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
Kovaˇcevi´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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