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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
Given that all the indicators based on EU‐SILC are sample estimates, they should be reported along with estimates of standard errors and confidence intervals, particularly if the indicators are used for policy decisions. It is crucial to take the sampling variance into account when using sample estimates to monitor poverty and social exclusion, otherwise small changes in estimates may be wrongly interpreted as real changes in the population. Commission Regulation (EC) No 28/2004 of 5 January 2004, regarding the detailed content of intermediate and final EU‐SILC Quality reports, requires that standard error estimates shall be provided by countries along with the EU‐SILC main target indicators. In this chapter, we develop a practicable set of recommendations for computing standard errors both at data producers’ level (National Statistics Institutes — NSIs) and data users’ level (non NSIs).
465-478
Publications Office of the European Union
Berger, Yves
8fd6af5c-31e6-4130-8b53-90910bf2f43b
Osier, Guillaume
0f91404a-a048-4f82-97ae-d0c0ebdb7e6d
Goedeme, Tim
f6ee23e5-5eca-4630-8e86-8dba994b666c
Atkinson, Anthony B.
Guio, Anne-Catherine
Marlier, Eric
Berger, Yves
8fd6af5c-31e6-4130-8b53-90910bf2f43b
Osier, Guillaume
0f91404a-a048-4f82-97ae-d0c0ebdb7e6d
Goedeme, Tim
f6ee23e5-5eca-4630-8e86-8dba994b666c
Atkinson, Anthony B.
Guio, Anne-Catherine
Marlier, Eric

Berger, Yves, Osier, Guillaume and Goedeme, Tim (2017) Standard error estimation and related sampling issues. In, Atkinson, Anthony B., Guio, Anne-Catherine and Marlier, Eric (eds.) Monitoring Social Inclusion in Europe. Luxembourg. Publications Office of the European Union, pp. 465-478. , (doi:10.2785/60152).

Record type: Book Section

Abstract

Given that all the indicators based on EU‐SILC are sample estimates, they should be reported along with estimates of standard errors and confidence intervals, particularly if the indicators are used for policy decisions. It is crucial to take the sampling variance into account when using sample estimates to monitor poverty and social exclusion, otherwise small changes in estimates may be wrongly interpreted as real changes in the population. Commission Regulation (EC) No 28/2004 of 5 January 2004, regarding the detailed content of intermediate and final EU‐SILC Quality reports, requires that standard error estimates shall be provided by countries along with the EU‐SILC main target indicators. In this chapter, we develop a practicable set of recommendations for computing standard errors both at data producers’ level (National Statistics Institutes — NSIs) and data users’ level (non NSIs).

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Published date: 2017

Identifiers

Local EPrints ID: 416829
URI: https://eprints.soton.ac.uk/id/eprint/416829
PURE UUID: 6ce931bc-5751-414f-be61-a132c1cf94e4

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Date deposited: 11 Jan 2018 17:30
Last modified: 29 Jan 2018 17:30

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Contributors

Author: Yves Berger
Author: Guillaume Osier
Author: Tim Goedeme
Editor: Anthony B. Atkinson
Editor: Anne-Catherine Guio
Editor: Eric Marlier

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