Hi dear R-helpers,
Happy new year. I have estimated Gini index variance in the case of complex
survey (stratify and with two stage sampling). I use the survey package. I use
replication (bootstrap, and Jacknife) and linearisation according to Binder
(1993) article
David A. Binder and Milorad
KovaËcevi´c(1993), « Estimating some measures of income inequality from
survey
data : An application of
estimating equation approach », Proceedings
of the ASA Survey Research Methods,
550-555.
But I found different results. According to my experience, result of
linearisation are more accurate. Is it an explanation to this ? Is bootstrap
appropriate for all situations or there are drawback?
Sincerly.
Justin BEM
BP 1917 Yaoundé
Tél (237) 99597295
(237) 22040246
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