- Author
- Zięba-Pietrzak Agnieszka (Warsaw School of Economics, Poland), Kordos Jan (Warsaw School of Economics, Poland), Wieczorkowski Robert (Główny Urząd Statystyczny, Warszawa)
- Title
- Bootstrap Method with Calibration for Standard Error Estimators of Income Poverty Measures
- Source
- Statistics in Transition, 2011, vol. 12, nr 1, s. 81-96, tab., bibliogr. 16 poz.
- Keyword
- Metody samowsporne, Estymatory, Kalibracja, Badania reprezentacyjne, Wskaźniki ubóstwa
Bootstrap, Estimators, Calibration, Sampling survey, Poverty indicators - Note
- The presented work was done under the S.A.M.P.L.E. project (Small Area Methods for Poverty and Living Condition Estimates). This research programme was funded by the European Commission under the Seventh Framework (FP7) Programme of the European Union. (http://www.sample-project.eu/).
summ. - 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. (original abstract)
- Accessibility
- The Main Library of the Cracow University of Economics
The Library of Warsaw School of Economics
The Library of University of Economics in Katowice
The Main Library of Poznań University of Economics and Business
The Main Library of the Wroclaw University of Economics - Full text
- Show
- Bibliography
-
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- Cited by
- ISSN
- 1234-7655
- Language
- eng
