**************************************** **ENSO Moms & Intergenerational Output** **************************************** global home_dir "/Users/ashleystewart/Desktop/Thesis" **Mom's Outcomes Tables** use "$home_dir/enso_global_mom_xsection.dta", clear drop if country == "benin" | country == "chad" | country == "nigeria" | country == "sierra_leone" | country == "sudan" | country == "yemen" **Health Outcomes** **Nino Lags Averaged (Years 0-5) [DHSID]** **Mom's Height** reghdfe w_height_cm avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_height_flag ==0, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) **Mom's Weight** reghdfe w_weight_kg avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) **Mom's BMI** reghdfe w_bmi avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) **Nino Lags NOT Averaged (Years 0-5) [DHSID]** **Mom's Height** reghdfe w_height_cm cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md f3cpc_nino34_anom_md f4cpc_nino34_anom_md f5cpc_nino34_anom_md [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_height_flag ==0, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) **Mom's Weight** reghdfe w_weight_kg cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md f3cpc_nino34_anom_md f4cpc_nino34_anom_md f5cpc_nino34_anom_md [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) **Mom's BMI** reghdfe w_bmi avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) **Socio-Economic Outcomes** **Nino Lags Averaged (Years 0-5) [DHSID]** **Mom's HH Wealth** reghdfe hh_wealth_ind avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) **Mom's Primary Education** reghdfe edu_primary avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) **Mom's No Education** reghdfe edu_none avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) **Mom's Years of Education** reghdfe edu_singleyrs avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & edu_singleyrs <90, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) **Mom's Worked This Year** reghdfe w_worked_this_year avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & edu_singleyrs <90, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) **Mom's Working Now** reghdfe w_working_now avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & edu_singleyrs <90, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) **Nino Lags NOT Averaged (Years 0-5) [DHSID]** **Mom's HH Wealth** reghdfe hh_wealth_ind cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md f3cpc_nino34_anom_md f4cpc_nino34_anom_md f5cpc_nino34_anom_md [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) **Mom's Primary Education** reghdfe edu_primary cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md f3cpc_nino34_anom_md f4cpc_nino34_anom_md f5cpc_nino34_anom_md [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) **Mom's No Education** reghdfe edu_none cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md f3cpc_nino34_anom_md f4cpc_nino34_anom_md f5cpc_nino34_anom_md [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) **Mom's Years of Education** reghdfe edu_singleyrs cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md f3cpc_nino34_anom_md f4cpc_nino34_anom_md f5cpc_nino34_anom_md [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & edu_singleyrs <90, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) **Mom's Worked This Year** reghdfe w_worked_this_year cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md f3cpc_nino34_anom_md f4cpc_nino34_anom_md f5cpc_nino34_anom_md [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & edu_singleyrs <90, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) **Mom's Working Now** reghdfe w_working_now cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md f3cpc_nino34_anom_md f4cpc_nino34_anom_md f5cpc_nino34_anom_md [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & edu_singleyrs <90, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) **Mom's Outcomes Graphs** **By Region / Decade** **Nino Lags Averaged (Years 0-5) [DHSID]** use "$home_dir/enso_moms_kids_mort_heterogeneity.dta", clear **Height** **Region** twoway (rcap wd_height_ll wd_height_ul group_plots if group_plots >=6, lcolor(green) lwidth(1.5) msize(0)) (scatter wd_height_coeff group_plots if group_plots >=6, msize(2.5) mcolor(olive_teal) mlcolor(black) msymbol(O)), title("Women's Height Outcomes") subtitle("By Region") ytitle("Effect Size (Avg Nino3.4 Years 0-5)", height(5)) xtitle(" ") xlabel(6 `""East Asia" "Pacific""' 7 `""Latin" "America""' 8 `""Middle East" "North Africa""' 9 `""Sub-Saharan" "Africa""' 10 `""South" "Asia""', add) legend(label(1 "Region 95% CI")) legend(label(2 "Region Effects")) ysize(3) xsize(3.5) yline(0, lcolor(black)) scheme(s1mono) **Decade** twoway (rcap wd_height_ll wd_height_ul group_plots if group_plots <6 & group_plots >=1, lcolor(purple) lwidth(1.5) msize(0)) (scatter wd_height_coeff group_plots if group_plots <6 & group_plots >=1, msize(2.5) mcolor(lavender) mlcolor(black) msymbol(O)), title("Women's Height Outcomes") subtitle("By Decade") ytitle("Effect Size (Avg Nino3.4 Years 0-5)", height(5)) xtitle(" ") xlabel(1 "1950s" 2 "1960s" 3 "1970s" 4 "1980s" 5 "1990s", add) legend(label(1 "Decade 95% CI")) legend(label(2 "Decade Effects")) ysize(3) xsize(3.5) yline(0, lcolor(black)) scheme(s1mono) **Region & Decade** twoway (rcap wd_height_ll wd_height_ul group_plots if group_plots <6 & group_plots >=1, lcolor(purple) lwidth(1) msize(0)) (scatter wd_height_coeff group_plots if group_plots <6 & group_plots >=1, msize(1.75) mcolor(lavender) mlcolor(black) msymbol(O)) (rcap wd_height_ll wd_height_ul group_plots if group_plots >=6, lcolor(green) lwidth(1) msize(0)) (scatter wd_height_coeff group_plots if group_plots >=6, msize(1.75) mcolor(olive_teal) mlcolor(black) msymbol(O)), title("Women's Height Outcomes") subtitle("By Region & Decade") ytitle("Effect Size (Avg Nino3.4 Years 0-5)", height(5)) xtitle(" ") xlabel(0 " " 1 "1950s" 2 "1960s" 3 "1970s" 4 "1980s" 5 "1990s" 6 `""East Asia" "Pacific""' 7 `""Latin" "America""' 8 `""Middle East" "North Africa""' 9 `""Sub-Saharan" "Africa""' 10 `""South" "Asia""', add) legend(label(1 "Decade 95% CI")) legend(label(2 "Decade Effects")) legend(label(3 "Region 95% CI")) legend(label(4 "Region Effects")) ysize(3) xsize(4.5) yline(0, lcolor(black)) scheme(s1mono) **Weight** **Region** twoway (rcap wd_weight_ll wd_weight_ul group_plots if group_plots >=6, lcolor(green) lwidth(1.5) msize(0)) (scatter wd_weight_coeff group_plots if group_plots >=6, msize(2.5) mcolor(olive_teal) mlcolor(black) msymbol(O)), title("Women's Weight Outcomes") subtitle("By Region") ytitle("Effect Size (Avg Nino3.4 Years 0-5)", height(5)) xtitle(" ") xlabel(6 `""East Asia" "Pacific""' 7 `""Latin" "America""' 8 `""Middle East" "North Africa""' 9 `""Sub-Saharan" "Africa""' 10 `""South" "Asia""', add) legend(label(1 "Region 95% CI")) legend(label(2 "Region Effects")) ysize(3) xsize(3.5) yline(0, lcolor(black)) scheme(s1mono) **Decade** twoway (rcap wd_weight_ll wd_weight_ul group_plots if group_plots <6 & group_plots >=1, lcolor(purple) lwidth(1.5) msize(0)) (scatter wd_weight_coeff group_plots if group_plots <6 & group_plots >=1, msize(2.5) mcolor(lavender) mlcolor(black) msymbol(O)), title("Women's Weight Outcomes") subtitle("By Decade") ytitle("Effect Size (Avg Nino3.4 Years 0-5)", height(5)) xtitle(" ") xlabel(1 "1950s" 2 "1960s" 3 "1970s" 4 "1980s" 5 "1990s", add) legend(label(1 "Decade 95% CI")) legend(label(2 "Decade Effects")) ysize(3) xsize(3.5) yline(0, lcolor(black)) scheme(s1mono) **Region & Decade** twoway (rcap wd_weight_ll wd_weight_ul group_plots if group_plots <6 & group_plots >=1, lcolor(purple) lwidth(1) msize(0)) (scatter wd_weight_coeff group_plots if group_plots <6 & group_plots >=1, msize(1.75) mcolor(lavender) mlcolor(black) msymbol(O)) (rcap wd_weight_ll wd_weight_ul group_plots if group_plots >=6, lcolor(green) lwidth(1) msize(0)) (scatter wd_weight_coeff group_plots if group_plots >=6, msize(1.75) mcolor(olive_teal) mlcolor(black) msymbol(O)), title("Women's Weight Outcomes") subtitle("By Region & Decade") ytitle("Effect Size (Avg Nino3.4 Years 0-5)", height(5)) xtitle(" ") xlabel(0 " " 1 "1950s" 2 "1960s" 3 "1970s" 4 "1980s" 5 "1990s" 6 `""East Asia" "Pacific""' 7 `""Latin" "America""' 8 `""Middle East" "North Africa""' 9 `""Sub-Saharan" "Africa""' 10 `""South" "Asia""', add) legend(label(1 "Decade 95% CI")) legend(label(2 "Decade Effects")) legend(label(3 "Region 95% CI")) legend(label(4 "Region Effects")) ysize(3) xsize(4.5) yline(0, lcolor(black)) scheme(s1mono) **BMI** **Region** twoway (rcap wd_bmi_ll wd_bmi_ul group_plots if group_plots >=6, lcolor(green) lwidth(1.5) msize(0)) (scatter wd_bmi_coeff group_plots if group_plots >=6, msize(2.5) mcolor(olive_teal) mlcolor(black) msymbol(O)), title("Women's BMI Outcomes") subtitle("By Region") ytitle("Effect Size (Avg Nino3.4 Years 0-5)", height(5)) xtitle(" ") xlabel(6 `""East Asia" "Pacific""' 7 `""Latin" "America""' 8 `""Middle East" "North Africa""' 9 `""Sub-Saharan" "Africa""' 10 `""South" "Asia""', add) legend(label(1 "Region 95% CI")) legend(label(2 "Region Effects")) ysize(3) xsize(3.5) yline(0, lcolor(black)) scheme(s1mono) **Decade** twoway (rcap wd_bmi_ll wd_bmi_ul group_plots if group_plots <6 & group_plots >=1, lcolor(purple) lwidth(1.5) msize(0)) (scatter wd_bmi_coeff group_plots if group_plots <6 & group_plots >=1, msize(2.5) mcolor(lavender) mlcolor(black) msymbol(O)), title("Women's BMI Outcomes") subtitle("By Decade") ytitle("Effect Size (Avg Nino3.4 Years 0-5)", height(5)) xtitle(" ") xlabel(1 "1950s" 2 "1960s" 3 "1970s" 4 "1980s" 5 "1990s", add) legend(label(1 "Decade 95% CI")) legend(label(2 "Decade Effects")) ysize(3) xsize(3.5) yline(0, lcolor(black)) scheme(s1mono) **Region & Decade** twoway (rcap wd_bmi_ll wd_bmi_ul group_plots if group_plots <6 & group_plots >=1, lcolor(purple) lwidth(1) msize(0)) (scatter wd_bmi_coeff group_plots if group_plots <6 & group_plots >=1, msize(1.75) mcolor(lavender) mlcolor(black) msymbol(O)) (rcap wd_bmi_ll wd_bmi_ul group_plots if group_plots >=6, lcolor(green) lwidth(1) msize(0)) (scatter wd_bmi_coeff group_plots if group_plots >=6, msize(1.75) mcolor(olive_teal) mlcolor(black) msymbol(O)), title("Women's BMI Outcomes") subtitle("By Region & Decade") ytitle("Effect Size (Avg Nino3.4 Years 0-5)", height(5)) xtitle(" ") xlabel(0 " " 1 "1950s" 2 "1960s" 3 "1970s" 4 "1980s" 5 "1990s" 6 `""East Asia" "Pacific""' 7 `""Latin" "America""' 8 `""Middle East" "North Africa""' 9 `""Sub-Saharan" "Africa""' 10 `""South" "Asia""', add) legend(label(1 "Decade 95% CI")) legend(label(2 "Decade Effects")) legend(label(3 "Region 95% CI")) legend(label(4 "Region Effects")) ysize(3) xsize(4.5) yline(0, lcolor(black)) scheme(s1mono) **No Education** **Region** twoway (rcap wd_noedu_ll wd_noedu_ul group_plots if group_plots >=6, lcolor(green) lwidth(1.5) msize(0)) (scatter wd_noedu_coeff group_plots if group_plots >=6, msize(2.5) mcolor(olive_teal) mlcolor(black) msymbol(O)), title("Women's No Education Outcomes") subtitle("By Region") ytitle("Effect Size (Avg Nino3.4 Years 0-5)", height(5)) xtitle(" ") xlabel(6 `""East Asia" "Pacific""' 7 `""Latin" "America""' 8 `""Middle East" "North Africa""' 9 `""Sub-Saharan" "Africa""' 10 `""South" "Asia""', add) legend(label(1 "Region 95% CI")) legend(label(2 "Region Effects")) ysize(3) xsize(3.5) yline(0, lcolor(black)) scheme(s1mono) **Decade** twoway (rcap wd_noedu_ll wd_noedu_ul group_plots if group_plots <6 & group_plots >=1, lcolor(purple) lwidth(1.5) msize(0)) (scatter wd_noedu_coeff group_plots if group_plots <6 & group_plots >=1, msize(2.5) mcolor(lavender) mlcolor(black) msymbol(O)), title("Women's No Education Outcomes") subtitle("By Decade") ytitle("Effect Size (Avg Nino3.4 Years 0-5)", height(5)) xtitle(" ") xlabel(1 "1950s" 2 "1960s" 3 "1970s" 4 "1980s" 5 "1990s", add) legend(label(1 "Decade 95% CI")) legend(label(2 "Decade Effects")) ysize(3) xsize(3.5) yline(0, lcolor(black)) scheme(s1mono) **Region & Decade** twoway (rcap wd_noedu_ll wd_noedu_ul group_plots if group_plots <6 & group_plots >=1, lcolor(purple) lwidth(1) msize(0)) (scatter wd_noedu_coeff group_plots if group_plots <6 & group_plots >=1, msize(1.75) mcolor(lavender) mlcolor(black) msymbol(O)) (rcap wd_noedu_ll wd_noedu_ul group_plots if group_plots >=6, lcolor(green) lwidth(1) msize(0)) (scatter wd_noedu_coeff group_plots if group_plots >=6, msize(1.75) mcolor(olive_teal) mlcolor(black) msymbol(O)), title("Women's No Education Outcomes") subtitle("By Region & Decade") ytitle("Effect Size (Avg Nino3.4 Years 0-5)", height(5)) xtitle(" ") xlabel(0 " " 1 "1950s" 2 "1960s" 3 "1970s" 4 "1980s" 5 "1990s" 6 `""East Asia" "Pacific""' 7 `""Latin" "America""' 8 `""Middle East" "North Africa""' 9 `""Sub-Saharan" "Africa""' 10 `""South" "Asia""', add) legend(label(1 "Decade 95% CI")) legend(label(2 "Decade Effects")) legend(label(3 "Region 95% CI")) legend(label(4 "Region Effects")) ysize(3) xsize(4.5) yline(0, lcolor(black)) scheme(s1mono) **Primary Education** **Region** twoway (rcap wd_primary_ll wd_primary_ul group_plots if group_plots >=6, lcolor(green) lwidth(1.5) msize(0)) (scatter wd_primary_coeff group_plots if group_plots >=6, msize(2.5) mcolor(olive_teal) mlcolor(black) msymbol(O)), title("Women's Primary Education Outcomes") subtitle("By Region") ytitle("Effect Size (Avg Nino3.4 Years 0-5)", height(5)) xtitle(" ") xlabel(6 `""East Asia" "Pacific""' 7 `""Latin" "America""' 8 `""Middle East" "North Africa""' 9 `""Sub-Saharan" "Africa""' 10 `""South" "Asia""', add) legend(label(1 "Region 95% CI")) legend(label(2 "Region Effects")) ysize(3) xsize(3.5) yline(0, lcolor(black)) scheme(s1mono) **Decade** twoway (rcap wd_primary_ll wd_primary_ul group_plots if group_plots <6 & group_plots >=1, lcolor(green) lwidth(1.5) msize(0)) (scatter wd_primary_coeff group_plots if group_plots <6 & group_plots >=1, msize(2.5) mcolor(olive_teal) mlcolor(black) msymbol(O)), title("Women's Primary Education Outcomes") subtitle("By Decade") ytitle("Effect Size (Avg Nino3.4 Years 0-5)", height(5)) xtitle(" ") xlabel(1 "1950s" 2 "1960s" 3 "1970s" 4 "1980s" 5 "1990s", add) legend(label(1 "Decade 95% CI")) legend(label(2 "Decade Effects")) ysize(3) xsize(3.5) yline(0, lcolor(black)) scheme(s1mono) **Region & Decade** twoway (rcap wd_primary_ll wd_primary_ul group_plots if group_plots <6 & group_plots >=1, lcolor(purple) lwidth(1) msize(0)) (scatter wd_primary_coeff group_plots if group_plots <6 & group_plots >=1, msize(1.75) mcolor(lavender) mlcolor(black) msymbol(O))(rcap wd_primary_ll wd_primary_ul group_plots if group_plots >=6, lcolor(green) lwidth(1.5) msize(0)) (scatter wd_primary_coeff group_plots if group_plots >=6, msize(2.5) mcolor(olive_teal) mlcolor(black) msymbol(O)), title("Women's Primary Education Outcomes") subtitle("By Region & Decade") ytitle("Effect Size (Avg Nino3.4 Years 0-5)", height(5)) xtitle(" ") xlabel(0 " " 1 "1950s" 2 "1960s" 3 "1970s" 4 "1980s" 5 "1990s" 6 `""East Asia" "Pacific""' 7 `""Latin" "America""' 8 `""Middle East" "North Africa""' 9 `""Sub-Saharan" "Africa""' 10 `""South" "Asia""', add) legend(label(1 "Decade 95% CI")) legend(label(2 "Decade Effects")) legend(label(3 "Region 95% CI")) legend(label(4 "Region Effects")) ysize(3) xsize(4.5) yline(0, lcolor(black)) scheme(s1mono) **Working Now** **Region** twoway (rcap wd_workingnow_ll wd_workingnow_ul group_plots if group_plots >=6, lcolor(green) lwidth(1.5) msize(0)) (scatter wd_workingnow_coeff group_plots if group_plots >=6, msize(2.5) mcolor(olive_teal) mlcolor(black) msymbol(O)), title("Women's Working Now Outcomes") subtitle("By Region") ytitle("Effect Size (Avg Nino3.4 Years 0-5)", height(5)) xtitle(" ") xlabel(6 `""East Asia" "Pacific""' 7 `""Latin" "America""' 8 `""Middle East" "North Africa""' 9 `""Sub-Saharan" "Africa""' 10 `""South" "Asia""', add) legend(label(1 "Region 95% CI")) legend(label(2 "Region Effects")) ysize(3) xsize(3.5) yline(0, lcolor(black)) scheme(s1mono) **Decade** twoway (rcap wd_primary_ll wd_primary_ul group_plots if group_plots <6 & group_plots >=1, lcolor(green) lwidth(1.5) msize(0)) (scatter wd_primary_coeff group_plots if group_plots <6 & group_plots >=1, msize(2.5) mcolor(olive_teal) mlcolor(black) msymbol(O)), title("Women's Working Now Outcomes") subtitle("By Decade") ytitle("Effect Size (Avg Nino3.4 Years 0-5)", height(5)) xtitle(" ") xlabel(1 "1950s" 2 "1960s" 3 "1970s" 4 "1980s" 5 "1990s", add) legend(label(1 "Decade 95% CI")) legend(label(2 "Decade Effects")) ysize(3) xsize(3.5) yline(0, lcolor(black)) scheme(s1mono) **Region & Decade** twoway (rcap wd_workingnow_ll wd_workingnow_ul group_plots if group_plots <6 & group_plots >=1, lcolor(purple) lwidth(1) msize(0)) (scatter wd_workingnow_coeff group_plots if group_plots <6 & group_plots >=1, msize(1.75) mcolor(lavender) mlcolor(black) msymbol(O))(rcap wd_workingnow_ll wd_workingnow_ul group_plots if group_plots >=6, lcolor(green) lwidth(1.5) msize(0)) (scatter wd_workingnow_coeff group_plots if group_plots >=6, msize(2.5) mcolor(olive_teal) mlcolor(black) msymbol(O)), title("Women's Working Now Outcomes") subtitle("By Region & Decade") ytitle("Effect Size (Avg Nino3.4 Years 0-5)", height(5)) xtitle(" ") xlabel(0 " " 1 "1950s" 2 "1960s" 3 "1970s" 4 "1980s" 5 "1990s" 6 `""East Asia" "Pacific""' 7 `""Latin" "America""' 8 `""Middle East" "North Africa""' 9 `""Sub-Saharan" "Africa""' 10 `""South" "Asia""', add) legend(label(1 "Decade 95% CI")) legend(label(2 "Decade Effects")) legend(label(3 "Region 95% CI")) legend(label(4 "Region Effects")) ysize(3) xsize(4.5) yline(0, lcolor(black)) scheme(s1mono) **By Country Graphs (GDP Scatterplots)** **Nino Lags Averaged (Years 0-5) [DHSID]** use "$home_dir/bycountry_coeff_gdp.dta", clear **Height** twoway (scatter height_coeff per_capita_income, mcolor(ebblue)) (lpoly height_coeff per_capita_income, lcolor(purple)), title("Women's Height") subtitle("By GDP") ytitle("Effect Size (Avg Nino3.4 Years 0-5)") xtitle("GDP (Constant 2015 US$)") legend(off) scheme(s1mono) **Weight** twoway (scatter weight_coeff per_capita_income, mcolor(ebblue)) (lfit weight_coeff per_capita_income, lcolor(purple)), title("Women's Weight") subtitle("By GDP") ytitle("Effect Size (Avg Nino3.4 Years 0-5)") xtitle("GDP (Constant 2015 US$)") legend(off) scheme(s1mono) **BMI** twoway (scatter bmi_coeff per_capita_income, mcolor(ebblue)) (lfit bmi_coeff per_capita_income, lcolor(purple)), title("Women's BMI") subtitle("By GDP") ytitle("Effect Size (Avg Nino3.4 Years 0-5)") xtitle("GDP (Constant 2015 US$)") legend(off) scheme(s1mono) **No Education** twoway (scatter edunone_coeff per_capita_income, mcolor(ebblue)) (lfit edunone_coeff per_capita_income, lcolor(purple)), title("Women's No Education") subtitle("By GDP") ytitle("Effect Size (Avg Nino3.4 Years 0-5)") xtitle("GDP (Constant 2015 US$)") legend(off) scheme(s1mono) **Primary Education** twoway (scatter eduprimary_coeff per_capita_income, mcolor(ebblue)) (lfit eduprimary_coeff per_capita_income, lcolor(purple)), title("Women's Primary Education") subtitle("By GDP") ytitle("Effect Size (Avg Nino3.4 Years 0-5)") xtitle("GDP (Constant 2015 US$)") legend(off) scheme(s1mono) **Working Now ** twoway (scatter working_now_coeff per_capita_income, mcolor(ebblue)) (lfit working_now_coeff per_capita_income, lcolor(purple)), title("Women's Working Now") subtitle("By GDP") ytitle("Effect Size (Avg Nino3.4 Years 0-5)") xtitle("GDP (Constant 2015 US$)") legend(off) scheme(s1mono) **Intergenrational Outcomes Tables** **Kids Health Outcomes** **Nino Lags Averaged (Years 0-5) [DHSID]** **Kids Outcomes** use "$home_dir/enso_kids_intergenerational.dta", clear drop if country == "Benin" | country == "Chad" | country == "Nigeria" | country == "Sudan" | country == "Yemen" | country == "SierraLeone" **Children's HAZ** reghdfe child_who_hght4age_z avg_cpc_nino34_05 [aweight=wght_avgcountry] if child_who_hght4age_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_hght4age_z [aweight=wght_avgcountry] if e(sample) **Children's WAZ** reghdfe child_who_wght4age_z avg_cpc_nino34_05 [aweight=wght_avgcountry] if child_who_wght4age_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_wght4age_z [aweight=wght_avgcountry] if e(sample) **Children's WHZ** reghdfe child_who_wght4hght_z avg_cpc_nino34_05 [aweight=wght_avgcountry] if child_who_wght4hght_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_wght4hght_z [aweight=wght_avgcountry] if e(sample) **Child Mortality & Fertility** **Nino Lags Averaged (Years 0-5) [DHSID]** use "$home_dir/enso_global_mom_xsection_mort_fert.dta", clear drop if country == "benin" | country == "chad" | country == "nigeria" | country == "sierra_leone" | country == "sudan" | country == "yemen" **Child Mortality **Any Child** reghdfe any_child_mort avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 , vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum any_child_mort [aweight=wght_avgcountry] if e(sample) **Total Children** reghdfe total_child_mort avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 , vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum total_child_mort [aweight=wght_avgcountry] if e(sample) **Mother's Fertility** **Any Children** reghdfe any_children avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 , vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum any_children [aweight=wght_avgcountry] if e(sample) **Total Chidren** reghdfe total_children avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 , vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum total_children [aweight=wght_avgcountry] if e(sample) **Intergenerational Outcomes Graphs** **By Region** **Nino Lags Averaged (Years 0-5) [DHSID]** use "$home_dir/enso_moms_kids_mort_heterogeneity.dta", clear **Children's HAZ** **By Region** twoway (rcap kd_haz_ll kd_haz_ul group_plots if group_plots >=6 & group_plots <11, lcolor(purple) lwidth(1) msize(0)) (scatter kd_haz_coeff group_plots if group_plots >=6 & group_plots <11, msize(1.75) mcolor(lavender) mlcolor(black) msymbol(O)), title("Children's Outcomes") subtitle("By Region") ytitle("Effect Size (Avg Nino3.4 Years 0-5)", height(5)) xtitle(" ") xlabel(6 `""East Asia" "Pacific""' 7 `""Latin" "America""' 8 `""Middle East" "North Africa""' 9 `""Sub-Saharan" "Africa""' 10 `""South" "Asia""', add) legend(label(1 "Region 95% CI")) legend(label(2 "Region Effects")) ysize(3) xsize(4.5) yline(0, lcolor(black)) scheme(s1mono) **Children's WAZ** **By Region** twoway (rcap kd_waz_ll kd_waz_ul group_plots if group_plots >=6 & group_plots <11, lcolor(purple) lwidth(1) msize(0)) (scatter kd_waz_coeff group_plots if group_plots >=6 & group_plots <11, msize(1.75) mcolor(lavender) mlcolor(black) msymbol(O)), title("Children's Outcomes") subtitle("By Region") ytitle("Effect Size (Avg Nino3.4 Years 0-5)", height(5)) xtitle(" ") xlabel(6 `""East Asia" "Pacific""' 7 `""Latin" "America""' 8 `""Middle East" "North Africa""' 9 `""Sub-Saharan" "Africa""' 10 `""South" "Asia""', add) legend(label(1 "Region 95% CI")) legend(label(2 "Region Effects")) ysize(3) xsize(4.5) yline(0, lcolor(black)) scheme(s1mono) **Children's WHZ** **By Region** twoway (rcap kd_whz_ll kd_whz_ul group_plots if group_plots >=6 & group_plots <11, lcolor(purple) lwidth(1) msize(0)) (scatter kd_whz_coeff group_plots if group_plots >=6 & group_plots <11, msize(1.75) mcolor(lavender) mlcolor(black) msymbol(O)), title("Children's Outcomes") subtitle("By Region") ytitle("Effect Size (Avg Nino3.4 Years 0-5)", height(5)) xtitle(" ") xlabel(6 `""East Asia" "Pacific""' 7 `""Latin" "America""' 8 `""Middle East" "North Africa""' 9 `""Sub-Saharan" "Africa""' 10 `""South" "Asia""', add) legend(label(1 "Region 95% CI")) legend(label(2 "Region Effects")) ysize(3) xsize(4.5) yline(0, lcolor(black)) scheme(s1mono) **Child Mortality & Fertility Graphs** use "$home_dir/enso_moms_kids_mort_heterogeneity.dta", clear **Child Mortality** **Decade** twoway (rcap wd_mort_ll wd_mort_ul group_plots if group_plots <6 & group_plots >=1, lcolor(navy) lwidth(1) msize(0)) (scatter wd_mort_coeff group_plots if group_plots<6 & group_plots >=1, msize(1.75) mcolor(eltblue) mlcolor(black) msymbol(O)), title("Child Mortality Outcomes") subtitle("By Decade") ytitle("Effect Size (Avg Nino3.4 Years 0-5)", height(5)) xtitle(" ") xlabel(1 "1950s" 2 "1960s" 3 "1970s" 4 "1980s" 5 "1990s", add) legend(label(1 "Decade 95% CI")) legend(label(2 "Decade Effects")) ysize(3) xsize(4.5) yline(0, lcolor(black)) scheme(s1mono) **Region twoway (rcap wd_child_mort_ll wd_child_mort_ul group_plots if group_plots >=6 & group_plots <11, lcolor(purple) lwidth(1) msize(0)) (scatter wd_child_mort_coeff group_plots if group_plots >=6 & group_plots <11, msize(1.75) mcolor(lavender) mlcolor(black) msymbol(O)), title("Child Mortality Outcomes") subtitle("By Region") ytitle("Effect Size (Avg Nino3.4 Years 0-5)", height(5)) xtitle(" ") xlabel(6 `""East Asia" "Pacific""' 7 `""Latin" "America""' 8 `""Middle East" "North Africa""' 9 `""Sub-Saharan" "Africa""' 10 `""South" "Asia""', add) legend(label(1 "Region 95% CI")) legend(label(2 "Region Effects")) ysize(3) xsize(4.5) yline(0, lcolor(black)) scheme(s1mono) **Child Fertility** **Decade** twoway (rcap wd_fert_ll child_mort_ul group_plots if group_plots <6 & group_plots >=1, lcolor(navy) lwidth(1) msize(0)) (scatter child_mort_coeff group_plots if group_plots<6 & group_plots >=1, msize(1.75) mcolor(eltblue) mlcolor(black) msymbol(O)), title("Child Mortality Outcomes") subtitle("By Decade") ytitle("Effect Size (Avg Nino3.4 Years 0-5)", height(5)) xtitle(" ") xlabel(1 "1950s" 2 "1960s" 3 "1970s" 4 "1980s" 5 "1990s", add) legend(label(1 "Decade 95% CI")) legend(label(2 "Decade Effects")) ysize(3) xsize(4.5) yline(0, lcolor(black)) scheme(s1mono) **Region twoway (rcap wd_fert_ll wd_fert_ul group_plots if group_plots >=6 & group_plots <11, lcolor(purple) lwidth(1) msize(0)) (scatter wd_fert_coeff group_plots if group_plots >=6 & group_plots <11, msize(1.75) mcolor(lavender) mlcolor(black) msymbol(O)), title("Mother's Fertility Outcomes") subtitle("By Region") ytitle("Effect Size (Avg Nino3.4 Years 0-5)", height(5)) xtitle(" ") xlabel(6 `""East Asia" "Pacific""' 7 `""Latin" "America""' 8 `""Middle East" "North Africa""' 9 `""Sub-Saharan" "Africa""' 10 `""South" "Asia""', add) legend(label(1 "Region 95% CI")) legend(label(2 "Region Effects")) ysize(3) xsize(4.5) yline(0, lcolor(black)) scheme(s1mono) ************ **Appendix** ************ **Mom's Outcomes** use "$home_dir/enso_global_mom_xsection.dta", clear drop if country == "benin" | country == "chad" | country == "nigeria" | country == "sierra_leone" | country == "sudan" | country == "yemen" **Table1 - Descriptive Statistics** **Entire Population** summarize w_height_cm w_weight_kg w_bmi hh_wealth_ind edu_primary edu_none edu_singleyrs **By Decade** **1950s** summarize w_height_cm w_weight_kg w_bmi hh_wealth_ind edu_primary edu_none edu_singleyrs if decade_code == 1950 **1960s** summarize w_height_cm w_weight_kg w_bmi hh_wealth_ind edu_primary edu_none edu_singleyrs if decade_code == 1960 **1970s** summarize w_height_cm w_weight_kg w_bmi hh_wealth_ind edu_primary edu_none edu_singleyrs if decade_code == 1970 **1980s** summarize w_height_cm w_weight_kg w_bmi hh_wealth_ind edu_primary edu_none edu_singleyrs if decade_code == 1980 **1990s** summarize w_height_cm w_weight_kg w_bmi hh_wealth_ind edu_primary edu_none edu_singleyrs if decade_code == 1990 **By Region** **East Asia & Pacific** summarize w_height_cm w_weight_kg w_bmi hh_wealth_ind edu_primary edu_none edu_singleyrs if unicefregion_code == 2 **Latin America & Carribean** summarize w_height_cm w_weight_kg w_bmi hh_wealth_ind edu_primary edu_none edu_singleyrs if unicefregion_code == 3 **Middle East & North Africa** summarize w_height_cm w_weight_kg w_bmi hh_wealth_ind edu_primary edu_none edu_singleyrs if unicefregion_code == 4 **Sub-Saharan Africa** summarize w_height_cm w_weight_kg w_bmi hh_wealth_ind edu_primary edu_none edu_singleyrs if unicefregion_code == 5 **South Asia** summarize w_height_cm w_weight_kg w_bmi hh_wealth_ind edu_primary edu_none edu_singleyrs if unicefregion_code == 6 **By Area Type** **Rural** summarize w_height_cm w_weight_kg w_bmi hh_wealth_ind edu_primary edu_none edu_singleyrs if rural == 1 **Urban** summarize w_height_cm w_weight_kg w_bmi hh_wealth_ind edu_primary edu_none edu_singleyrs if urban == 1 **Table2a - Health Outcomes NOT Averaged 0-2 Years** **Mom's Height** reghdfe w_height_cm cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_height_flag ==0, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum w_height_cm [aweight=wght_avgcountry] if e(sample) **Mom's Weight** reghdfe w_weight_kg cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum w_weight_kg [aweight=wght_avgcountry] if e(sample) **Mom's BMI** reghdfe w_bmi cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum w_bmi [aweight=wght_avgcountry] if e(sample) **Table2b- Health Outcomes Averaged 0-2 Years** **Mom's Height** reghdfe w_height_cm avg_cpc_nino34_02 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_height_flag ==0, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum w_height_cm [aweight=wght_avgcountry] if e(sample) **Mom's Weight** reghdfe w_weight_kg avg_cpc_nino34_02 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum w_weight_kg [aweight=wght_avgcountry] if e(sample) **Mom's BMI** reghdfe w_bmi avg_cpc_nino34_02 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum w_bmi [aweight=wght_avgcountry] if e(sample) **Table3a - Socio-Economic Outcomes NOT Averaged 0-2 Years** **Mom's HH Wealth** reghdfe hh_wealth_ind cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum hh_wealth_ind [aweight=wght_avgcountry] if e(sample) **Mom's Primary Education** reghdfe edu_primary cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum edu_primary [aweight=wght_avgcountry] if e(sample) **Mom's No Education** reghdfe edu_none cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum edu_none [aweight=wght_avgcountry] if e(sample) **Mom's Years of Education** reghdfe edu_singleyrs cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & edu_singleyrs <90, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum edu_singleyrs [aweight=wght_avgcountry] if e(sample) **Mom's Worked This Year** reghdfe w_worked_this_year cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & edu_singleyrs <90, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum w_worked_this_year [aweight=wght_avgcountry] if e(sample) **Mom's Working Now** reghdfe w_working_now cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & edu_singleyrs <90, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum w_working_now [aweight=wght_avgcountry] if e(sample) **Table3b - Socio-Economic Outcomes Averaged 0-2 Years** **Mom's HH Wealth** reghdfe hh_wealth_ind avg_cpc_nino34_02 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum hh_wealth_ind [aweight=wght_avgcountry] if e(sample) **Mom's Primary Education** reghdfe edu_primary avg_cpc_nino34_02 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum edu_primary [aweight=wght_avgcountry] if e(sample) **Mom's No Education** reghdfe edu_none avg_cpc_nino34_02 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum edu_none [aweight=wght_avgcountry] if e(sample) **Mom's Years of Education** reghdfe edu_singleyrs avg_cpc_nino34_02 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & edu_singleyrs <90, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum edu_singleyrs [aweight=wght_avgcountry] if e(sample) **Mom's Worked This Year** reghdfe w_worked_this_year avg_cpc_nino34_02 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & edu_singleyrs <90, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum w_worked_this_year [aweight=wght_avgcountry] if e(sample) **Mom's Working Now** reghdfe w_working_now avg_cpc_nino34_02 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & edu_singleyrs <90, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum w_working_now [aweight=wght_avgcountry] if e(sample) **Table4a - Rural Outcomes Averaged 0-5 Years** *Mom's Height** reghdfe w_height_cm avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_height_flag ==0 & rural==1, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum w_height_cm [aweight=wght_avgcountry] if e(sample) **Mom's Weight** reghdfe w_weight_kg avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0 & rural==1, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum w_weight_kg [aweight=wght_avgcountry] if e(sample) **Mom's BMI** reghdfe w_bmi avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0 & rural==1, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum w_bmi [aweight=wght_avgcountry] if e(sample) **Mom's HH Wealth** reghdfe hh_wealth_ind avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0 & rural==1, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum hh_wealth_ind [aweight=wght_avgcountry] if e(sample) **Mom's Primary Education** reghdfe edu_primary avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0 & rural==1, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum edu_primary [aweight=wght_avgcountry] if e(sample) **Mom's No Education** reghdfe edu_none avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0 & rural==1, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum edu_none [aweight=wght_avgcountry] if e(sample) **Mom's Years of Education** reghdfe edu_singleyrs avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & edu_singleyrs <90 & rural==1, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum edu_singleyrs [aweight=wght_avgcountry] if e(sample) **Mom's Worked This Year** reghdfe w_worked_this_year avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & edu_singleyrs <90 & rural==1, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum w_worked_this_year [aweight=wght_avgcountry] if e(sample) **Mom's Working Now** reghdfe w_working_now avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & edu_singleyrs <90 & rural==1, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum w_working_now [aweight=wght_avgcountry] if e(sample) **Table4b - Urban Outcomes Averaged 0-5 Years** *Mom's Height** reghdfe w_height_cm avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_height_flag ==0 & urban==1, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum w_height_cm [aweight=wght_avgcountry] if e(sample) **Mom's Weight** reghdfe w_weight_kg avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0 & urban==1, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum w_weight_kg [aweight=wght_avgcountry] if e(sample) **Mom's BMI** reghdfe w_bmi avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0 & urban==1, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum w_bmi [aweight=wght_avgcountry] if e(sample) **Mom's HH Wealth** reghdfe hh_wealth_ind avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0 & urban==1, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum hh_wealth_ind [aweight=wght_avgcountry] if e(sample) **Mom's Primary Education** reghdfe edu_primary avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0 & urban==1, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum edu_primary [aweight=wght_avgcountry] if e(sample) **Mom's No Education** reghdfe edu_none avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & w_weight_flag ==0 & urban==1, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum edu_none [aweight=wght_avgcountry] if e(sample) **Mom's Worked This Year** reghdfe w_worked_this_year avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & edu_singleyrs <90 & urban==1, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum w_worked_this_year [aweight=wght_avgcountry] if e(sample) **Mom's Working Now** reghdfe w_working_now avg_cpc_nino34_05 [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 & edu_singleyrs <90 & urban==1, vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum w_working_now [aweight=wght_avgcountry] if e(sample) ***************************** **Intergenrational Outcomes** ***************************** use "$home_dir/enso_kids_intergenerational.dta", clear drop if country == "Benin" | country == "Chad" | country == "Nigeria" | country == "Sudan" | country == "Yemen" | country == "SierraLeone" **Table5 - Health Outcomes NOT Averaged 0-5 Years** **Children's HAZ** reghdfe child_who_hght4age_z cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md f3cpc_nino34_anom_md f4cpc_nino34_anom_md f5cpc_nino34_anom_md [aweight=wght_avgcountry] if child_who_hght4age_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_hght4age_z [aweight=wght_avgcountry] if e(sample) **Children's WAZ** reghdfe child_who_wght4age_z cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md f3cpc_nino34_anom_md f4cpc_nino34_anom_md f5cpc_nino34_anom_md [aweight=wght_avgcountry] if child_who_wght4age_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_wght4age_z [aweight=wght_avgcountry] if e(sample) **Children's WHZ** reghdfe child_who_wght4hght_z cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md f3cpc_nino34_anom_md f4cpc_nino34_anom_md f5cpc_nino34_anom_md [aweight=wght_avgcountry] if child_who_wght4hght_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_wght4hght_z [aweight=wght_avgcountry] if e(sample) **Table6a - Health Outcomes Averaged 0-2 Years** **Children's HAZ** reghdfe child_who_hght4age_z avg_cpc_nino34_02 [aweight=wght_avgcountry] if child_who_hght4age_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_hght4age_z [aweight=wght_avgcountry] if e(sample) **Children's WAZ** reghdfe child_who_wght4age_z avg_cpc_nino34_02 [aweight=wght_avgcountry] if child_who_wght4age_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_wght4age_z [aweight=wght_avgcountry] if e(sample) **Children's WHZ** reghdfe child_who_wght4hght_z avg_cpc_nino34_02 [aweight=wght_avgcountry] if child_who_wght4hght_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_wght4hght_z [aweight=wght_avgcountry] if e(sample) **Table6b - Health Outcomes NOT Averaged 0-2 Years** **Children's HAZ** reghdfe child_who_hght4age_z cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md [aweight=wght_avgcountry] if child_who_hght4age_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_hght4age_z [aweight=wght_avgcountry] if e(sample) **Children's WAZ** reghdfe child_who_wght4age_z cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md [aweight=wght_avgcountry] if child_who_wght4age_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_wght4age_z [aweight=wght_avgcountry] if e(sample) **Children's WHZ** reghdfe child_who_wght4hght_z cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md [aweight=wght_avgcountry] if child_who_wght4hght_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_wght4hght_z [aweight=wght_avgcountry] if e(sample) **Table 7 - Mortality Outcomes NOT Averaged 0-5 Years** use "$home_dir/enso_global_mom_xsection_mort_fert.dta", clear drop if country == "benin" | country == "chad" | country == "nigeria" | country == "sierra_leone" | country == "sudan" | country == "yemen" **Child Mortality **Any Child** reghdfe any_child_mort cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md f3cpc_nino34_anom_md f4cpc_nino34_anom_md f5cpc_nino34_anom_md [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 , vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum any_child_mort [aweight=wght_avgcountry] if e(sample) **Total Children** reghdfe total_child_mort cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md f3cpc_nino34_anom_md f4cpc_nino34_anom_md f5cpc_nino34_anom_md [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 , vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum total_child_mort [aweight=wght_avgcountry] if e(sample) **Mother's Fertility** **Any Children** reghdfe any_children cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md f3cpc_nino34_anom_md f4cpc_nino34_anom_md f5cpc_nino34_anom_md [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 , vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum any_children [aweight=wght_avgcountry] if e(sample) **Total Chidren** reghdfe total_children cpc_nino34_anom_md f1cpc_nino34_anom_md f2cpc_nino34_anom_md f3cpc_nino34_anom_md f4cpc_nino34_anom_md f5cpc_nino34_anom_md [aweight=wght_avgcountry] if teleconnected_dummy ==1 &pos_prcp_p50 ==0 & w_birth_year<1994 & w_birth_year>=1956 , vce(cluster i.w_birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##c.w_birth_year) sum total_children [aweight=wght_avgcountry] if e(sample) **Table8a - Pre 2000s Outcomes Averaged 0-5 Years** use "$home_dir/enso_kids_intergenerational.dta", clear drop if country == "Benin" | country == "Chad" | country == "Nigeria" | country == "Sudan" | country == "Yemen" | country == "SierraLeone" **Children's HAZ** reghdfe child_who_hght4age_z avg_cpc_nino34_05 [aweight=wght_avgcountry] if child_who_hght4age_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994 & birth_year <2000, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_hght4age_z [aweight=wght_avgcountry] if e(sample) **Children's WAZ** reghdfe child_who_wght4age_z avg_cpc_nino34_05 [aweight=wght_avgcountry] if child_who_wght4age_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994 & birth_year <2000, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_wght4age_z [aweight=wght_avgcountry] if e(sample) **Children's WHZ** reghdfe child_who_wght4hght_z avg_cpc_nino34_05 [aweight=wght_avgcountry] if child_who_wght4hght_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994 & birth_year <2000, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_wght4hght_z [aweight=wght_avgcountry] if e(sample) **Table8b - Post 2000s Outcomes Averaged 0-5 Years** **Children's HAZ** reghdfe child_who_hght4age_z avg_cpc_nino34_05 [aweight=wght_avgcountry] if child_who_hght4age_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994 & birth_year >=2000, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_hght4age_z [aweight=wght_avgcountry] if e(sample) **Children's WAZ** reghdfe child_who_wght4age_z avg_cpc_nino34_05 [aweight=wght_avgcountry] if child_who_wght4age_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994 & birth_year >=2000, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_wght4age_z [aweight=wght_avgcountry] if e(sample) **Children's WHZ** reghdfe child_who_wght4hght_z avg_cpc_nino34_05 [aweight=wght_avgcountry] if child_who_wght4hght_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994 & birth_year >=2000, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_wght4hght_z [aweight=wght_avgcountry] if e(sample) **Table9a - Rural Outcomes Averaged 0-5 Years** **Children's HAZ** reghdfe child_who_hght4age_z avg_cpc_nino34_05 [aweight=wght_avgcountry] if child_who_hght4age_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994 & rural==1, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_hght4age_z [aweight=wght_avgcountry] if e(sample) **Children's WAZ** reghdfe child_who_wght4age_z avg_cpc_nino34_05 [aweight=wght_avgcountry] if child_who_wght4age_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994 & rural==1, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_wght4age_z [aweight=wght_avgcountry] if e(sample) **Children's WHZ** reghdfe child_who_wght4hght_z avg_cpc_nino34_05 [aweight=wght_avgcountry] if child_who_wght4hght_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994 & rural==1, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_wght4hght_z [aweight=wght_avgcountry] if e(sample) **Table9b - Urban Outcomes Averaged 0-5 Years** **Children's HAZ** reghdfe child_who_hght4age_z avg_cpc_nino34_05 [aweight=wght_avgcountry] if child_who_hght4age_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994 & urban==1, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_hght4age_z [aweight=wght_avgcountry] if e(sample) **Children's WAZ** reghdfe child_who_wght4age_z avg_cpc_nino34_05 [aweight=wght_avgcountry] if child_who_wght4age_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994 & urban==1, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_wght4age_z [aweight=wght_avgcountry] if e(sample) **Children's WHZ** reghdfe child_who_wght4hght_z avg_cpc_nino34_05 [aweight=wght_avgcountry] if child_who_wght4hght_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994 & urban==1, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_wght4hght_z [aweight=wght_avgcountry] if e(sample) **Table10a - Mom Primary YES Outcomes Averaged 0-5 Years** **Children's HAZ** reghdfe child_who_hght4age_z avg_cpc_nino34_05 [aweight=wght_avgcountry] if child_who_hght4age_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994 & edu_primary==1, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_hght4age_z [aweight=wght_avgcountry] if e(sample) **Children's WAZ** reghdfe child_who_wght4age_z avg_cpc_nino34_05 [aweight=wght_avgcountry] if child_who_wght4age_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994 & edu_primary==1, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_wght4age_z [aweight=wght_avgcountry] if e(sample) **Children's WHZ** reghdfe child_who_wght4hght_z avg_cpc_nino34_05 [aweight=wght_avgcountry] if child_who_wght4hght_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994 & edu_primary==1, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_wght4hght_z [aweight=wght_avgcountry] if e(sample) **Table10b - Moms Primary NO Outcomes Averaged 0-5 Years** **Children's HAZ** reghdfe child_who_hght4age_z avg_cpc_nino34_05 [aweight=wght_avgcountry] if child_who_hght4age_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994 & edu_primary==0, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_hght4age_z [aweight=wght_avgcountry] if e(sample) **Children's WAZ** reghdfe child_who_wght4age_z avg_cpc_nino34_05 [aweight=wght_avgcountry] if child_who_wght4age_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994 & edu_primary==0, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_wght4age_z [aweight=wght_avgcountry] if e(sample) **Children's WHZ** reghdfe child_who_wght4hght_z avg_cpc_nino34_05 [aweight=wght_avgcountry] if child_who_wght4hght_fl ==0 & teleconnected_dummy ==1 & pos_prcp_p50 ==0 & child_age_mnths<60 & child_age_mnths>=12 & w_birth_year >=1956 & w_birth_year <1994 & edu_primary==0, vce(cluster i.birth_year i.std_adm_region_code) absorb(i.dhsid i.unicefregion_code##i.birth_year) sum child_who_wght4hght_z [aweight=wght_avgcountry] if e(sample) *************************** **Mom's Outcomes - Graphs** *************************** use "$home_dir/enso_global_mom_xsection.dta", clear **Fig1 - Birth Cohorts** histogram w_birth_year, by(country) **Fig2 - Residuals - Computed separately** **Country Maps - Done using R**