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


From   Chamara Anuranga <kcanuranga@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: creating panel of household surveyed in different year
Date   Wed, 22 May 2013 11:16:25 +0530

Dear Prarkash

There are different way you can do same thing on Stata. If your
dataset organized like this I suggest to do the following
bys hhid: gen numsurvey=_N
bys hhid: egen minyear=min(survey_year)

gen entry=survey_year==minyear
bys hhid: egen maxyear=max(survey_year)
gen exit=survey_year==maxyear


numsurvey gives the number of times each household appear on the survey
entry is 1 if the household appear on the survey at first time and otherwise 0
exit is 1 if the household surveyed  at the last time
do the label defne for entry and exit variables.

label define yesno 1 "Yes"  2 "No"
label val entry yesno
label val exit yesno

if household only survey once entry and exit both get 1 (yes). However
you can  change the variable way you prefer base on numsurvey
variable.

Hope this help.

Thanks,
Chamara

On Wed, May 22, 2013 at 10:19 AM, Prakash Singh <prakashbhu@gmail.com> wrote:
> 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 <njcoxstata@gmail.com> 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
>> njcoxstata@gmail.com
>>
>>
>> On 21 May 2013 11:42, Chamara Anuranga <kcanuranga@gmail.com> 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 <prakashbhu@gmail.com> 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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