Evaluation of Statistical Matching and Selected SAE Methods: Using Micro Census and EU-SILC Data

Verena Puchner evaluates and compares statistical matching and selected SAE methods. Due to the fact that poverty estimation at regional level based on EU-SILC samples is not of adequate accuracy, the quality of the estimations should be improved by additionally incorporating micro census data. The...

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Tác giả chính:	Puchner, Verena
Định dạng:	Sách
Ngôn ngữ:	English
Được phát hành:	Springer 2015
Những chủ đề:	Economic Conditions Political science Macroeconomics Economics Statistical methods Poverty
Truy cập trực tuyến:	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58042
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spelling	oai:scholar.dlu.edu.vn:DLU123456789-580422023-11-11T05:58:02Z Evaluation of Statistical Matching and Selected SAE Methods: Using Micro Census and EU-SILC Data Puchner, Verena Economic Conditions Political science Macroeconomics Economics Statistical methods Poverty Verena Puchner evaluates and compares statistical matching and selected SAE methods. Due to the fact that poverty estimation at regional level based on EU-SILC samples is not of adequate accuracy, the quality of the estimations should be improved by additionally incorporating micro census data. The aim is to find the best method for the estimation of poverty in terms of small bias and small variance with the aid of a simulated artificial "close-to-reality" population. Variables of interest are imputed into the micro census data sets with the help of the EU-SILC samples through regression models including selected unit-level small area methods and statistical matching methods. Poverty indicators are then estimated. The author evaluates and compares the bias and variance for the direct estimator and the various methods. The variance is desired to be reduced by the larger sample size of the micro census. 2015-09-07T09:09:02Z 2015-09-07T09:09:02Z 2015 Book 978-3-658-08224-6 978-3-658-08223-9 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58042 en application/pdf Springer
institution	Thư viện Trường Đại học Đà Lạt
collection	Thư viện số
language	English
topic	Economic Conditions Political science Macroeconomics Economics Statistical methods Poverty
spellingShingle	Economic Conditions Political science Macroeconomics Economics Statistical methods Poverty Puchner, Verena Evaluation of Statistical Matching and Selected SAE Methods: Using Micro Census and EU-SILC Data
description	Verena Puchner evaluates and compares statistical matching and selected SAE methods. Due to the fact that poverty estimation at regional level based on EU-SILC samples is not of adequate accuracy, the quality of the estimations should be improved by additionally incorporating micro census data. The aim is to find the best method for the estimation of poverty in terms of small bias and small variance with the aid of a simulated artificial "close-to-reality" population. Variables of interest are imputed into the micro census data sets with the help of the EU-SILC samples through regression models including selected unit-level small area methods and statistical matching methods. Poverty indicators are then estimated. The author evaluates and compares the bias and variance for the direct estimator and the various methods. The variance is desired to be reduced by the larger sample size of the micro census.
format	Book
author	Puchner, Verena
author_facet	Puchner, Verena
author_sort	Puchner, Verena
title	Evaluation of Statistical Matching and Selected SAE Methods: Using Micro Census and EU-SILC Data
title_short	Evaluation of Statistical Matching and Selected SAE Methods: Using Micro Census and EU-SILC Data
title_full	Evaluation of Statistical Matching and Selected SAE Methods: Using Micro Census and EU-SILC Data
title_fullStr	Evaluation of Statistical Matching and Selected SAE Methods: Using Micro Census and EU-SILC Data
title_full_unstemmed	Evaluation of Statistical Matching and Selected SAE Methods: Using Micro Census and EU-SILC Data
title_sort	evaluation of statistical matching and selected sae methods: using micro census and eu-silc data
publisher	Springer
publishDate	2015
url	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58042
_version_	1782543548867936256

Evaluation of Statistical Matching and Selected SAE Methods: Using Micro Census and EU-SILC Data

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