cd "${output_path}\tmp\"


eststo clear
use "Linked_data.dta", clear


gen age2=age*age


gen vage2=vage*vage


gen vdisc60=cond((vage+0.001)>=(60+1/12),1,0)
replace vdisc60=cond((vage+0.001)>=(60+2/12),1,0) if vgebjahr==1952 & vgebmonat==1
replace vdisc60=cond((vage+0.001)>=(60+3/12),1,0) if vgebjahr==1952 & vgebmonat==2
replace vdisc60=cond((vage+0.001)>=(60+4/12),1,0) if vgebjahr==1952 & vgebmonat==3
replace vdisc60=cond((vage+0.001)>=(60+5/12),1,0) if vgebjahr==1952 & vgebmonat==4
replace vdisc60=cond((vage+0.001)>=(60+6/12),1,0) if vgebjahr==1952 & vgebmonat==5
replace vdisc60=cond((vage+0.001)>=(60+7/12),1,0) if vgebjahr==1952 & vgebmonat>=6 & vgebmonat<=12
replace vdisc60=cond((vage+0.001)>=(60+8/12),1,0) if vgebjahr==1953 
replace vdisc60=cond((vage+0.001)>=(60+9/12),1,0) if vgebjahr==1954
replace vdisc60=cond((vage+0.001)>=(60+10/12),1,0) if vgebjahr==1955
replace vdisc60=cond((vage+0.001)>=(60+11/12),1,0) if vgebjahr==1956
replace vdisc60=cond((vage+0.001)>=61,1,0) if vgebjahr==1957
 


sort pid syear
xtset pid syear
gen fbirth=f.birth

*These are the placebo outcomes
gen hschool=cond(pgpsbil==3 | pgpsbil==4,1,cond(pgpsbil==.,.,0))
gen polinterest=cond(politics==1 | politics==2,1,cond(politics==3 | politics==4,0,.))
gen urban=cond(regtyp==1,1,cond(regtyp==2,0,.))




eststo: xi: xtivreg2 hschool age age2 vage vage2 i.month i.syear (vretired = vdisc60) 				if vage>=50 & vage<=70 & age>=25 & age<=40, fe cluster(pid) partial(i.month i.syear) first savefirst savefprefix(_all_)

eststo: xi: xtivreg2 urban age age2 vage vage2 i.month i.syear (vretired = vdisc60) 				if vage>=50 & vage<=70 & age>=25 & age<=40, fe cluster(pid) partial(i.month i.syear) first savefirst savefprefix(_all_)

eststo: xi: xtivreg2 polinterest age age2 vage vage2 i.month i.syear (vretired = vdisc60) 				if vage>=50 & vage<=70 & age>=25 & age<=40, fe cluster(pid) partial(i.month i.syear) first savefirst savefprefix(_all_)

estout est1 est2 est3 using "${output_path}\Results\TableA2.csv" , keep(vretired) cells(b(star fmt(3)) se(par(`"="("' `")""'))) mlabels(,depvars) style(fixed) stats(widstat N) starlevels(* 0.10 ** 0.050 *** 0.010)  replace 
eststo clear








gen mage2=mage*mage



gen mdisc60=cond((mage+0.001)>=(60+1/12),1,0)
replace mdisc60=cond((mage+0.001)>=(60+2/12),1,0) if mgebjahr==1952 & mgebmonat==1
replace mdisc60=cond((mage+0.001)>=(60+3/12),1,0) if mgebjahr==1952 & mgebmonat==2
replace mdisc60=cond((mage+0.001)>=(60+4/12),1,0) if mgebjahr==1952 & mgebmonat==3
replace mdisc60=cond((mage+0.001)>=(60+5/12),1,0) if mgebjahr==1952 & mgebmonat==4
replace mdisc60=cond((mage+0.001)>=(60+6/12),1,0) if mgebjahr==1952 & mgebmonat==5
replace mdisc60=cond((mage+0.001)>=(60+7/12),1,0) if mgebjahr==1952 & mgebmonat>=6 & mgebmonat<=12
replace mdisc60=cond((mage+0.001)>=(60+8/12),1,0) if mgebjahr==1953 
replace mdisc60=cond((mage+0.001)>=(60+9/12),1,0) if mgebjahr==1954
replace mdisc60=cond((mage+0.001)>=(60+10/12),1,0) if mgebjahr==1955
replace mdisc60=cond((mage+0.001)>=(60+11/12),1,0) if mgebjahr==1956
replace mdisc60=cond((mage+0.001)>=61,1,0) if mgebjahr==1957
 


eststo: xi: xtivreg2 hschool age age2 mage mage2 i.month i.syear (mretired = mdisc60) 				if mage>=50 & mage<=70 & age>=25 & age<=40, fe cluster(pid) partial(i.month i.syear) first savefirst savefprefix(_all_)

eststo: xi: xtivreg2 urban age age2 mage mage2 i.month i.syear (mretired = mdisc60) 				if mage>=50 & mage<=70 & age>=25 & age<=40, fe cluster(pid) partial(i.month i.syear) first savefirst savefprefix(_all_)

eststo: xi: xtivreg2 polinterest age age2 mage mage2 i.month i.syear (mretired = mdisc60) 				if mage>=50 & mage<=70 & age>=25 & age<=40, fe cluster(pid) partial(i.month i.syear) first savefirst savefprefix(_all_)

estout est1 est2 est3 using "${output_path}\Results\TableA2.csv" , keep(mretired) cells(b(star fmt(3)) se(par(`"="("' `")""'))) mlabels(,depvars) style(fixed) stats(widstat N) starlevels(* 0.10 ** 0.050 *** 0.010)  append 
eststo clear


