Computing poverty measures with survey data
Philippe Van Kerm ()
German Stata Users' Group Meetings 2009 from Stata Users Group
I discuss estimation of poverty measures from household survey data in Stata and show how to derive analytic standard errors that take into account survey design features. Where needed, standard errors are adjusted for the estimation of the poverty line as a fraction of the mean or median income. The linearization approach based on influence functions is generally applicable to many estimators.
New Economics Papers: this item is included in nep-ltv
References: Add references at CitEc
Citations Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: http://EconPapers.repec.org/RePEc:boc:dsug09:03
Access Statistics for this paper
More papers in German Stata Users' Group Meetings 2009 from Stata Users Group Contact information at EDIRC.
Series data maintained by Christopher F Baum ().