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

Brion Philippe () and Gros Emmanuel ()
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Brion Philippe: INSEE Boulevard Adolphe Pinard F-75675 Paris Cedex 14 75675, France.
Gros Emmanuel: INSEE Department of Statistical Methodology, 18, Boulevard Adolphe Pinard, F-75675 Paris Cedex 14 75675, France.

Journal of Official Statistics, 2015, vol. 31, issue 4, 589-609

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.

Keywords: Structural business statistics; administrative data; multisources device (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:vrs:offsta:v:31:y:2015:i:4:p:589-609:n:4

DOI: 10.1515/jos-2015-0036

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