Modelling intra-annual measurement in linked administrative and survey data / by Jetske Marcelis, Arnout van Delden, Sander Scholtus and Femke Kessels.: CS11-522/2022-1-12E-PDF
"At Statistics Netherlands (SN) for some economic sectors two partly-independent intra-annual turnover index series are available: a monthly series based on survey data and a quarterly series based on value added tax data for the smaller units and re-used survey data for the other units. SN aims to benchmark the monthly turnover index series to the quarterly census data on a quarterly basis. This cannot currently be done because the tax data has a different quarterly pattern: the turnover is relatively large in the fourth quarter of the year and smaller in the first quarter. With the current study we aim to describe this deviating quarterly pattern at micro level. In the past we developed a mixture model using absolute turnover levels that could explain part of the quarterly patterns. Because the absolute turnover levels differ between the two series, in the current study we use a model based on relative quarterly turnover levels within a year"--Abstract.
Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.943017&sl=0
Department/Agency | Statistics Canada, issuing body. |
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Title | Modelling intra-annual measurement in linked administrative and survey data / by Jetske Marcelis, Arnout van Delden, Sander Scholtus and Femke Kessels. |
Variant title | At head of title: Proceedings of Statistics Canada Symposium 2022 : data disaggregation : building a more representative data portrait of society |
Series title | [Statistics Canada international symposium series : proceedings], 1709-8211 |
Publication type | Series - View Master Record |
Language | [English] |
Other language editions | [French] |
Format | Electronic |
Electronic document | |
Note(s) | Cover title. Issued also in French under title: Modélisation de la mesure intra-annuelle dans les données administratives et d'enquête couplées. Includes bibliographical references (pages 8-9). |
Publishing information | [Ottawa] : Statistics Canada = Statistique Canada, March 25, 2024. |
Author / Contributor | Marcelis, Jetske, author. |
Description | 1 online resource (9 pages) : graphs. |
Catalogue number |
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Departmental catalogue number | 11-522-X |
Subject terms | Errors-in-variables models. Time-series analysis. |
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