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

• Main Author: Puchner, Verena (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Spektrum, 2015.
• Series: BestMasters
• Subjects: Mathematics.; Applied mathematics.; Engineering mathematics.; Computer mathematics.; Probabilities.; Computational Mathematics and Numerical Analysis.; Probability Theory and Stochastic Processes.; Applications of Mathematics.

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...

Table of Contents:

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