Re: st: RE: Income distribution

[Stas Kolenikov <skolenik@gmail.com>]

No, this is the stuff to work with individual records. With grouped data, I
don't think you'd be able to detect differences from a gamma or a log-normal
distribution unless you have a couple dozen income categories... which in my
experience does not happen; you are lucky if you have 10 or more; and I
don't think it is fair to say that income data "typically" come in this
form, many surveys have questions or modules on incomes and expenditures.

I'd say, "write your own -ml- estimator", but most of these flexible
distributions have only density functions available, while the cdfs do not
have analytic expressions.

On Wed, Mar 3, 2010 at 3:03 PM, Martin Weiss <martin.weiss1@gmx.de> wrote:

>
> <>
>
> *******
> findit Singh-Maddala
> *******
>
> throws up promising links...
>
> HTH
> Martin
>
>
> -----Original Message-----
> From: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Sridhar
> Telidevara
> Sent: Mittwoch, 3. März 2010 21:59
> To: statalist@hsphsun2.harvard.edu
> Subject: st: Income distribution
>
> Does anybody know whether stata has programs to estimate the
> parameters of various distributions (like Singh-Maddala, beta-2,
> lognormal etc.) if the income data are available in the grouped form.
> Unit wise income data are not available.  This is the case for
> household income data, where typically only frequencies within
> specified classes are available. The underlying distribution of the
> continuous data is modeled by the above mentioned parametric models.
>
> Thank you,
>
> Sridhar
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-- 
Stas Kolenikov, also found at http://stas.kolenikov.name
Small print: I use this email account for mailing lists only.

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