Well in that whole DASP manual, they never discuss how they get the

standard errors. If that were a Stata Journal submission, it would

probably be returned with a request for Methods and Formulas section.

It is not mentioned in their huge analytical manual, either --

although of course that's a very useful summary of all things in

distributional economics, with all the right references. And

unfortunately I've seen more than once that something produced and

promoted by the World Bank eventually gets rebutted for not being

technically/statistically/econometrically solid -- maybe for the

simple reason that it does not have to pass peer review and be

presented at half a dozen seminars with critical audience to appear as

a working paper (and it does not help much that the number of people

who understand both economics of distribution and analysis with

complex survey data is miserably small). So if I were using this

package I would at least make sure that it produces correct standard

errors by cross-checking with other procedures.

Of course producing standard errors is a useful practice. But even

computing the standard error of a difference of two say Gini

coefficients or FGT indices between two surveys may not be that easy

if the samples are not perfectly independent.

Just a word of caution.

On 12/5/08, Abdel Rahmen El Lahga <

[hidden email]> wrote:

> you can use the DASP package developed by A. Araar and J-Y Duclos

> available at

http://132.203.59.36/DASP/index.html> you can estimate various poverty inequality measure with their s.e and

> taking into account the sampling design.

> Concerning the remark of Stas Kolenikov I note that std-err of

> poverty measure are required by most journal and policy maker to

> assess the effect of sampling variability on poverty and inequlity

> measure. This is a usuel practice in the profession

--

Stas Kolenikov, also found at

http://stas.kolenikov.nameSmall print: I use this email account for mailing lists only.

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