Computing poverty measures with survey data

Philippe Van Kerm ()

German Stata Users' Group Meetings 2009 from Stata Users Group

Abstract: 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
Date: 2009-07-16

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Persistent link: http://EconPapers.repec.org/RePEc:boc:dsug09:03

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