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

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Zięba-Pietrzak A., Kordos J., Wieczorkowski R.
Statistics in Transition new series
|
2011
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vol. 12
|
issue 1
81-96
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.
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Wybrane metody pomiaru cech jakościowych w analizach ubóstwa

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Rusnak Z.
Studia Ekonomiczne
|
2013
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vol. 133
20-41
EN
In classical approach to poverty spheres' analyses - both objective and subjective - one uses poverty indicators that characterize mostly the range and the depth of this phenomenon. One of the most basic aspects in a multivariate approach is to determine these factors that increase the risk of poverty. The main aim of this paper is to characterize the poverty determinants as well as to estimate the risk of households becoming threatened by this phenomenon. Chosen methods of measuring qualitative characteristics will be used to achieve this aim. The second goal of this paper is an attempt at estimating and comparing poverty spheres in regional approach by means of most important poverty indicators. The source of the data in both cases is unidentifiable unitary data from household budget research carried out by CSO in 2008 and made available for academic research.
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