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RE: st: RE: AW: how to reconstruct a minimum acceptable income from a set of binary variables?


From   "Nick Cox" <n.j.cox@durham.ac.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   RE: st: RE: AW: how to reconstruct a minimum acceptable income from a set of binary variables?
Date   Mon, 2 Mar 2009 18:07:44 -0000

To modify my earlier suggestion, your code could be 

gen min = 7000 

foreach v of numlist 6000 5000(500)1000 0 { 
	replace min = `v' if mindesinc_`v' == 1 
}

replace min = 0 if no_desired_income == 1 

Nick 
n.j.cox@durham.ac.uk 

Ekaterina Hertog

The real structure of my data is as I stated originally, rather than as 
Martin described it:
e.g.
input id mindesinc_500_999 mindesinc_1000_1499  mindesinc_1500_1999
101 1 1 1 1
102 0 1 1 1
103 0 0 1 1
104 0 0 1 1
105 0 1 1 1

Basically once the person finds a certain income acceptable he or she 
finds every income above acceptable too and puts 1s, rather than 0s.
At the moment I used one of the earlier advices I got with a bit of a 
modification
gen mindesinc=0
replace mindesinc=7000 if  desired_income_above_7000==1
replace mindesinc=6000 if  desired_income_6000_6999==1
replace mindesinc=5000 if  desired_income_5000_5999==1
replace mindesinc=4500 if  desired_income_4500_4999==1
replace mindesinc=4000 if  desired_income_4000_4499==1
replace mindesinc=3500 if  desired_income_3500_3999==1
replace mindesinc=3000 if   desired_income_3000_3499==1
replace mindesinc=2500 if   desired_income_2500_2999==1
replace mindesinc=2000 if  desired_income_2000_2499==1
replace mindesinc=1500 if  desired_income_1500_1999==1
replace mindesinc=1000 if  desired_income_1000_1499==1
replace mindesinc=0 if  desired_income_0_999==1 |  no_desired_income==1

I know it is not very elegant, but I thought this would pick up the 
lowest acceptable income.

>> Nick Cox wrote:
>>> A variation on the same idea: 
>>> gen min = 500
>>> foreach v in 1000 1500 2000 {     replace min = `v' if mindesinc_`v'

>>> == 1 }
>>>
>>> To be careful, check
>>> egen row = rowtotal(mindesinc*) assert row == 1
>>> Nick n.j.cox@durham.ac.uk

>>> Ekaterina Hertog
>>> I am dealing with a dataset from a private company and so my data
>> often
>>> comes in rather strange format and I now came against the following
>>> problem:
>>>  
>>> I have a set of individuals who answered questions about desired
>> income.
>>> It looks as follows:
>>>
>>> Individ nmb | Min desired income 500 - 999 | 1000 - 1499 |  1500 -
>> 2000
>>> |
>>> 101             |                      0                        
>>> |         0          |           1          |
>>> 102             |                      0                        
>>> |         1          |           1          |
>>> 103             |                      0                        
>>> |         0          |           1          |
>>> 104             |                      1                        
>>> |         1          |           1          |
>>> 105             |                      0                        
>>> |         1          |           1          |
>>>
>>> Is there a way to automatically recode these binary minimum desired

>>> income variables into a numerical variable which would state the
>> minimum
>>> acceptable figure for each individual?
>>> That is some routine which would check "Min desired income 500 - 
>>> 999" and if it equals 1 then would input 500 for the individual in 
>>> question
>>
>>> into a newly constructed variable "Minimum acceptable income" and
move
>>
>>> on to the next person and if it equals 0 would look at the value of 
>>> "1000 - 1499" variable and if it equals 1 would input 1000 for that 
>>> person and move on to the next person and if it is 0 would look at
>> "1500
>>> - 2000" variable?
>>

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