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Computing poverty measures with survey data


  • Philippe Van Kerm

    () (CEPS/INSTEAD, Luxembourg)


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.

Suggested Citation

  • Philippe Van Kerm, 2009. "Computing poverty measures with survey data," German Stata Users' Group Meetings 2009 03, Stata Users Group.
  • Handle: RePEc:boc:dsug09:03

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