Variance Estimators of the Gini Coefficient-Probability Sampling
An estimator of the Gini coefficient (the well-known income inequality measure) of a finite population is defined for an arbitrary probability sampling design, taking the sampling design into consideration. Alternative estimators of the variance of the estimated Gini coefficient are introduced. The...
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| Veröffentlicht in: | Journal of business & economic statistics 1988-01, Vol.6 (1), p.113-119 |
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| container_end_page | 119 |
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| container_issue | 1 |
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| container_title | Journal of business & economic statistics |
| container_volume | 6 |
| creator | Sandström, Arne Wretman, Jan H. Walden, Bertil |
| description | An estimator of the Gini coefficient (the well-known income inequality measure) of a finite population is defined for an arbitrary probability sampling design, taking the sampling design into consideration. Alternative estimators of the variance of the estimated Gini coefficient are introduced. The sampling performance of the Gini coefficient estimator and its variance estimators is studied by means of a Monte Carlo study, using stratified sampling from a miniature population of Swedish households with authentic income data. |
| doi_str_mv | 10.1080/07350015.1988.10509643 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 0735-0015 |
| ispartof | Journal of business & economic statistics, 1988-01, Vol.6 (1), p.113-119 |
| issn | 0735-0015 1537-2707 |
| language | eng |
| recordid | cdi_proquest_journals_223194378 |
| source | Periodicals Index Online; JSTOR Mathematics & Statistics; JSTOR Archive Collection A-Z Listing |
| subjects | Estimating techniques Estimators Estimators for the mean Gini coefficient Income distribution Income estimates Mathematical analysis Monte Carlo simulation Parents Population estimates Probability Random sampling Sampling Sampling distributions Sampling studies Simulations Statistical analysis Statistical variance Studies |
| title | Variance Estimators of the Gini Coefficient-Probability Sampling |
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