clear all set more off set maxvar 10000 set mem 500m *Set path *** *cd ---- specify path to \data_replication\scf\proc_data\ local ourprocdata "./our_proc" local output "./output" use taxsim2001.dta, clear *use our processed data *use "`ourprocdata'/taxsim2001.dta", clear **************************************************************************************** **************************************************************************************** *Rent rename X708 rent rename X709 per_rent replace rent=rent*12 if per_rent==4 //monthly replace rent=rent*12*4.34 if per_rent==2 //weekly replace rent=rent*12*2.17 if per_rent==3 //biweekly replace rent=rent*4 if per_rent==5 //quarterly replace rent=rent*2 if per_rent==11 //twice per year replace rent=rent*6 if per_rent==12 //every two months replace rent=rent*12*2 if per_rent==31 //twice a month replace rent=. if per_rent==-1 //none replace rent=. if per_rent==-7 //other gen HELS=cond(X1005-X1004>0,0,max(X1005,0)) // some people report more debt than they took initially *Clean drop J* drop X* ******************************************************************************** *Create wealth variables ******************************************************************************** *Value of all houses replace houses=. if houses<0 replace oresre=. if oresre<0 gen house_val=houses *Homeownership status gen ownership=housecl *liquid assets gen l_assets=max(othfin,0)+max(checking,0)+max(saving,0)+max(mma,0)+max(cds,0)+max(nmmf,0)+max(savbnd,0)+max(stocks,0)+max(bond,0)+oresre+nnresre *mortgage debt gen m_debt=max(NH_MORT,0)-max(HELS,0) drop m_debt gen m_debt=max(NH_MORT,0)+max(heloc,0) *HELOC gen helocs=max(heloc,0)+max(HELS,0) *liquid debt gen l_debt=max(ccbal,0)+max(resdbt,0) *Wealth (net worth) gen wealth=house_val+l_assets-l_debt-m_debt gen hnworth=house_val-m_debt *Age of head gen age_head=age *Generate positive house values gen h1=house_val if house_val>=0 ****** replace inc=inc/equiv replace h1=h1/equiv ****** ****************************** *Drop observation with wealth above 80th percentile ****************************** pctile pct = wealth [w=wgt], nq(100) genp(percent) gen pk1=pct if percent==80 egen mean_pk1=mean(pk1) drop if wealth>mean_pk1 *Drop households that are too young or too old drop if age_head<25 drop if age_head>85 ********************************************************************************************************************************************8 gen t_debt_paym=max(tpay,0)/equiv gen rev_debt_paym=max(revpay,0)/equiv gen mort_debt_paym=max(mortpay,0)/equiv gen cons_debt_paym=max(conspay,0)/equiv ******************************************************************************** *Compute correlation between mtg payments and all other payments ****************************** gen non_mort=cons_debt_paym+rev_debt_paym correlate non_mort mort_debt_paym [weight=wgt] ******************************************************************************** ******************************************************************************** *10 pct PTI ratio, borrowers preserve gen ratio1=mort_debt_paym*12/inc collapse (p10) ratio1 [weight=wgt] if mort_debt_paym>0 gen res=ratio1*0.6 replace res=round(res, 0.01) gen title="10 pct PTI ratio, borrowers" save mpti1.dta, replace restore *25 pct PTI ratio, borrowers preserve gen ratio1=mort_debt_paym*12/inc collapse (p25) ratio1 [weight=wgt] if mort_debt_paym>0 gen res=round(ratio1, 0.01)*0.6 replace res=round(res, 0.01) gen title="25 pct PTI ratio, borrowers" save mpti2.dta, replace restore *Median PTI ratio, borrowers preserve gen ratio1=mort_debt_paym*12/inc collapse (median) ratio1 [weight=wgt] if mort_debt_paym>0 gen res=round(ratio1, 0.01)*0.6 replace res=round(res, 0.01) gen title="Median PTI ratio, borrowers" save mpti3.dta, replace restore *75 pct PTI ratio, borrowers preserve gen ratio1=mort_debt_paym*12/inc collapse (p75) ratio1 [weight=wgt] if mort_debt_paym>0 gen res=round(ratio1, 0.01)*0.6 replace res=round(res, 0.01) gen title="75 pct PTI ratio, borrowers" save mpti4.dta, replace restore *90 pct PTI ratio, borrowers preserve gen ratio1=mort_debt_paym*12/inc collapse (p90) ratio1 [weight=wgt] if mort_debt_paym>0 gen res=round(ratio1, 0.01)*0.6 replace res=round(res, 0.01) gen title="90 pct PTI ratio, borrowers" save mpti5.dta, replace restore forval x=1(1)5{ use mpti`x'.dta, clear keep res title duplicates drop save mpti`x'.dta, replace } use mpti1.dta, clear forval x=2(1)5{ append using mpti`x'.dta } order title res *** cd .. outsheet using "`output'/tab3_panelF.csv", replace c