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EN
Traditional estimation of poverty and inequality indicators, such as the Gini coefficient, for regions does not currently use auxiliary information or models fitted to income survey data. A predictor-type estimator constructed from ordinary mixed model predictions is not necessarily useful, as the predictions have too small spread for estimation of income statistics. Ordinary bias corrections are aimed at correcting the expectation of predictions, but poverty indicators would not be affected at all by a correction involving multiplication of predictions. We need a method improving the shape of the distribution of predictions, as poverty indicators describe differences of income between people. We therefore introduce a transformation bringing the percentiles of transformed predictions closer to the percentiles of sample values. The experiments show that the transformation results in smaller MSE of a predictor. If unit-level data from population are not available, the marginal domain frequencies of qualitative auxiliary variables can be successfully incorporated into a new calibration-based predictor-type estimator. The results are based on design-based simulation experiments where we use a population generated from an EU-wide income survey. The study is a part of the AMELI project funded by the European Union under the Seventh Framework Programme for research and technological development (FP7).
EN
The article aims to compare and evaluate solutions with regard to compensatory collective redress existing in CEE countries. The author will attempt to illuminate obstacles and challenges to using collective redress as an avenue for antitrust enforcement in CEE countries, as well as possible advantages of the scrutinised legal frameworks. Besides focusing on national provisions, the article will draw on provisions of the Damages Directive and the Commission's Recommendation on collective redress mechanisms. It will open up the field for de lege ferenda proposals also.
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