************
***** Invoked by: bhps_educ_master*.do 
************





*******************
** Data preparation: recoding variables for analytical purposes

use $data\bh_xw1.dta, clear
datasignature
notes

*
tab zqfedhi
recode zqfedhi -9=.m -7=.p 13=.s 
tab zqfedhi
gen educ1=(zqfedhi==1 | zqfedhi==2 | zqfedhi==3 | zqfedhi==4) if !missing(zqfedhi)  
gen educ2=(zqfedhi==1 | zqfedhi==2 ) if !missing(zqfedhi) 
label variable educ1 "Degree/diploma: Highest educational qualification categorisation"
label variable educ2 "Degree: Highest educational qualification categorisation"
tab1 educ1 educ2

*
tab zlkmove
recode zlkmove -9=.m -7=.p -2=.r 
tab zlkmove
gen loc1 = (zlkmove==2) if !missing(zlkmove)
label variable loc1 "Prefer to move: Attitude to moving home" 
tab loc1


tab zsex
gen fem=(zsex==2)

tab zage
clonevar midage=zage
recode midage -9=.m 15/29=.y 51/150=.o
tab midage
* (Because we suspect that edcuational qualifications are influenced by age,
*    this gives a conservative measure limiting analysis of age to a given age range) 



sav $path9\bh_temp.dta, replace