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Bootrstrap method with calibration for standrad error estimators of income poverty measures

Author

Listed:
  • Robert Wieczorkowski
  • Agnieszka Zięba-Pietrzak
  • Jan Kordos

Abstract

The authors begin with calibration approach in sample surveys, focussing on the Eurostat approach. Next, the indicators of poverty and social exclusion are discussed as an essential tool for monitoring progress in the reduction of these problems. Most of these indicators are calculated according to the Eurostat recommendations, using data from European Statistics on Income and Living Conditions (EU-SILC). Complex sample design of the EU-SILC requires weighted analyses for estimates of population parameters and approximate methods of standard error estimation. In our study McCarthy and Snowden (1985) bootstrap method for standard errors estimation of income poverty measures is presented. In the next step the reweighting of bootstrap weights is applied and results of such calibration are discussed.

Suggested Citation

  • Robert Wieczorkowski & Agnieszka Zięba-Pietrzak & Jan Kordos, 2011. "Bootrstrap method with calibration for standrad error estimators of income poverty measures," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 12(1), pages 81-96, August.
    • Handle: RePEc:csb:stintr:v:12:y:2011:i:1:p:81-96
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