Estimation within the new integrated system of household surveys in Germany
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Estimation within the new integrated system of household surveys in Germany Saeideh Kamgar1 · Florian Meinfelder2 · Ralf Münnich3 Hamidreza Navvabpour1
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Received: 30 August 2017 / Revised: 14 July 2018 © Springer-Verlag GmbH Germany, part of Springer Nature 2018
Abstract In 2015, the European Commission has drafted a framework regulation for integrated European social statistics. This integration covers the Labour Force Survey, the Statistics on Income and Living conditions, and others. In order to avoid an inappropriate response burden, administrative and other sources shall be considered to achieve accurate survey estimates. Combining information from different data sources has become a field of growing research interest among statistical offices and other institutions. In the statistical literature this problem is known as data fusion or statistical matching, and is widely considered as a particular missing-data pattern. Assuming that budgets are limited, and that only some additional information can be obtained to improve the quality of the data fusion, we investigate different scenarios of using these limited resources within an integrated system of household surveys. Our main objective is to develop a framework that fosters on the one hand the estimation of statistical models using several surveys, and on the other hand classical totals for different sub-classes and areas which are of special interest for official statistics.
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Ralf Münnich [email protected] Saeideh Kamgar [email protected] Florian Meinfelder [email protected] Hamidreza Navvabpour [email protected]
1
Department of Statistics, Allameh Tabataba’i University, PO Box 14155-8473, Tehran, Iran
2
Lehrstuhl für Statistik und Ökonometrie, Universität Bamberg, Feldkirchenstraße 21, 96052 Bamberg, Germany
3
Wirtschafts- und Sozialstatistik, Universität Trier, FB IV, VWL, Universitätsring 15, 54296 Trier, Germany
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S. Kamgar et al.
Keywords Missing-by-design patterns · Split questionnaire designs · Multiple imputation · Small area estimation
1 Introduction The increasing demand of reliable social data for policy support urged the needs for harmonising and restructuring European household surveys. The main emphasis is to gain information between the different surveys such as the Labour Force Survey (LFS), the Statistics on Income and Living Conditions (SILC), the Statistics on Information and Communication Technologies (ICT), and others in order to avoid a further increase of response burden by the public. Additionally, integration of available data sources such as registers or administrative sources into the estimation process provides the means to build a new integrated system of social surveys in Europe allowing to reduce the response burden while fostering gains in efficiency in the estimation processes. In order to achieve these ambitious goals, the European Commission has launched a new regulation for integrated social statistics (see European Commission 2016). The integration of different sources
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