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Evaluation of Statistical Matching and Selected SAE Methods

Using Micro Census and EU-SILC Data

  • Verena Puchner

Part of the BestMasters book series (BEST)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Verena Puchner
    Pages 1-2
  3. Verena Puchner
    Pages 3-15
  4. Verena Puchner
    Pages 17-22
  5. Verena Puchner
    Pages 63-64
  6. Back Matter
    Pages 65-101

About this book

Introduction

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.

 Contents

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

Target Groups

  •  Researchers, students, and practitioners in the fields of statistics, official statistics, and survey statistics

 The Author

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.

Keywords

EU-SILC Samples Micro Census Poverty Estimation Regression Models Statistical Matching

Authors and affiliations

  • Verena Puchner
    • 1
  1. 1.Tieto Austria GmbHViennaAustria

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-658-08224-6
  • Copyright Information Springer Fachmedien Wiesbaden 2015
  • Publisher Name Springer Spektrum, Wiesbaden
  • eBook Packages Behavioral Science
  • Print ISBN 978-3-658-08223-9
  • Online ISBN 978-3-658-08224-6
  • Buy this book on publisher's site
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