Please use this identifier to cite or link to this item:
http://dspace.mediu.edu.my:8181/xmlui/handle/10419/18204| Title: | Estimating welfare indices: household weights and sample design |
| Keywords: | D63 C13 ddc:330 Welfare index inequality poverty sample inference Disparitätsmaß Einkommensverteilung Wohlfahrtseffekt Index Stichprobenverfahren Theorie |
| Issue Date: | 16-Oct-2013 |
| Publisher: | Deutsches Institut für Wirtschaftsforschung (DIW) Berlin |
| Description: | 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. |
| URI: | http://koha.mediu.edu.my:8181/xmlui/handle/10419/18204 |
| Other Identifiers: | http://hdl.handle.net/10419/18204 ppn:320245551 |
| Appears in Collections: | EconStor |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
