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Standard error estimation for EU-SILC target indicators – first results of the Net-SILC2 project

Standard error estimation for EU-SILC target indicators – first results of the Net-SILC2 project
Standard error estimation for EU-SILC target indicators – first results of the Net-SILC2 project
We present the first results of the Net-SILC2 project with regard to standard error estimation in EU-SILC (EU Statistics on Income and Living Conditions). EU-SILC is the main data source for comparative analysis and indicators on income and living conditions in the European Union (EU), covering all the 27 EU countries and a number of other European countries. The growing complexity of EU-SILC, the widening of the user community and the increasing reliance on EU-SILC for policy targeting and evaluation have enhanced the need for comparable, accurate as well as workable solutions to the estimation of standard errors and confidence intervals for the indicators based on the EU-SILC surveys. After presenting the Net-SILC2 project and the recommended variance estimators, we show preliminary estimates of standard error and confidence intervals for cross-sectional measures, longitudinal measures and measures of changes between two waves. The proposed approach is general and can be implemented with multistage surveys. As far as variance of change is concerned, the proposed approach can be used with rotating longitudinal surveys (Kalton 2009) such as Labour Force Surveys
Southampton Statistical Sciences Research Institute, University of Southampton
Di Meglio, Emilio
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Osier, Guillaume
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Berger, Yves G.
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DiFalco, Emanuela
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Di Meglio, Emilio
4a8140b6-cfe7-40da-90b7-8c13aeba9b1b
Osier, Guillaume
0f91404a-a048-4f82-97ae-d0c0ebdb7e6d
Berger, Yves G.
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DiFalco, Emanuela
f60d4f3c-f6f1-4a29-8b04-1900f1f708cb

Di Meglio, Emilio, Osier, Guillaume, Berger, Yves G. and DiFalco, Emanuela (2013) Standard error estimation for EU-SILC target indicators – first results of the Net-SILC2 project (S3RI Working Papers) Southampton, GB. Southampton Statistical Sciences Research Institute, University of Southampton

Record type: Monograph (Working Paper)

Abstract

We present the first results of the Net-SILC2 project with regard to standard error estimation in EU-SILC (EU Statistics on Income and Living Conditions). EU-SILC is the main data source for comparative analysis and indicators on income and living conditions in the European Union (EU), covering all the 27 EU countries and a number of other European countries. The growing complexity of EU-SILC, the widening of the user community and the increasing reliance on EU-SILC for policy targeting and evaluation have enhanced the need for comparable, accurate as well as workable solutions to the estimation of standard errors and confidence intervals for the indicators based on the EU-SILC surveys. After presenting the Net-SILC2 project and the recommended variance estimators, we show preliminary estimates of standard error and confidence intervals for cross-sectional measures, longitudinal measures and measures of changes between two waves. The proposed approach is general and can be implemented with multistage surveys. As far as variance of change is concerned, the proposed approach can be used with rotating longitudinal surveys (Kalton 2009) such as Labour Force Surveys

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Published date: 2013
Related URLs:
Organisations: Statistical Sciences Research Institute

Identifiers

Local EPrints ID: 354886
URI: http://eprints.soton.ac.uk/id/eprint/354886
PURE UUID: 719a559b-9dd9-4f7f-89d5-4d3273bc62f2
ORCID for Yves G. Berger: ORCID iD orcid.org/0000-0002-9128-5384

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Date deposited: 25 Jul 2013 14:17
Last modified: 15 Mar 2024 03:00

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Contributors

Author: Emilio Di Meglio
Author: Guillaume Osier
Author: Yves G. Berger ORCID iD
Author: Emanuela DiFalco

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