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PRWP

Reproducibility package for Diffusion In Social Networks: Experimental Evidence On Information Sharing Vs Persuasion

2025
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Reference ID
RR_IND_2025_371
DOI
https://doi.org/10.60572/srha-j587
Author(s)
Marcel Fafchamps, Asad Islam, Debayan Pakrashi, Denni Tommasi
Collections
World Bank Policy Research Working Papers
Metadata
JSON
Created on
Sep 08, 2025
Last modified
Oct 16, 2025
  • Project Description
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Other Materials
README for the reproducibility package for Diffusion In Social Networks: Experimental Evidence On Information Sharing Vs Persuasion
Download [PDF, 81.39 KB]
Download https://reproducibility.worldbank.org/index.php/catalog/323/download/981
Reproducibility verification for the reproducibility package for Diffusion In Social Networks: Experimental Evidence On Information Sharing Vs Persuasion
Download [PDF, 141.66 KB]
Download https://reproducibility.worldbank.org/index.php/catalog/323/download/982
Reproducibility package (code and data) for Diffusion In Social Networks: Experimental Evidence On Information Sharing Vs Persuasion
Download [ZIP, 10.22 MB]
Download https://reproducibility.worldbank.org/index.php/catalog/323/download/983
Zip preview
RR_IND_2025_371
1b.clean_villages.do
data_hash_report.csv
FI_Village_Dataset.dta
LICENSE.txt
README.pdf
Reproducibility verification-RR_IND_2025_371.pdf
reproducibility-package
0. Label raw data
Data labeling & cleaning
0.do_all_labelling.do
Baseline
fi up baseline working.do
Endline
do file FI_Endline_Survey_Control_Data.do
do file FI_Endline_Survey_IAP_Data.do
do file FI_Endline_Survey_IA_Data.do
do file FI_Endline_Survey_IP_Data.do
do file label FI_Endline_Survey_C_Data.do
Labelling.do
FI Questionnaire_baseline English.xlsx
FI Questionnaire_Endline_English.xlsx
README.txt
Village
labeling.do
Village Survey Questionnaire.pdf
FI_Baseline_Survey_Kanpur_Data
FI_Baseline_Survey_Kanpur_Data.xlsx
FI_Endline_Data
FI_Endline_Survey_Control_Data.xlsx
FI_Endline_Survey_C_Data.xlsx
FI_Endline_Survey_IAP_Data.xlsx
FI_Endline_Survey_IA_Data.xlsx
FI_Endline_Survey_IP_Data.xlsx
FI_Village_Data
FI_Village_Survey_Dataset.xlsx
README.txt
1. Data cleaning (pre-treatment)
0. Raw data
FI_Village_Dataset.dta
READ ME.txt
0.main_dofile.do
1. Cleaned data
READ ME.txt
1a.clean_households.do
1b.clean_villages.do
2.merge.do
README.txt
2. Randomization
0.do_randomization_avg.do
iterations
READ ME.txt
READ ME.txt
3. Matching A_B
0.main_do.do
1.matching_A_B.do
READ ME.txt
4. Merge
0.main_dofile.do
README.txt
5. Data cleaning (post-treatment)
0. Raw data
READ ME.txt
0.main_dofile.do
1. Cleaned data
date_signup_final.dta
READ ME.txt
1.prepare_endline.do
README.txt
main.do
Replication
0. cleaned data
date_signup_final.dta
READ ME.txt
0.main_dofile.do
2.do_Fig5.do
3a.do_Tab1_2_3_no_MHT.do
3a.do_Tab4_no_MHT.do
3a.do_Tab5_no_MHT.do
3a.do_Tab6_no_MHT.do
3a.do_Tab7_no_MHT.do
3b.do_Tab1_MHT.do
3b.do_Tab2_MHT.do
3b.do_Tab3_MHT.do
3b.do_Tab4_A_MHT.do
3b.do_Tab4_B_MHT.do
3b.do_Tab5_MHT.do
3b.do_Tab6_MHT.do
3b.do_Tab7_MHT.do
4.do_TabE1_3.do
4.do_TabE4_5.do
4.do_TabE6_7.do
4.do_TabG8_9_10.do
4.do_TabI1_I2.do
4.do_TabI3.do
4.do_TabI4.do
4.do_TabI5.do
4.do_TabI6.do
4.do_TabI7.do
4.do_TabI8.do
5.appendix_FigI1_2.do
5.appendix_FigI3.do
5.do_TabI9-I11.do
ado
backup.trk
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cibar.ado
cibar.sthlp
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estout.ado
estout.hlp
estpost.ado
estpost.hlp
eststo.ado
eststo.hlp
esttab.ado
esttab.hlp
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grc1leg2.dlg
grc1leg2.sthlp
grc1leg2_examples.ado
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iebaltab.ado
iebaltab.sthlp
ieboilsave.ado
ieboilsave.sthlp
ieboilstart.ado
ieboilstart.sthlp
ieddtab.ado
ieddtab.sthlp
iedorep.ado
iedorep.sthlp
iedropone.ado
iedropone.sthlp
iefolder.ado
iefolder.sthlp
iegitaddmd.ado
iegitaddmd.sthlp
iegraph.ado
iegraph.sthlp
iekdensity.ado
iekdensity.sthlp
iematch.ado
iematch.sthlp
iesave.ado
iesave.sthlp
ietoolkit.ado
ietoolkit.sthlp
m
mat2txt.ado
mat2txt.hlp
o
outreg2.ado
outreg2.hlp
outreg2.pref
outreg2_prf.ado
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randtreat.ado
randtreat.sthlp
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seeout.ado
seeout.hlp
shellout.ado
shellout.hlp
slideplot.ado
slideplot.hlp
stata.trk
_
_eststo.ado
_eststo.hlp
README.txt
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