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  • Search: subject:"complex sample design"
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Year of publication
Subject
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Complex sample design 4 EU-SILC 2 Europe 2020 poverty reduction target 2 Standard error 2 Clustering within households 1 Confidence interval 1 Europe 2020 Strategy 1 Incomplete sample design variables 1 Satterthwaite approximation 1 Variance estimation 1 at-risk-of-poverty rate 1 calibration 1 complex sample design 1 data collection protocol 1 degrees of freedom 1 demographic and social survey 1 errors in variables regression 1 generalized weight share method 1 immigrants 1 indirect sampling 1 low work-intensity 1 marginal calibration 1 material deprivation 1 multiple links 1 non-response adjustment 1 non-responses 1 post-stratification 1 poverty 1 poverty indicators 1 sampling 1 sampling variance 1 weighted links 1 weighting 1
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Online availability
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Free 4 Undetermined 1
Type of publication
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Book / Working Paper 4 Article 1
Type of publication (narrower categories)
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Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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Undetermined 4 French 1
Author
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Goedemé, Tim 2 Eltinge, John L. 1 Fullone, Flora 1 Guin, Olivier 1 Jang, Donsig 1 Martelli, Bianca Maria 1 Merly-Alpa, Thomas 1 Paliod, Nicolas 1 Thao Khamsing, Willy 1
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Institution
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Centrum voor Sociaal Beleid - Herman Deleeck, Universiteit Antwerpen 1 Istituto Nazionale di Statistica (ISTAT) 1 Mathematica Policy Research 1
Published in...
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Documents de travail 1 ISAE Working Papers 1 Mathematica Policy Research Reports 1 Social Indicators Research 1 Working Papers / Centrum voor Sociaal Beleid - Herman Deleeck, Universiteit Antwerpen 1
Source
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RePEc 4 ECONIS (ZBW) 1
Showing 1 - 5 of 5
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Enquête Trajectoires et Origines 2 : de la conception à la réalisation
Thao Khamsing, Willy; Guin, Olivier; Merly-Alpa, Thomas; … - 2022
Persistent link: https://www.econbiz.de/10013350320
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The standard error of estimates based on EU-SILC. An exploration through the Europe 2020 poverty indicators
Goedemé, Tim - Centrum voor Sociaal Beleid - Herman Deleeck, … - 2010
Currently, the European Union Statistics on Income and Living Conditions (EU-SILC) is the single most important data source for cross-national comparative research on income and living conditions in the European Union. As EU-SILC consists of a sample of European households, point estimates...
Persistent link: https://www.econbiz.de/10010896633
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Use of Within-Primary-Sample-Unit Variances to Assess the Stability of a Standard Design-Based Variance Estimator.
Jang, Donsig; Eltinge, John L. - Mathematica Policy Research - 2009
This article on survey methodology addresses the problem of estimating degrees of freedom values from stratified multistage designs when a small number of primary sampling units (PSUs) are selected per stratum. Due to the small number of PSUs selected, the traditional Satterthwaite-based degrees...
Persistent link: https://www.econbiz.de/10010925143
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Re-thinking the ISAE Consumer Survey Processing Procedure
Fullone, Flora; Martelli, Bianca Maria - Istituto Nazionale di Statistica (ISTAT) - 2008
This paper focuses on the interaction between sample design, data collection mode and nonresponse handling of the ISAE consumer survey, as these factors may affect sample efficiency. For calculating sample weights and obtaining more reliable estimates, the calibration methodology has been...
Persistent link: https://www.econbiz.de/10005449508
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How much Confidence can we have in EU-SILC? Complex Sample Designs and the Standard Error of the Europe 2020 Poverty Indicators
Goedemé, Tim - In: Social Indicators Research 110 (2013) 1, pp. 89-110
If estimates are based on samples, they should be accompanied by appropriate standard errors and confidence intervals. This is true for scientific research in general, and is even more important if estimates are used to inform and evaluate policy measures such as those aimed at attaining the...
Persistent link: https://www.econbiz.de/10010848410
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