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Re: st: Code


From   "Sergiy Radyakin" <serjradyakin@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Code
Date   Tue, 22 Jul 2008 15:49:37 -0400

Dear Ana,

probably something like this to get started:

sysuse auto, clear
sort price
local price_line=5079 /* 228.22 */
local window=5
tempvar obsnum
gen `obsnum'=_n
sum `obsnum' if price==`price_line'
sum price in `=`=r(min)'-`window''/`=`=r(max)'+`window''

Note that there might be more than 1 household right at the level of
poverty line. The above code will take all of them, plus window
households on the sides

Also note that a concept of "being at the poverty line" sounds
strange. Typically there are poor (inc<povline) and non-poor
(inc>=povline) households. Also the chances of a household having
income exactly equal to the poverty line are rather low. Also avoid
direct comparison (income==value) since income is stored as decimals,
and you may run into precision problems if your poverty line is not a
round number, but rather generated automatically in your code, etc,
etc, etc.

Just in case: ADePT Poverty program will do a lot of standard poverty
tabulations:
www.worldbank.org/adept

Best regards,
 Sergiy Radyakin

On 7/22/08, Ana R. Rios <arorigal@yahoo.com> wrote:
> Dear Stata users,
>
> Could someone suggest a code that will perform the following?
> - I have defined a poverty level based on income per capita (incpc).  I would like to perform calculations on x number of households above/below poverty.
>
> Here is an example: lets assume that the poverty level is an income per capita equal to 228.22.  I would like to calculate the mean income per capita for a total sample of 11 households: 5 households above poverty, 5 households below povery and the household at the poverty level.  That is, the mean income per capita for observations 8 to 18.
>
> obs     househol        incpc
> 1       18109   15.87111
> 2       19705   52.32142
> 3       37503   75
> 4       25309   80
> 5       33520   91.14099
> 6       22905   100
> 7       4113    150
> 8       37520   167.7384
> 9       33102   190
> 10      28614   192.205
> 11      28504   227.3124
> 12      37616   227.3575
> 13      37620   228.22
> 14      33518   235.8528
> 15      33315   236.0431
> 16      4205    250
> 17      5210    250
> 18      23814   252.6725
> 19      28506   256.8579
> 20      30912   265
>
>
> Thank you for your time.
>
> Regards,
> Ana Rios
>
>
>
>
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