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.
Canty A.J., Davison A.C.,(1999), Resampling-based Variance Estimation for Labour Force Survey, Journal of the Royal Statistical Society. Series D (The Statistician), Vol. 48, No. 3 (1999), pp. 379-391.
Deville, J.-C. and Sarndal, C.E. and Sautory, O. (1993), Generalized Ranking Procedures in Survey Sampling, Journal of the American Statistical Association, Vol. 88, No. 423, pp. 1013-1020.
Efron B., (1979) Bootstrap methods: another look at the jackknife, “Annals of statistics" 7, 1-26.
Financed by the National Centre for Research and Development under grant No. SP/I/1/77065/10 by the strategic scientific research and experimental development program:
SYNAT - “Interdisciplinary System for Interactive Scientific and Scientific-Technical Information”.