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Standard error estimation and related sampling issues

Standard error estimation and related sampling issues
Standard error estimation and related sampling issues
The paper presents the current state of progress of the Net-SILC2 work package dealing with standard error estimation and other related sampling issues in EU-SILC. The aim of this work package is to develop a handbook with a concrete set of recommendations both for data providers and data users with regard to standard error estimation. The increased complexity of EU-SILC, the widening of the user community and the increased reliance on EU-SILC for policy targeting and evaluation have enhanced the need for comparable, accurate as well as workable solutions for the estimation of standard errors and confidence intervals. After presenting the variance estimation methodology which has been recommended, the paper shows numerical results obtained for some of the EU-SILC key indicators.
Berger, Yves G.
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Goedeme, Tim
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Osier, Guillaume
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Berger, Yves G.
8fd6af5c-31e6-4130-8b53-90910bf2f43b
Goedeme, Tim
f6ee23e5-5eca-4630-8e86-8dba994b666c
Osier, Guillaume
0f91404a-a048-4f82-97ae-d0c0ebdb7e6d

Berger, Yves G., Goedeme, Tim and Osier, Guillaume (2012) Standard error estimation and related sampling issues. EU-SILC Conference 2013. 06 - 07 Dec 2012.

Record type: Conference or Workshop Item (Other)

Abstract

The paper presents the current state of progress of the Net-SILC2 work package dealing with standard error estimation and other related sampling issues in EU-SILC. The aim of this work package is to develop a handbook with a concrete set of recommendations both for data providers and data users with regard to standard error estimation. The increased complexity of EU-SILC, the widening of the user community and the increased reliance on EU-SILC for policy targeting and evaluation have enhanced the need for comparable, accurate as well as workable solutions for the estimation of standard errors and confidence intervals. After presenting the variance estimation methodology which has been recommended, the paper shows numerical results obtained for some of the EU-SILC key indicators.

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More information

Published date: 6 January 2012
Venue - Dates: EU-SILC Conference 2013, 2012-12-06 - 2012-12-07
Organisations: Statistical Sciences Research Institute

Identifiers

Local EPrints ID: 354900
URI: http://eprints.soton.ac.uk/id/eprint/354900
PURE UUID: 39def5a8-751e-4930-91df-b9f88c1e126f
ORCID for Yves G. Berger: ORCID iD orcid.org/0000-0002-9128-5384

Catalogue record

Date deposited: 07 Aug 2013 10:53
Last modified: 15 Mar 2024 03:00

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Contributors

Author: Yves G. Berger ORCID iD
Author: Tim Goedeme
Author: Guillaume Osier

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