Vortrag
Comparability of EU-SILC Survey and Register Data: The Relationship of Employment, Earnings and Poverty

Henning Lohmann


IARIW 2010 General Conference : 31st General Conference
St. Gallen, Schweiz, 22.08.2010 - 28.08.2010




Abstract:
The Statistics on Income and Living Conditions (EU-SILC) provide an up-to-date data source for the comparative analysis of income, material deprivation, and poverty. At the EU level, these data have become a standard source for social reporting. Yet the specific approaches to data collection in EU-SILC vary widely from one country to the next. One of the major differences is that some countries rely entirely on household surveys, while others also use administrative or "register" data for a wide range of variables. This paper addresses the question of how the relationship among employment, earnings, and poverty changes when different approaches to data collection are used. The paper shows the impact on substantial results: here, the share of working and non-working poor. Since crucial questions of EU social policy rest on these data, it is an important finding that some results are most likely driven by different approaches to data collection.

Abstract

The Statistics on Income and Living Conditions (EU-SILC) provide an up-to-date data source for the comparative analysis of income, material deprivation, and poverty. At the EU level, these data have become a standard source for social reporting. Yet the specific approaches to data collection in EU-SILC vary widely from one country to the next. One of the major differences is that some countries rely entirely on household surveys, while others also use administrative or "register" data for a wide range of variables. This paper addresses the question of how the relationship among employment, earnings, and poverty changes when different approaches to data collection are used. The paper shows the impact on substantial results: here, the share of working and non-working poor. Since crucial questions of EU social policy rest on these data, it is an important finding that some results are most likely driven by different approaches to data collection.



Keywords: poverty, employment, EU-SILC, data comparability
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