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Re: st: RE: creating variable summarizing for each individual properties of other members of a group at t-1


From   Nick Cox <njcoxstata@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: RE: creating variable summarizing for each individual properties of other members of a group at t-1
Date   Wed, 18 May 2011 01:00:02 +0100

gen all_score = sum(score)

should be

gen all_score = sum(ind_score)

On Tue, May 17, 2011 at 11:32 PM, Nick Cox <njcoxstata@gmail.com> wrote:
> Thanks. I (think I) am understanding more. Now sounds like
>
> 0. Tag individuals' first entries
>
> bysort ind_id (yearmonth) : gen ind_score = sum(ind_entry)
> by ind_id : replace ind_score = ind_score == 1  & ind_score[_n-1] != 1
>
> /// != 1 not == 0 to catch ind_entry == 1 when _n == 1 for which
> ind_entry[_n-1] is missing
>
> See also
>
> FAQ     . . . . . . . . . . . . . . . First and last occurrences in panel data
>        . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  N. J. Cox
>        3/07    How can I identify first and last occurrences
>                systematically in panel data?
>                http://www.stata.com/support/faqs/data/firstoccur.html
>
>
>
> 1. Get the sum of all individual first entries
>
> sort yearmonth
> gen all_score = sum(score)
> by yearmonth : replace all_score = all_score[_N]
>
> 2. Subtract this individual
>
> replace all_score = all_score - ind_score
>
> 3. Look one step back in time
>
> bysort ind_id (yearmonth) : gen prevscore = allscore[_n-1]
>
> Nick
>
> On Tue, May 17, 2011 at 7:38 PM, Erik Aadland <erikaadland@hotmail.com> wrote:
>> My apologies if I am being imprecise.
>>
>> I am struggling in my attempt to create the following two variables.
>>
>> One variable that yields a score for each individual in the dataset for each yearmonth: the score is the sum of all ind_entry = 1 for all the other individuals excluding the focal individual up until and including time: yearmonth - 1.
>>
>> And a second variable that identifies for each individual in the dataset for each yearmonth: the total number of other individuals in the dataset that have experienced ind_entry = 1 at least once up until and including time: yearmonth - 1. In this variable, I want to count the number of individuals that have experienced ind_entry = 1, not how many times they have entered.
>
> Nick
>
>>> I naturally have no idea what -ind_entry- means.
>>>
>>> I am just summing it, as the code implies. Is that not what you want?
>
> Erik Aadland
>
>>> Thank you so much for your input, Nick.
>>>
>>> I have experimented and generated different variables previously relying on the very helpful FAQ in question.
>>>
>>> I am struggling with this problem however. When I apply the suggested code below, it appears that the calculation of the number of peers adds up more than it should for ind_ids with more ind_entry = 1 relative to other ind_ids, and consequently contribute more to the "score" than those with fewer ind_entry = 1.
>>>
>>> Referring to the example dataset, ind_id 2 is given the correct "prevscore". Ind_id 4, however, is not. By yearmonth 12, ind_id 4 has contributed 2 ind_entry=1 to the "score", which is correct for ind_id 2. However, ind_id 2 has not yet experienced ind_entry=1. Consequently, score - 1 for ind_id 4 yields a score = 1 in yearmonth 11 and 12, when the correct score = 0. And so on.
>>>
>>> Here is the suggested code as I applied it:
>>>
>>> clear ;
>>> #delimit ;
>>> use "ind_entry_ex.dta" ;
>>> sort yearmonth ;
>>> gen score = sum(ind_entry) ;
>>> by yearmonth: replace score = score[_N] ;
>>> replace score = score - ind_entry ;
>>> bysort ind_id (yearmonth): gen prevscore = score[_n-1] ;
>>>
>>>
>>> Here is the output:
>>>
>>> year month yearmonth ind_id ind_entry score prevscore
>>> 2003 10 10 2 0 1
>>> 2003 11 11 2 0 1 1
>>> 2003 12 12 2 0 2 1
>>> 2004 1 13 2 0 2 2
>>> 2004 2 14 2 1 2 2
>>> 2004 3 15 2 0 3 2
>>> 2003 10 10 4 1 0
>>> 2003 11 11 4 0 1 0
>>> 2003 12 12 4 1 1 1
>>> 2004 1 13 4 0 2 1
>>> 2004 2 14 4 0 3 2
>>> 2004 3 15 4 0 3 3
>>>
>>> I use Stata 10.
>
> Nick
>
>>> > I don't know what "I am familiar with" means here. Does it mean that you've read the FAQ but can't see how to apply it?
>>> >
>>> > This sounds to me like
>>> >
>>> > 1. Get the sum of all individual entries
>>> >
>>> > sort yearmonth
>>> > gen score = sum(ind_entry)
>>> > by yearmonth : replace score = score[_N]
>>> >
>>> > 2. Subtract this individual
>>> >
>>> > replace score = score - ind_entry
>>> >
>>> > 3. Look one step back in time
>>> >
>>> > bysort ind_id (yearmonth) : gen prevscore = score[_n-1]
>
>
> Erik Aadland
>
>>> > I need to create a variable that sums for each individual in my dataset the total number of ind_entry of all other individuals at time: yearmonth - 1.
>>> > I have attached a small ex of my data structure below. So for instance, given the small dataset below, for ind_id 2 in yearmonth 11 this variable score = 1. But for ind_id 4 in the same yearmonth, the score = 0.
>>> >
>>> > I would also like to generate a variable that identifies for each individual the unique number of other individuals in the dataset that have experienced ind_entry = 1 at least once up until time: yearmonth - 1.
>>> >
>>> > I am familiar with the following FAQ: http://www.stata.com/support/faqs/data/members.html
>>> >
>>> > My data structure is snapshot data in principle like the example below, but some individuals enter the observation window later than others (i.e. in later yearmonths):
>>> >
>>> > year month yearmonth ind_id ind_entry
>>> > 2003 10 10 2 0
>>> > 2003 11 11 2 0
>>> > 2003 12 12 2 0
>>> > 2004 1 13 2 0
>>> > 2004 2 14 2 1
>>> > 2004 3 15 2 0
>>> > 2003 10 10 4 1
>>> > 2003 11 11 4 0
>>> > 2003 12 12 4 1
>>> > 2004 1 13 4 0
>>> > 2004 2 14 4 0
>>> > 2004 3 15 4 0
>

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