| 書目名稱 | Evaluation of Statistical Matching and Selected SAE Methods |
| 副標(biāo)題 | Using Micro Census a |
| 編輯 | Verena Puchner |
| 視頻video | http://file.papertrans.cn/318/317351/317351.mp4 |
| 概述 | Study in the field of technical sciences.Includes supplementary material: |
| 叢書名稱 | BestMasters |
| 圖書封面 |  |
| 描述 | 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. |
| 出版日期 | Book 2015 |
| 關(guān)鍵詞 | EU-SILC Samples; Micro Census; Poverty Estimation; Regression Models; Statistical Matching |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-658-08224-6 |
| isbn_softcover | 978-3-658-08223-9 |
| isbn_ebook | 978-3-658-08224-6Series ISSN 2625-3577 Series E-ISSN 2625-3615 |
| issn_series | 2625-3577 |
| copyright | Springer Fachmedien Wiesbaden 2015 |
|Archiver|手機(jī)版|小黑屋|
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