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Re: st: Computing proportions within generated reference groups


From   Namrata Chindarkar <[email protected]>
To   [email protected]
Subject   Re: st: Computing proportions within generated reference groups
Date   Tue, 30 Aug 2011 11:47:34 -0400

Thanks Nick! Will try this and revert if I continue to face problems.

Best,
Namrata

On Tue, Aug 30, 2011 at 11:41 AM, Nick Cox <[email protected]> wrote:
> Let's suppose that key individuals are identified by an indicator
> variable -key- and also that no group has more than one such
> individual. Then it sounds like
>
> bysort group (key income): gen cumul = sum(income < income[_N]) if key[_N]
> by group : replace cumul = 1 - cumul/(_N - 1)
>
> Nick
>
> On Tue, Aug 30, 2011 at 4:18 PM, Namrata Chindarkar
> <[email protected]> wrote:
>> Thank you for your responses.
>>
>> A reference group is generated by year, country, age category, and
>> education category
>>
>> egen group = group(year country age_cat edu_cat)
>>
>> Each individual is an observation in one of the reference groups. No
>> individual belongs to more than one reference group.
>>
>> Namrata
>>
>> On Tue, Aug 30, 2011 at 11:11 AM, Nick Cox <[email protected]> wrote:
>>> No; it is most unlikely that you need to write a Stata program to do this.
>>>
>>> It is an application of -by:- and -sum()- and likely to be about two
>>> lines of code.
>>>
>>> To suggest good code I would need to know more about how that
>>> individual is defined.
>>>
>>> Nick
>>>
>>> On Tue, Aug 30, 2011 at 3:54 PM, Namrata Chindarkar
>>> <[email protected]> wrote:
>>>
>>>> I have created reference groups in my dataset using -egen- and now
>>>> want to compute proportions within those groups for certain variables.
>>>> For instance, for the income variable, I want to compute the
>>>> proportion of individuals that have income greater than income of
>>>> individual "i" in each reference group. As an example if group1 has 5
>>>> individuals with incomes 30, 20, 10, 60, and 70 respectively, I want
>>>> to be able to get values 0.4, 0.6, 0.8, 0.2, and 0 respectively.
>>>> Any suggestions on how to write a STATA program to compute this?
>>>
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