Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/18204 
Year of Publication: 
2000
Series/Report no.: 
DIW Discussion Papers No. 219
Publisher: 
Deutsches Institut für Wirtschaftsforschung (DIW), Berlin
Abstract: 
The techniques of simple random sampling are seldom appropriate in the empirical analysis of income distributions. Various types of weighting schemes are usually required either from the point of view of welfare-economic considerations (the mapping of household/family distributions into individual distributions) or from the point of view of sample design. The different types of weights have different implications for the sampling distribution of estimators of welfare indices.
Subjects: 
Welfare index
inequality
poverty
sample
inference
JEL: 
D63
C13
Document Type: 
Working Paper

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