[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
"Stas Kolenikov" <skolenik@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: standard errors poverty measurement Stata 10 |

Date |
Fri, 5 Dec 2008 11:56:16 -0600 |

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 <rahmen.lahga@gmail.com> 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.name Small print: I use this email account for mailing lists only. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: standard errors poverty measurement Stata 10***From:*c.boeber@uni-hohenheim.de

**Re: st: standard errors poverty measurement Stata 10***From:*"Stas Kolenikov" <skolenik@gmail.com>

**Re: st: standard errors poverty measurement Stata 10***From:*"Abdel Rahmen El Lahga" <rahmen.lahga@gmail.com>

- Prev by Date:
**st: RE: bootstrapped p-values** - Next by Date:
**Re: st: standard errors poverty measurement Stata 10** - Previous by thread:
**Re: st: standard errors poverty measurement Stata 10** - Next by thread:
**Re: st: standard errors poverty measurement Stata 10** - Index(es):

© Copyright 1996–2016 StataCorp LP | Terms of use | Privacy | Contact us | What's new | Site index |