Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Evaluation of Statistical Matching and Selected Sae Methods: Using Micro Census and Eu-Silc Data

Evaluation of Statistical Matching and Selected Sae Methods: Using Micro Census and Eu-Silc Data

Puchner, Verena

Paperback

Series: Bestmasters

General MathematicsProbability & Statistics

ISBN10: 3658082232
ISBN13: 9783658082239
Publisher: Springer Nature
Published: Dec 10 2014
Pages: 101
Weight: 0.35
Height: 0.28 Width: 5.83 Depth: 8.27
Language: English
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.

Also in

General Mathematics

View All