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Re: st:transition from unemployment


From   Nick Cox <njcoxstata@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st:transition from unemployment
Date   Sun, 22 Apr 2012 11:43:33 +0100

Alternatively you can just condition on

... if month == firsttime


2012/4/22 Nick Cox <njcoxstata@gmail.com>:
> Your previous question was finding the time of the first transition
> from employment. This question seems to centre on the state reached by
> the first transition.
>
> As already explained in my earlier posting, but translated here to
> your variable names, etc.,
>
> bysort id_res : egen firsttime = min(month / inlist(steoold, 1, 2, 3))
>
> gives the time of the first transition from unemployment -- and so
>
> by id_res : egen newstatus = total(steoold * (month == firsttime))
>
> records what the status becomes.
>
> 2012/4/22 Мещеряков Антон <anton.mesh777@yandex.ru>:
>> Thanks for your help Katya and Nick.
>>
>> gen month=(p2-600)*(year==2006)+(p2-700)*(year==2007)
>> bysort id_res: egen emp1=min(month/(steoold==1)) if year==2007
>> bysort id_res: egen unemp2=min(month/(steoold==2)) if year==2007
>> bysort id_res: egen olf3=min(month/(steoold==3)) if year==2007
>> gen emp=1 if emp1==month
>> replace emp=0 if emp==.
>> gen unemp=1 if unemp2==month
>> replace unemp=0 if unemp==.
>> gen olf=1 if olf3==month
>> replace olf=0 if olf==.
>>
>> A this moment I have three generate variables, which show the exit of unemployment at the first questioning in 2007:
>> - emp (1-emp, 0 -othres )
>> - unemp (1- unemp, 0 -others)
>> - olf (1-olf, 0 -others)
>>
>> Now I would like to do next:
>>
>> 1. identify the structure of each group, for example (in per cent):
>>
>> 1a. how many people who become empl, olf or unempl are females and males
>> It was easy to do
>> tab emp stat,r
>> tab unemp stat,r
>>
>> BUT i do not know how to show this:
>> 1.b. i need per cent of respondents who change status in emp, olf and unemp amid females
>> and males.
>>
>> It may look like this
>>
>> tab emp stat if year==2007,col
>>
>> BUT i think it is wrong cause in this way it covers the whole respondents in each category during 2007
>> for example, employed:
>>
>>           |         Sex
>>       emp |     female    male |     Total
>> -----------+----------------------+----------
>>         0 | 314.57674   341.4202 | 655.99694
>>           |     87.13      84.63 |     85.81
>> -----------+----------------------+----------
>>         1 | 46.453121  61.995632 | 108.44875
>>           |     12.87      15.37 |     14.19
>> -----------+----------------------+----------
>>     Total | 361.02986  403.41584 |  764.4457
>>           |    100.00     100.00 |    100.00
>>
>>
>> Do you have any suggestions?

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