variable in producing the breakdown of the results by industry. At a given date, two values of the corresponding code may coexist: the value of the register, not necessarily up to date, and the value resulting from the data collected via the survey, but only from a sample of enterprises. Using all this information together requires the implementation of specific statistical estimators combining some properties of the difference estimators with calibration techniques. This article presents these estimators, as well as their statistical properties, and compares them with those of other methods.</p></abstract>

Using as much administrative data as possible is a general trend among most national statistical institutes. Different kinds of administrative sources, from tax authorities or other administrative bodies, are very helpful material in the production of business statistics. However, these sources often have to be completed by information collected through statistical surveys. This article describes the way Insee has implemented such a strategy in order to produce French structural business statistics. The originality of the French procedure is that administrative and survey variables are used jointly for the same enterprises, unlike the majority of multisource systems, in which the two kinds of sources generally complement each other for different categories of units. The idea is to use, as much as possible, the richness of the administrative sources combined with the timeliness of a survey, even if the latter is conducted only on a sample of enterprises. One main issue is the classification of enterprises within the NACE nomenclature, which is a cornerstone variable in producing the breakdown of the results by industry. At a given date, two values of the corresponding code may coexist: the value of the register, not necessarily up to date, and the value resulting from the data collected via the survey, but only from a sample of enterprises. Using all this information together requires the implementation of specific statistical estimators combining some properties of the difference estimators with calibration techniques. This article presents these estimators, as well as their statistical properties, and compares them with those of other methods.

Statistical Estimators Using Jointly Administrative and Survey Data to Produce French Structural Business Statistics

INSEE Boulevard Adolphe Pinard F-75675 Paris Cedex 14 75675, France.

INSEE Department of Statistical Methodology, 18, Boulevard Adolphe Pinard, F-75675 Paris Cedex 14 75675, France.

Journal of Official Statistics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Using as much administrative data as possible is a general trend among most national statistical institutes. Different kinds of administrative sources, from...

Statistical Estimators Using Jointly Administrative and Survey Data to Produce French Structural Business Statistics

Published Online: Dec 16, 2015

Page range: 589 - 609

Received: Nov 01, 2012

Accepted: Aug 01, 2015

DOI: https://doi.org/10.1515/jos-2015-0036

Keywords
Structural business statistics, administrative data, multisources device

© 2015 Philippe Brion et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Statistical Estimators Using Jointly Administrative and Survey Data to Produce French Structural Business Statistics

Published Online: Dec 16, 2015

Page range: 589 - 609

Received: Nov 01, 2012

Accepted: Aug 01, 2015

DOI: https://doi.org/10.1515/jos-2015-0036

KeywordsStructural business statistics, administrative data, multisources device

© 2015 Philippe Brion et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
Structural business statistics, administrative data, multisources device