Standard error estimation in EU-SILC – First results
of the Net-SILC2 project
Standard error estimation in EU-SILC – First results
of the Net-SILC2 project
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 practicable set of recommendations on standard error estimation both for data producers (NSIs) and data users. The increased complexity of EU-SILC, the widening of the user community and the increased reliance on EU-SILC for policy targeting and evaluation, particularly since the launch of the "Europe 2020" Strategy for smart, sustainable and inclusive growth, 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 that has been proposed, the paper shows preliminary results for cross-sectional and longitudinal measures and for measures of net change.
Di Meglio, Emilio
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Osier, Guillaume
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Goedeme, Tim
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Berger, Yves G.
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Di Falco, Emanuela
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5 March 2013
Di Meglio, Emilio
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Osier, Guillaume
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Goedeme, Tim
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Berger, Yves G.
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Di Falco, Emanuela
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Di Meglio, Emilio, Osier, Guillaume, Goedeme, Tim, Berger, Yves G. and Di Falco, Emanuela
(2013)
Standard error estimation in EU-SILC – First results
of the Net-SILC2 project.
NTTS (New Techniques and Technologies for Statistics) 2013.
05 - 07 Mar 2013.
Record type:
Conference or Workshop Item
(Paper)
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 practicable set of recommendations on standard error estimation both for data producers (NSIs) and data users. The increased complexity of EU-SILC, the widening of the user community and the increased reliance on EU-SILC for policy targeting and evaluation, particularly since the launch of the "Europe 2020" Strategy for smart, sustainable and inclusive growth, 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 that has been proposed, the paper shows preliminary results for cross-sectional and longitudinal measures and for measures of net change.
Text
NTTS2013fullPaper_144.pdf
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Published date: 5 March 2013
Venue - Dates:
NTTS (New Techniques and Technologies for Statistics) 2013, 2013-03-05 - 2013-03-07
Organisations:
Statistical Sciences Research Institute
Identifiers
Local EPrints ID: 354892
URI: http://eprints.soton.ac.uk/id/eprint/354892
PURE UUID: f8492882-9b65-4742-9ca9-f19e99e5c74a
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Date deposited: 07 Aug 2013 10:29
Last modified: 15 Mar 2024 03:00
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Contributors
Author:
Emilio Di Meglio
Author:
Guillaume Osier
Author:
Tim Goedeme
Author:
Emanuela Di Falco
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