Bootstrap Method with Calibration for Standard Error Estimators of Income Poverty Measures

• Autorzy: Agnieszka Zięba-Pietrzak , Jan Kordos , Robert Wieczorkowski
• Języki publikacji: EN

Abstrakty

EN

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. (original abstract)

Słowa kluczowe

EN

Estimators; Calibration; Sampling survey; Poverty indicators; Bootstrap

PL

Estymatory; Kalibracja; Badania reprezentacyjne; Wskaźniki ubóstwa; Metody samowsporne

• Czasopismo: Statistics in Transition
• Rocznik: 2011
• Tom: 12
• Numer: nr 1
• Strony: 81--96

Twórcy

autor

Agnieszka Zięba-Pietrzak

• Warsaw School of Economics, Poland

autor

Jan Kordos

• Warsaw School of Economics, Poland

autor

Robert Wieczorkowski

• Główny Urząd Statystyczny, Warszawa

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