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Re: st: creating panel of household surveyed in different year


From   Prakash Singh <[email protected]>
To   [email protected]
Subject   Re: st: creating panel of household surveyed in different year
Date   Wed, 22 May 2013 10:19:23 +0530

Thanks Chamara and Nick

Nick, I am providing the id of first ten household surveyed in 1997
and 2002 below.

hhid	survey_year	entry	exit
181004	1997		
181007	1997		
181113	1997		
181801	1997		
182003	1997		
182601	1997		
182615	1997		
182711	1997		
182716	1997		yes
182803	1997		yes
181001	2002	yes	
181004	2002		
181007	2002		
181113	2002		
181801	2002		
182003	2002		
182201	2002	yes	
182601	2002		
182615	2002		
182711	2002		

Now if you look at the id, household no 181001 and 182201 were not
part of 1997 survey household no 182716 and 182803 did not
participated in the 2002 survey.

My interest is first to generate one variable which identifies
households participated in all the survey; second variable identifying
new household in the survey and finally third variable identifying
household not participated in survey.
There are two more rounds of data which I am extracting still.

I hope I have made progress in expressing my query.



Prakash

On Tue, May 21, 2013 at 5:30 PM, Nick Cox <[email protected]> wrote:
> My own guess is that Prakash's previous post was ignored because it
> was too vague about precise data structure and the revised post
> doesn't add much.  At least that is why I deleted it. A specific
> example showing what you have is usually preferable to a long verbal
> discussion.
>
> The solution below seems unnecessarily complicated. Splitting the
> dataset into three and then -merge-ing them back again is only
> possible if there is some identifier in the dataset that tells you
> which survey round is being referred to. Why not just do it in place?
>
> At its simplest the number of rounds in which each household
> participated may just be the number of times the household appears in
> the dataset. Otherwise there should be some round identifier. There
> seems little point in speculating about variables, as Prakash can
> (please) give concrete details.
>
> Same applies to entry and exit: show us how the data are held, and
> specific suggestions are then much easier.
>
> Nick
> [email protected]
>
>
> On 21 May 2013 11:42, Chamara Anuranga <[email protected]> wrote:
>> Dear Prakash,
>>
>> keep id variable in each survey and create new variable to identify each survey.
>> for the dataset 1
>> gen svyname1="survey1"
>> for dataset 2
>> gen svyname2="survey2"
>>
>> etc.
>> now you have 3 datasets. Merge them base on id. check the missing for svynames
>>
>> egen totmiss=rowmiss(svyname*)
>>
>> if rowmiss if 0 it mean those household appears in 3 rounds.
>>
>>
>> Thanks
>> Chamara
>>
>>
>>
>>
>> On Tue, May 21, 2013 at 3:57 PM, Prakash Singh <[email protected]> wrote:
>>> Hello every one
>>> I had sent mail earlier also but may the subject was not appropriate
>>> to draw attention so I am sending this again with revised subject.
>>>
>>> I am working with survey dataset of more than three rounds. The
>>> identification code for each household is similar in all the rounds.
>>>
>>> Now there are some households which are surveyed in all the years,
>>> there are some households surveyed in some year but not in other years
>>> (did not participated in the survey). Now I want to map the households so that
>>> I can know which household is surveyed in more than two rounds and
>>> also want create panel of household which are surveyed in all the
>>> years.
>>>
>>> I am also interested in entry and exit of households, where entry
>>> means new household coming in the subsequent round of survey and exit
>>> means leaving the survey in the subsequent round of survey.
>>>
>>> Please suggest how should I workout this problem.
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