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Evaluation of Statistical Matching and Selected SAE Methods

Using Micro Census and EU-SILC Data

Verena Puchner (Autor)

Buch | Softcover

XIII, 101 Seiten

2014 | 2015
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-08223-9 (ISBN)

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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.

Verena Puchner obtained her master’s degree at Technical University of Vienna under the supervision of Priv.-Doz. Dipl.-Ing. Dr. techn. Matthias Templ. At present, she works as a data miner and consultant.

Regression Models Including Selected Small Area Methods.- Statistical Matching.- Application to Poverty Estimation Using EU-SILC and Micro Census Data.- Bootstrap Methods.

Erscheint lt. Verlag	10.12.2014
Reihe/Serie	BestMasters
Zusatzinfo	XIII, 101 p. 6 illus.
Verlagsort	Wiesbaden
Sprache	englisch
Maße	148 x 210 mm
Gewicht	161 g
Themenwelt	Mathematik / Informatik ► Mathematik ► Analysis
	Mathematik / Informatik ► Mathematik ► Statistik
	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
Schlagworte	EU-SILC Samples • Micro Census • Poverty Estimation • regression models • Statistical Matching
ISBN-10	3-658-08223-2 / 3658082232
ISBN-13	978-3-658-08223-9 / 9783658082239
Zustand	Neuware