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Reproducibility package for Building Human Capital Where It Matters: Homes, Neighborhoods, And Workplaces

2026
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Reference ID
FR_WLD_2026_570
Author(s)
Norbert Schady, Joana Silva, Alaka Holla
Collections
Flagships and Reports
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Created on
Feb 09, 2026
Last modified
Mar 19, 2026
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README for Reproducibility package for Building Human Capital Where It Matters: Homes, Neighborhoods, And Workplaces
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Reproducibility verification for Building Human Capital Where It Matters: Homes, Neighborhoods, And Workplaces
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Reproducibility package for Building Human Capital Where It Matters: Homes, Neighborhoods, And Workplaces
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reproducibility_report_FR_WLD_2026_570.pdf
data_hash_report.csv
LICENSE.txt
README.pdf
LICENSE
master_flagship.R
Human-Capital-Flagship-2025.Rproj
renv.lock
Rplots.pdf
README.md
YL_childid_age1.dta
WIDE_ter_comp_v1.dta
pop2015_mf.dta
YL_raw_words_chlevel.dta
netEthiopia.dta
eys_lays_2015_hlo_2020_m.dta
pop2015_f.dta
netIndia.dta
diffnetmath15.dta
arrow_data_stunt_v1.dta
netPeru.dta
netVietnam.dta
eys_lays_2015_hlo_2020_f.dta
diffz_math15.dta
diffsec_comp.dta
OECD_ter_comp_v1.dta
inc2024lvl.dta
YL_raw_words.dta
inc2000lvl.dta
pop2015_m.dta
pop.dta
eys_lays_2015_hlo_2020_mf.dta
inc_latest_lvl.dta
ner.dta
flagship_charts_ch1.qmd
flagship_charts_ch1.docx
stunting_logistic_projection.R
figure_1_5_data_const.do
stunting_logistic_projection.R
raw_data_pull.R
figure_1_5_estimate_baseline_10_years_periods.do
figure_1_5_experience_profiles_income_regions.R
figure_1_6_enrollment.do
flagship_charts_exec_summary.qmd
figure_1_5_master.do
beeswarmplotjob-1.png
beeswarmplottot2-1.png
primary_secondary_tertiary_completionplot-1.png
beeswarmplot1-1.png
trendplotjob-1.png
iloeducationplotglob3-1.png
trendplotjob-2.png
beeswarmplotheight-1.png
scatterpisahlo-1.png
scatterimrstunt-1.png
heighttimecountry-1.png
beeswarmplottot-1.png
educ-1.png
emp_structure_survey.dta
hlo_2025_new_educgp.dta
wb_data_stocktaking.csv
emp_structure_modeled.dta
tertiary_18to24_data.dta
final_ter_WIDE_OECD_v1.dta
lfp_survey.dta
hci_onjob_trend_data.csv
eys_lays_2015_hlo_2020_gender.dta
pop_data_modeled.dta
height_trend_data.csv
wb_country_metadata.csv
ner_prim_inc2024.dta
baseline_estimates_10_years.dta
wb_data_stunting.csv
wb_data_population.csv
height_data.csv
ner_sec_inc2024.dta
ilo_education_work_data.csv
lfp_modeled.dta
iso_codes.csv
OGHIST_2025_07_01.xlsx
maps.Rdata
Fig_1_2_prim_sec_tertiary.csv
stunting_projection_data.csv
Fig_1_1_height_time_income.csv
Fig_1_3_hlo.csv
stunting_projection_results.csv
Fig4a_otj_trend_summary.docx
Fig_I11_stunting.csv
Fig_1_3_hlo_incomegroup.csv
Fig_1_1_height_time_region.csv
Fig1_3_hlo_scatter.svg
Fig_1_5_experience_profiles_income.svg
Fig1_2_primary_secondary_tertiary.svg
Fig1_4_otj_trend.svg
Fig1_1_height_time_country.svg
Fig_I11_stunting_scatter.svg
stunting_logistic_projection.png
Fig1_1_height_time_country.png
Fig1_4_otj_trend.png
Fig1_2_primary_secondary_tertiary.png
Fig_1_5_experience_profiles_income.png
Fig1_3_hlo_scatter.png
Fig_I11_stunting_scatter.png
README.md
run_ch3.do
01_master_file_neighborhoods.do
1_Variance_Quality.do
1_Neigh_charact.do
1_Time travel_Graphs.do
1_San_Salvador_Reg_Discont.do
1_Sanitation.do
Fig_varia_quality.xlsx
Fig_SanSalvador_gang_rd.png
Fig_time_travel.csv
Fig_sanitation.csv
Fig_time_travel.png
Fig_SanSalvador_gang_rd.csv
Fig_sanitation.png
Fig_Neigh_D.png
Fig_Neigh_C.png
Fig_varia_quality_school.png
Fig_Neigh_B.png
Fig_varia_quality_health.png
Fig_time_travel.dta
Fig_Neigh_A.png
Fig_school_quality_Pakistan.csv
Fig_healthcare_quality_India.csv
Fig_Brazil_Britto.csv
data_travel.xlsx
weo_data2.dta
Fig_San_Salvador_Gang_Reg_Discont_CIs_UTF8.csv
Fig_San_Salvador_Gang_Reg_Discont_CIs.csv
Fig_San_Salvador_Gang_Reg_Discont.csv
README.md
run_ch2.do
02_ch2_masterdf.do
13_prep_fam.do
14_prep_data.do
11_prep_child.do
12_prep_adult.do
01_Merge_CrossCountry.do
02_Full_Addons.do
YL_R5_Addons.do
YL_R3_Addons.do
YL_R4_Addons.do
YL_R2_Addons.do
YL_R1_Addons.do
21_MICS_HH.do
22_MICS_CH.do
24_MICS_HL.do
23_MICS_FS.do
10_WDI_DT.do
11_MICS_SPSS.do
24_Fig_2_6.do
21_Fig_2_2.do
10_Interactive_graphs_full.do
31_Fig_B2_1.do
22_Fig_2_3.do
25_Fig_2_7.do
23_Fig_2_4.do
temporary_0.dta
temporary_1.dta
41_Fig_I2_1.do
Interactive_data.do
Fig_3_Homes_Math_new.png
Fig_4_PanelA_Homes_MICS_Maths_MDG.csv
Fig_B1_MICS_Endorses_Uses.csv
Fig_7C_CLB_Chn.png
Fig_4_PanelB_Homes_MICS_Development_Cnt.csv
Fig_4_PanelB_Homes_MICS_Development_NGA.csv
Fig_6_LeftBehind_MICS.csv
Fig_4_PanelC_Homes_MICS_Maths_Cnt.csv
Fig_2_Homes.png
Fig_6_LBCG.png
Fig_3_Box_Homes_YL_Math.csv
Fig_4_PanelA_Homes_MICS_Maths_Cnt.csv
Fig_7B_CLB_Chn.png
Fig_2_Homes_MICS_Children_x_MaternalEd.csv
Fig_3_Box_Homes_YL_PPVT.csv
Fig_7D_CLB_Chn.png
Fig_4_PanelB.png
Fig_7A_CLB_Chn.png
Fig_3_Homes_PPVT_new.png
Fig_4_PanelC.png
Fig_7_Home_left_behind_arrows.csv
Fig_4_PanelA.png
Fig_4_PanelC_Homes_MICS_Maths_THA.csv
Fig_B1_EvU.png
Book_3.dta
MED_O.dta
Care_4.dta
MED_3.dta
Phypun_2.dta
MED_O_fs.dta
MED_3_fs.dta
MED_O_ch.dta
MED_3_ch.dta
pop_1723.dta
lny_2020.dta
Desc_dt.dta
Tonga MICS6 Datasets.zip
Turkmenistan MICS6 SPSS Datasets.zip
Yemen MICS6 Datasets.zip
Belarus MICS6 Datasets.zip
Serbia (Roma Settlements) MICS6 Datasets.zip
Jamaica MICS6 Datasets.zip
Central African Republic MICS6 Datasets.zip
Serbia MICS6 Datasets.zip
Pakistan Khyber Pakhtunkhwa MICS6 Datasets.zip
Kyrgyz Republic MICS6 Datasets.zip
Pakistan (Balochistan) MICS6 Datasets.zip
Honduras MICS6 Datasets.zip
MICS6 Samoa Datasets.zip
Republic of North Macedonia (Roma Settlements) MICS6 Datasets.zip
Nauru MICS6 2023 Datasets.zip
Zimbabwe MICS6 SPSS Datasets.zip
Fiji MICS6 Datasets.zip
Viet Nam MICS6 Datasets.zip
Bangladesh MICS6 SPSS Datasets.zip
Afghanistan MICS6 Datasets.zip
Tuvalu MICS6 Datasets.zip
Algeria MICS6 Datasets.zip
Kiribati MICS6 Datasets.zip
Guyana MICS6 Datasets.zip
Thailand MICS6 2022 Datasets.zip
Vanuatu MICS6 Datasets.zip
Nigeria MICS6 Datasets.zip
Tunisia MICS6 2023 Datasets.zip
Lesotho_MICS6_datasets.zip
Lao PDR MICS6 Datasets.zip
Iraq MICS6 Datasets.zip
DRCongo MICS6 SPSS Datafiles.zip
Cuba MICS6 Datasets.zip
Republic of North Macedonia MICS6 Datasets.zip
State of Palestine MICS6 Datasets.zip
Sierra Leone MICS6 Datasets.zip
Dominican Republic MICS6 Datasets.zip
Benin MICS6 Datasets.zip
Tunisia MICS6 Datasets.zip
Azerbaijan MICS6 2023 Datasets.zip
Ghana MICS6 SPSS Datasets.zip
Turks and Caicos Islands MICS6 Datasets.zip
Trinidad and Tobago MICS6 Datasets.zip
The Gambia MICS6 Datasets.zip
Nepal MICS6 Datasets.zip
Uzbekistan MICS6 Datasets.zip
Kosovo under UNSC res. 1244 MICS6 Datasets.zip
Kosovo (UNSCR 1244) (Roma, Ashkali and Egyptian Communities) MICS6 Datasets.zip
Kyrgyzstan MICS6 2023 Datasets.zip
Montenegro MICS6 Datasets.zip
Eswatini MICS6 Datasets.zip
Mongolia MICS 2018 SPSS Datasets.zip
Togo MICS6 SPSS Datasets.zip
Comoros MICS6 Datasets.zip
Suriname MICS6 SPSS Datafiles.zip
Madagascar MICS6 datasets.zip
Costa Rica MICS6 Datasets.zip
Sao Tome and Principe MICS6 Datasets.zip
Pakistan Punjab MICS6 Datasets.zip
Argentina MICS6 Datasets.zip
Montenegro (Roma Settlements) MICS6 Datasets.zip
Chad MICS6 Datasets.zip
Pakistan Sindh MICS6 Datasets.zip
Georgia MICS6 SPSS Datasets.zip
Guinea Bissau MICS6 Datasets.zip
Malawi MICS6 SPSS.zip
Mexico_MICS5_Datasets.zip
Belize_MICS5_Datasets.zip
Mali_MICS5_Datasets.zip
Cote_dIvoire_MICS5_Datasets.zip
Paraguay_MICS5_Datasets.zip
Panama 2013 MICS_Datasets.zip
Sudan_MICS5_Datasets.zip
El_Salvador_MICS5_Datasets.zip
Kazakhstan_MICS5_Datasets.zip
Congo_MICS5_Datasets.zip
Cameroon_MICS5_Datasets.zip
Mauritania_MICS5_Datasets.zip
Guinea_MICS5_Datasets.zip
run_ch4.do
README.md
05_estimate_profiles.do
04_b_key_numbers.do
04_a_key_numbers.do
06_fig_ilo_stats_neets_not_emp.R
08_fig_ag_tfp_profiles.R
07_fig_stats_labor_type.R
03_ilo_labor_stats.do
09_fig_profiles.R
02_data_prep_ilo_labor_stats.do
01_master_file.do
1_I2D2_Data_country.do
0_SEDLAC_Data Preparation.do
0_Download data.do
1b_GLD_Data_country.do
1a_GLD_Data_country.do
4_emp_sex_age_activity_est.zip
5_emp_sex_status.dta
3_unemp_sex_age.zip
10_emp_status_occup.zip
2_lf_sex_age.dta
9_emp_status_acitvity.zip
3_emp_sex_age.dta
3_emp_sex_age_observed.zip
new_classification.dta
Retexp_clean_cn_const.dta
self_micro_ag_income_iii.dta
5_emp_age_status.dta
1_wap_sex_age.zip
fig_labor_stats_panel_B.dta
6_emp_age_size.zip
fig_labor_stats_panel_C.dta
fig_labor_stats_panel_D.dta
ILOSTAT_final_dataset_ii.dta
8_neet.dta
ILOSTAT_final_dataset.dta
fig_labor_stats_panel_E.dta
regions.dta
self_micro_ag_income.dta
self_employment.xlsx
self_micro_ag_income_ii.dta
weo_data.dta
7_gdp.dta
fig_profile_small_v_large_firms.csv
fig_share_low_qual_inc.png
fig_ag_tfp_profiles.png
fig_ilo_stats_neets_not_emp_reg.png
panel_b_4_6.csv
fig_ilo_stats_neets_not_emp_inc_reg_panelA.csv
fig_ilo_stats_neets_not_emp_inc_reg_panelB.csv
fig_profile_wage_v_self.png
fig_ilo_stats_neets_not_emp_inc.png
panel_a_4_6.csv
fig_labor_stats_inc_group_panel_E.csv
fig_labor_stats_inc_group_panel_D.csv
fig_labor_stats_inc_group_panel_C.csv
fig_labor_stats_inc_group_panel_B.csv
fig_ag_tfp_profiles_ready.csv
fig_4_6.svg
fig_profile_wage_v_self.csv
fig_labor_stats_inc_group_panel_A.csv
fig_share_low_qual_inc_v2.png
fig_profile_small_v_large_firms.png
fig_labor_stats.png
activate.R
settings.json
run_chi.do
README.md
Rplots.pdf
05_master_file_interludes.do
11_Brazil_rais_data_cleaning.do
12_Brazil_data_prep_panel.do
21_China_data_prep_panel.do
31_India_data_prep_panel.do
12_fig_I1_II.do
11_fig_I1_I.do
31_fig_I3_I.R
22_fig_I2_II.do
21_fig_I2_I.do
32_fig_I3_II.do
FigI22.xlsx
pop_2024.dta
Fig_I2_1.csv
Fig_I3_1b.png
Fig_I3_1a.png
Fig_I3_2b.csv
Fig_I1_3.csv
Fig_I1_2.csv
Fig_I3_2a.csv
Fig_I3_1a.csv
Fig_I3_1b.csv
Fig_I3_2a.png
Fig_I1_2.png
Fig_I3_2b.png
Fig_I1_3.png
Fig_I2_1.png
Fig_I2_2.png
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