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  • Search: subject:"Autocorrelated sampling errors"
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Year of publication
Subject
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Autocorrelated sampling errors 2 Arbeitskräftepotenzial 1 Arbeitsmarkt 1 Arbeitsmarktstatistik 1 Bias 1 Estimation theory 1 Generalized least squares 1 Internal benchmarking 1 Labour Force Survey (LFS) 1 Labour force 1 Labour market 1 Labour statistics 1 Multivariate Analyse 1 Multivariate analysis 1 Multivariate composite estimator 1 Optimality 1 Population estimation accuracy 1 Recursive filtering 1 Sampling 1 Schätztheorie 1 State-space models 1 Stichprobenerhebung 1 Survey wave-specific biases 1 Systematischer Fehler 1 Transition probabilities in labour market categories 1 Trend and seasonal effects 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Article 1 Book / Working Paper 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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English 1 Undetermined 1
Author
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Hungnes, Håvard 1 Pfeffermann, Danny 1 Sikov, Anna 1 Tiller, Richard 1
Published in...
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Discussion papers / Statistics Norway, Research Department 1 TEST: An Official Journal of the Spanish Society of Statistics and Operations Research 1
Source
All
ECONIS (ZBW) 1 RePEc 1
Showing 1 - 2 of 2
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A novel multivariate composite estimator for the Labour Force Survey
Hungnes, Håvard - 2025
This paper introduces a novel multivariate composite estimator for the Labour Force Survey (LFS). Unlike the univariate composite estimators used in some countries, the multivariate estimator takes into account the different probabilities of transitioning between labour market categories, such...
Persistent link: https://www.econbiz.de/10015393650
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Cover Image
Single- and two-stage cross-sectional and time series benchmarking procedures for small area estimation
Pfeffermann, Danny; Sikov, Anna; Tiller, Richard - In: TEST: An Official Journal of the Spanish Society of … 23 (2014) 4, pp. 631-666
<Para ID="Par1">This article is divided into two parts. In the first part, we review and study the properties of single-stage cross-sectional and time series benchmarking procedures that have been proposed in the literature in the context of small area estimation. We compare cross-sectional and time series...</para>
Persistent link: https://www.econbiz.de/10011151308
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