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  • Search: subject:"unit level models"
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Year of publication
Subject
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Area level model 1 Empirical best estimator 1 Hierarchical Bayes 1 Poverty mapping 1 Unit level models 1 area level model 1 census 1 density estimation 1 empirical best estimator 1 hierarchical Bayes 1 non-linear parameters 1 official statistics 1 poverty mapping 1 small area estimation 1 unit level models 1 unit‐level models 1
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Online availability
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Free 3
Type of publication
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Article 2 Book / Working Paper 1
Type of publication (narrower categories)
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Article 2
Language
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English 2 Undetermined 1
Author
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Rao, J. N. K. 2 Guadarrama, María 1 Molina, Isabel 1 Peralta, Isabel Molina 1 Sanz, Maria Guadarrama 1 Schmid, Timo 1 Tzavidis, Nikos 1 Würz, Nora 1
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Institution
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Departamento de Estadistica, Universidad Carlos III de Madrid 1
Published in...
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Journal of the Royal Statistical Society: Series A (Statistics in Society) 1 Statistics and Econometrics Working Papers 1 Statistics in Transition New Series 1
Source
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EconStor 2 RePEc 1
Showing 1 - 3 of 3
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Estimating regional income indicators under transformations and access to limited population auxiliary information
Würz, Nora; Schmid, Timo; Tzavidis, Nikos - In: Journal of the Royal Statistical Society: Series A … 185 (2022) 4, pp. 1679-1706
Spatially disaggregated income indicators are typically estimated by using model‐based methods that assume access to auxiliary information from population micro‐data. In many countries like Germany and the UK population micro‐data are not publicly available. In this work we propose small...
Persistent link: https://www.econbiz.de/10014504535
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A COMPARISON OF SMALL AREA ESTIMATION METHODS FOR POVERTY MAPPING
Guadarrama, María; Molina, Isabel; Rao, J. N. K. - In: Statistics in Transition New Series 17 (2016) 1, pp. 41-66
Persistent link: https://www.econbiz.de/10012141607
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A Comparison of Small Area Estimation Methods for Poverty Mapping
Sanz, Maria Guadarrama; Peralta, Isabel Molina; Rao, J. … - Departamento de Estadistica, Universidad Carlos III de … - 2015
Poverty maps are an important source of information on the regional distribution of poverty and are currently used to support regional policy making and to allocate funds to local jurisdictions. But obtaining accurate poverty maps at low levels of disaggregation is not straightforward because of...
Persistent link: https://www.econbiz.de/10011268616
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