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PRWP

Reproducibility package for The Welfare Cost of Drought in Sub-Saharan Africa

2025
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Reference ID
RR_SSA_2024_250
DOI
https://doi.org/10.60572/385g-5c44
Author(s)
Ruth Hill , Sandra Baquie , Katja Vinha , Emmanuel Skoufias , Evie Calcutt, Varun Kshirsagar , Conor Meenan, Jon Gascoigne
Collections
World Bank Policy Research Working Papers
Metadata
JSON
Created on
Jul 09, 2025
Last modified
Jul 09, 2025
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Other Materials
README for the reproducibility package for The Welfare Cost of Drought in Sub-Saharan Africa
Download [PDF, 345.51 KB]
Reproducibility verification for the reproducibility package for The Welfare Cost of Drought in Sub-Saharan Africa
Download [PDF, 137.56 KB]
Reproducibility package for The Welfare Cost of Drought in Sub-Saharan Africa
Download [ZIP, 681.13 MB]
Download https://reproducibility.worldbank.org/index.php/catalog/301/download/903
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comparison_report.csv
data_hash_report.csv
LICENSE.txt
README.pdf
backup.trk
carryforward.ado
carryforward.hlp
distinct.ado
distinct.hlp
estadd.ado
estadd.hlp
estout.ado
estout.hlp
estpost.ado
estpost.hlp
eststo.ado
eststo.hlp
esttab.ado
esttab.hlp
figout.ado
figout.hlp
filelist.ado
filelist.sthlp
geonear.ado
geonear.hlp
grstyle.ado
grstyle.hlp
grstyle_set.ado
grstyle_set.hlp
labcd.ado
labcd.hlp
labcopy.ado
labcopy.hlp
labdel.ado
labdel.hlp
labdtch.ado
labdtch.hlp
lablog.ado
lablog.hlp
labmap.ado
labmap.hlp
labmask.ado
labmask.hlp
labnoeq.ado
labnoeq.hlp
labvalch.ado
labvalch.hlp
labvalclone.ado
labvalclone.sthlp
labvalcombine.ado
labvalcombine.hlp
labvarch.ado
labvarch.hlp
outreg2.ado
outreg2.hlp
outreg2.pref
outreg2_prf.ado
seeout.ado
seeout.hlp
shellout.ado
shellout.hlp
stata.trk
tabout.ado
tabout.hlp
tabstatout.ado
unique.ado
unique.sthlp
_eststo.ado
_eststo.hlp
Ethiopia_dataprep.do
Ethiopia_EP_curves_prg.do
HH_Survey_Hazard_Integration_Ethiopia.do
HH_Survey_Hazard_Integration_Lesotho.do
Lesotho_dataprep.do
Lesotho_EP_curves_prg.do
geo_vars.do
HH_Survey_Hazard_Integration_Malawi.do
IHS25_add.do
IHS5_data.do
Malawi_dataprep.do
Malawi_EP_curves_prg.do
MWI_EP_simulated_rev_data.do
HH_Survey_Hazard_Integration_Mauritania.do
Mauritania_dataprep.do
Mauritania_EP_curves_prg.do
HH_Survey_Hazard_Integration_Mozambique.do
Mozambique_dataprep.do
Mozambique_EP_curves_prg.do
HH_Survey_Hazard_Integration_Niger.do
Niger_dataprep.do
HH_Survey_Hazard_Integration_Nigeria.do
Nigeria_dataprep.do
Nigeria_EP_curves_prg.do
Harmonized_data.do
historical_hazards.do
historical_hazards_rs.do
load_programs_pooled.do
outcomes_poly_cons_land_gps.do
outcomes_poly_cons_land_s_int.do
outcomes_poly_cons_land_wt_int.do
outcomes_poly_cons_tlu_wt_int.do
outcomes_poly_disag_cons_land.do
Regressions_pooled.do
residualizing_variation_agro_rs.do
residualizing_variation_gs_v2.do
residualizing_variation_rs_v2.do
tosimulations_linear_int.do
tosimulations_linear_int_ose.do
tosimulations_linear_int_rs.do
tosimulations_linear_int_rs_ose.do
HH_Survey_Hazard_Integration_Zambia.do
Zambia_dataprep.do
Zambia_EP_curves_prg.do
HH_Survey_Hazard_Integration_Zimbabwe.do
Zimbabwe_dataprep.do
Zimbabwe_EP_curves_prg.do
country_crop_cycles.do
country_rainy_season.do
hazard_map.do
hh_admin_spatial_average.do
hh_chirps_rs_time_series.do
hh_chirps_time_series.do
hh_cons_merge_all_hazard.do
hh_cons_merge_all_hazard_adm.do
hh_distance.do
hh_distance_old.do
hh_local_spatial_average.do
hh_national_spatial_average.do
hh_ndvi_rs_time_series.do
hh_ndvi_time_series.do
hh_spei3_time_series.do
hh_swi_rs_time_series.do
hh_swi_time_series.do
hh_temper_time_series.do
hh_wrsi2_time_series.do
hh_wrsi_time_series.do
load_data.do
load_data_owngrid.do
load_programs.do
merge_hh_hazard_data.do
merge_hh_hazard_data_nat.do
merge_hh_hazard_data_with_uniqid.do
Drought_paper_analyses.do
crop_calendar_gaul_asap1.csv
year_dekad_2000_2020.dta
ETH_aez_urg005_mapping.csv
LSO_aez_urg005_mapping.csv
MOZ_aez_urg005_mapping.csv
MRT_aez_urg005_mapping.csv
MWI_aez_urg005_mapping.csv
NER_aez_urg005_mapping.csv
NGA_aez_urg005_mapping.csv
ZMB_aez_urg005_mapping.csv
ZWE_aez_urg005_mapping.csv
ETH_gaul1_asap_urg005_mapping.csv
LSO_gaul1_asap_urg005_mapping.csv
MOZ_gaul1_asap_urg005_mapping.csv
MRT_gaul1_asap_urg005_mapping.csv
MWI_gaul1_asap_urg005_mapping.csv
NER_gaul1_asap_urg005_mapping.csv
NGA_gaul1_asap_urg005_mapping.csv
ZMB_gaul1_asap_urg005_mapping.csv
ZWE_gaul1_asap_urg005_mapping.csv
ETH_CROPCOV19_mapping.csv
ETH_CROPCOV_19_mapping.csv
LSO_CROPCOV19_mapping.csv
MOZ_CROPCOV19_mapping.csv
MRT_CROPCOV19_mapping.csv
MWI_CROPCOV19_mapping.csv
NER_CROPCOV19_mapping.csv
NGA_CROPCOV19_mapping.csv
ZMB_CROPCOV19_mapping.csv
ZWE_CROPCOV19_mapping.csv
ETH_gadm_admin_urg005_mapping.csv
LSO_gadm_admin_urg005_mapping.csv
MOZ_gadm_admin_urg005_mapping.csv
MRT_gadm_admin_urg005_mapping.csv
MWI_gadm_admin_urg005_mapping.csv
NER_gadm_admin_urg005_mapping.csv
NGA_gadm_admin_urg005_mapping.csv
ZMB_gadm_admin_urg005_mapping.csv
ZWE_gadm_admin_urg005_mapping.csv
crop_calendar_gaul0.csv
crop_calendar_gaul1.csv
crop_calendar_gaul_asap1.csv
gadm_admin_geodata.csv
rainy_season.csv
rainy_season.xlsx
ETH_NDVI_monthly.csv
LSO_NDVI_monthly.csv
MOZ_NDVI_monthly.csv
MRT_NDVI_monthly.csv
MWI_NDVI_monthly.csv
NER_NDVI_monthly.csv
NGA_NDVI_monthly.csv
ZMB_NDVI_monthly.csv
ZWE_NDVI_monthly.csv
ETH_SPEI03_dekad.csv
LSO_SPEI03_dekad.csv
MOZ_SPEI03_dekad.csv
MRT_SPEI03_dekad.csv
MWI_SPEI03_dekad.csv
NER_SPEI03_dekad.csv
NGA_SPEI03_dekad.csv
ZMB_SPEI03_dekad.csv
ZWE_SPEI03_dekad.csv
ETH_SWI10_040_dekad.csv
LSO_SWI10_040_dekad.csv
MOZ_SWI10_040_dekad.csv
MRT_SWI10_040_dekad.csv
MWI_SWI10_040_dekad.csv
NER_SWI10_040_dekad.csv
NGA_SWI10_040_dekad.csv
ZMB_SWI10_040_dekad.csv
ZWE_SWI10_040_dekad.csv
ETH_ttm_urg005_mapping.csv
LSO_ttm_urg005_mapping.csv
MOZ_ttm_urg005_mapping.csv
MRT_ttm_urg005_mapping.csv
MWI_ttm_urg005_mapping.csv
NER_ttm_urg005_mapping.csv
NGA_ttm_urg005_mapping.csv
ZMB_ttm_urg005_mapping.csv
ZWE_ttm_urg005_mapping.csv
ETH_wrsi_do_dekad_ALL.csv
LSO_wrsi_do_dekad_ALL.csv
MOZ_wrsi_do_dekad_ALL.csv
MWI_wrsi_do_dekad_ALL.csv
NER_wrsi_do_dekad_ALL.csv
NGA_wrsi_do_dekad_ALL.csv
ZMB_wrsi_do_dekad_ALL.csv
ZWE_wrsi_do_dekad_ALL.csv
figure41_2_LZ1_anomaly_chirps_p_r20.gph
figure41_2_LZ1_anomaly_ndvi_p_r20.gph
figure41_2_LZ1_anomaly_spei3_p_r20.gph
figure41_2_LZ1_anomaly_swi_p_r20.gph
figure41_2_LZ4_anomaly_chirps_p_r20.gph
figure41_2_LZ4_anomaly_ndvi_p_r20.gph
figure41_2_LZ4_anomaly_spei3_p_r20.gph
figure41_2_LZ4_anomaly_swi_p_r20.gph
figure41_2_LZ5_anomaly_chirps_p_r20.gph
figure41_2_LZ5_anomaly_ndvi_p_r20.gph
figure41_2_LZ5_anomaly_spei3_p_r20.gph
figure41_2_LZ5_anomaly_swi_p_r20.gph
figure51_base_Ethiopia_r20.jpg
figure51_base_Lesotho_r20.jpg
figure51_base_Malawi_r20.jpg
figure51_base_Mauritania_r20.jpg
figure51_base_Mozambique_r20.jpg
figure51_base_Nigeria_r20.jpg
figure51_base_Zambia_r20.jpg
figure51_base_Zimbabwe_r20.jpg
figure52_base_Ethiopia_r20.jpg
figure52_base_Lesotho_r20.jpg
figure52_base_Malawi_r20.jpg
figure52_base_Mauritania_r20.jpg
figure52_base_Mozambique_r20.jpg
figure52_base_Nigeria_r20.jpg
figure52_base_Zambia_r20.jpg
figure52_base_Zimbabwe_r20.jpg
figure53a.jpg
figure53b.jpg
table32_LZ1_r20.txt
table32_LZ2_r20.txt
table32_LZ3_r20.txt
table32_LZ4_r20.txt
table32_LZ5_r20.txt
table34_agropastoral_r20.txt
table34_gs_r20.txt
table34_pastoral_r20.txt
table35_r20.xlsx
table36_agropastoral_r20.txt
table36_gs_r20.txt
table36_pastoral_r20.txt
table41_r20.xls
table42_r20.xls
table43_r20.xls
table44_r20.xls
table45_r20.xls
table46.xls
table47_r20.xls
table48_r20.xls
table51_r20.xls
table52_r20.xlsx
reproducibility_report_RR_SSA_2024_250.pdf
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