Notes on updating the EU-SILC UDB sample design variables 2012-2014

Lorena Zardo Trindade and Tim Goedemé

No 1602, Working Papers from Herman Deleeck Centre for Social Policy, University of Antwerp

Abstract: Indicators based on EU-SILC should be accompanied by appropriate standard errors, and in order to do so, it is necessary to consider the sample design. Because important sample design variables are missing in the EU-SILC User Database (UDB), the aim of this note is to explain the update of EU-SILC UDB sample design variables for 2012 (version 4), 2013 (version 3) and 2014 (version 1), based on the methodology developed by Goedemé (2010b, 2013a). Although several of the challenges for reconstructing the EU-SILC sample design variables are identical for all releases of the data, the update required minor adjustments in the computation of the new sample design variables psu1 and strata1. The effect of the use of the new sample design variables on standard errors is observed for ‘At risk of povertyÂ’ and ‘Material deprivationÂ’, for which SE values are found to be larger when the sample design variables are considered.

Keywords: EU-SILC; sample design; sampling variance; Standard error (search for similar items in EconPapers)
JEL-codes: D31 O52 (search for similar items in EconPapers)
Date: 2016-06
New Economics Papers: this item is included in nep-eur and nep-net
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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