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PRWP

Reproducibility package for Striving For Economic Security: Emerging Middle Class In The East Asia And Pacific Region

2025
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Reference ID
RR_WLD_2025_457
DOI
https://doi.org/10.60572/sy4m-nz07
Author(s)
Sailesh Tiwari, Veronica Sonia Montalva Talledo, Kwabena Krah
Collections
World Bank Policy Research Working Papers
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JSON
Created on
Nov 19, 2025
Last modified
Jan 23, 2026
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README for the reproducibility package for Striving For Economic Security: Emerging Middle Class In The East Asia And Pacific Region
Download [PDF, 218.1 KB]
Download https://reproducibility.worldbank.org//catalog/406/download/1272
Reproducibility verification for the reproducibility package for Striving For Economic Security: Emerging Middle Class In The East Asia And Pacific Region
Download [PDF, 140.77 KB]
Download https://reproducibility.worldbank.org//catalog/406/download/1273
Reproducibility package for Striving For Economic Security: Emerging Middle Class In The East Asia And Pacific Region
Download [ZIP, 30.07 MB]
Download https://reproducibility.worldbank.org//catalog/406/download/1275
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RR_WLD_2025_457
data_hash_report.csv
LICENSE.txt
README.pdf
Reproducibility package
01-data
01-source-data
HH_surveys
CHN
Provincial Cost of Living from Brandt and Holz EDCC 2006 - v2.xlsx
Inputs_Projections
00.Input_data_several_sources_2025-09-15.xlsx
00.MFMODcsv_2025-09-15.dta
Figures_Tables_G3.xlsx
WVS
country_region.dta
IDN
MVS2018
F00008609-WVS7_Methodology_Report_Indonesia_2018.pdf
F00010576-WVS7_Sample_Design_Indonesia_2018.pdf
F00011919-World_Values_Survey_Wave_7_2017-2020_Indonesia_v3.0.pdf
MMR
MVS2020
F00010543-World_Values_Survey_Wave_7_2017-2020_Myanmar_v3.0.pdf
F00010702-WVS7_Information_about_the_team_Myanmar_2020.pdf
F00010703-WVS7_Sample_Design_Myanmar_2020.pdf
F00010704-WVS7_Technical_Report_Myanmar_2020.pdf
MNG
MVS2021
F00011831-WVS7_Sample_Design_Mongolia_2021.pdf
F00011832-WVS7_Methodlogy_Report_Mongolia_2021.pdf
F00011833-WVS7_Information_about_the_team_Mongolia_2021.pdf
F00011873-World_Values_Survey_Wave_7_2017-2020_Mongolia_v3.0.pdf
MYS
MVS2012
F00000519-WV6_Methodology_Questionnaire_Malaysia_2011.pdf
F00000520-WV6_Technical_Report_Malaysia_2011.pdf
F00007728-WV6_Results_Malaysia_2012_v20180912.pdf
MVS2018
F00007190-WVS7_Methodology_Report_Malaysia_2018.pdf
F00010697-WVS7_Sample_Design_Malaysia_2018.pdf
F00010698-WVS7_Information_about_the_team_Malaysia_2018.pdf
F00011927-World_Values_Survey_Wave_7_2017-2020_Malaysia_v3.0.pdf
national_indicators.dta
PHL
MVS2012
F00000266-WV6_Technical_Details_Philippines_l2012.pdf
F00000919-WV6_Methodology_Questionnaire_Philippines_2012.pdf
F00007737-WV6_Results_Philippines_2012_v20180912.pdf
MVS2019
F00010549-World_Values_Survey_Wave_7_2017-2020_Philippines_v3.0.pdf
F00010971-WVS7_Sample_Design_Philippines_2019 (1).pdf
F00010974-WVS7_Information_about_the_team_Philippines_2019 (1).pdf
THA
MVS2013
F00002629-WV6_Questionnaire_Thailand_2013_English.pdf
F00003053-WV6_Methodology_Questionnaire_Thailand_2013.pdf
F00007750-WV6_Results_Thailand_2013_v20180912.pdf
MVS2018
F00008077-WVS7_Methodology_Report_Thailand_2018.pdf
F00010559-World_Values_Survey_Wave_7_2017-2020_Thailand_v3.0.pdf
F00010559-World_Values_Survey_Wave_7_2017-2020_Thailand_v3.0_mod.pdf
F00010986-WVS7_Sample_Design_Thailand_2018.pdf
VNM
MVS2020
F00009681-WVS7_Methodology_Report_Vietnam_2020.pdf
F00010563-World_Values_Survey_Wave_7_2017-2020_Vietnam_v3.0.pdf
F00010995-WVS7_Sample_Design_Vietnam_2020.pdf
F00010996-WVS7_Information_about_the_team_Vietnam_2020.pdf
z.Other
How_national_indicators.dta_created.do
national_indicators.dta
pip_regional_allpovlines.dta
wbopendata_2025_09_28.dta
02-programs
00.Globals.do
01.01.Prep_data_hh_level.do
01.02.Prep_data_ind_level.do
01.03.Prep_data_basic_CHN_CFPS.do
01.04.Prep_data_rent_CHN_CFPS.do
01.05.Prep_data_CHN_synthethic_dbn.do
01.06.Prep_femaleLFP_regressions.do
02.01.Chaudhuri_EAP.do
02.02.Chaudhuri_CHN.do
02.03.Get_NBS_lines_CHN.do
02.04.Summary_lines_EAP.do
02.05.Get_CFPS_regional_lines.do
02.06.China_data_for_regional.do
02.07.Chaudhuri_CHN_Panel.do
02.08.Chaudhuri_VNM_Panel.do
03.01.EAP_all_poverty_rates.do
03.02.Generate_inputs_for_excel.do
03.03.Prepare_excel.do
03.04.Projection_neutral_distribution.do
03.05.Projections_other_methods.do
03.06.Put_together_datasets_for_outputs.do
04.01.Prep_data_PG.do
04.02.Prep_data_WVS.do
05.01.Create_data_for_profiling.do
05.02.Data_for_graphs.do
05.03.Data_for_graphs.do
06.01.Figures_Tables_Group1.do
06.02.Figures_Tables_Group2.do
06.03.Figures_Tables_Group3.do
06.04.Figures_Tables_Appendix.do
CHN_regression - Copy.do
g1.gph
g2.gph
_ados
b
blindschemes.sthlp
backup.trk
c
country.txt
d
distinct.ado
distinct.hlp
dstat.ado
dstat.sthlp
dstat_svyr.ado
e
estadd.ado
estadd.hlp
estout.ado
estout.hlp
estpost.ado
estpost.hlp
eststo.ado
eststo.hlp
esttab.ado
esttab.hlp
f
find.ado
find.hlp
flagout.ado
flagout.sthlp
fre.ado
fre.hlp
g
grc1leg.ado
grc1leg.hlp
i
indicators.txt
ineqdec0.ado
ineqdec0.hlp
ineqdec05.ado
ineqdec05.hlp
ineqdeco.ado
ineqdeco.sthlp
ineqdeco5.ado
ineqdeco5.hlp
l
lmoremata.mlib
lmoremata10.mlib
lmoremata11.mlib
lmoremata14.mlib
lout.mlib
lout15.mlib
lout17.mlib
lout18.mlib
m
mf_mm_aqreg.hlp
mf_mm_areg.hlp
mf_mm_benford.hlp
mf_mm_bs.hlp
mf_mm_callf.hlp
mf_mm_cauchy.hlp
mf_mm_clip.hlp
mf_mm_collapse.hlp
mf_mm_colrunsum.hlp
mf_mm_colvar.hlp
mf_mm_cond.hlp
mf_mm_crosswalk.sthlp
mf_mm_cut.hlp
mf_mm_ddens.hlp
mf_mm_density.sthlp
mf_mm_diff.hlp
mf_mm_ebal.sthlp
mf_mm_ebalance.sthlp
mf_mm_ecdf.hlp
mf_mm_expand.hlp
mf_mm_finvert.hlp
mf_mm_freq.hlp
mf_mm_gini.hlp
mf_mm_greedy.hlp
mf_mm_group.hlp
mf_mm_hdq.hlp
mf_mm_histogram.hlp
mf_mm_hl.hlp
mf_mm_insheet.hlp
mf_mm_integrate.hlp
mf_mm_invtokens.hlp
mf_mm_ipolate.hlp
mf_mm_isconstant.hlp
mf_mm_jk.hlp
mf_mm_kern.hlp
mf_mm_linbin.hlp
mf_mm_linbin2.hlp
mf_mm_locate.hlp
mf_mm_loclin.hlp
mf_mm_ls.hlp
mf_mm_matlist.hlp
mf_mm_mgof.hlp
mf_mm_minim.hlp
mf_mm_mloc.hlp
mf_mm_nobs.hlp
mf_mm_nrroot.hlp
mf_mm_nunique.hlp
mf_mm_panels.hlp
mf_mm_pieces.hlp
mf_mm_plot.hlp
mf_mm_polint.hlp
mf_mm_posof.hlp
mf_mm_prod.hlp
mf_mm_qr.sthlp
mf_mm_quantile.hlp
mf_mm_ranks.hlp
mf_mm_rbinomial.hlp
mf_mm_read_csv.hlp
mf_mm_realofstr.hlp
mf_mm_regexr.hlp
mf_mm_relrank.hlp
mf_mm_root.hlp
mf_mm_sample.hlp
mf_mm_seq.hlp
mf_mm_sort.hlp
mf_mm_sqrt.hlp
mf_mm_strexpand.hlp
mf_mm_subset.hlp
mf_mm_unorder2.hlp
mf_mm_version.hlp
mf_mm_wbal.sthlp
mf_mm_which.hlp
moremata.hlp
moremata10_source.hlp
moremata11_source.hlp
moremata14_source.hlp
moremata_source.hlp
o
outdetect.ado
outdetect.sthlp
p
pip.ado
pip.sthlp
pip_cache.ado
pip_cite.ado
pip_cl.ado
pip_clean.ado
pip_cleanup.ado
pip_countries.sthlp
pip_drop.ado
pip_drop_frames.ado
pip_examples.ado
pip_find_src.ado
pip_gh.ado
pip_info.ado
pip_install.ado
pip_new_session.ado
pip_note.sthlp
pip_povcalnet_format.ado
pip_query.ado
pip_set_server.ado
pip_ssc.ado
pip_tables.ado
pip_update.ado
pip_versions.ado
plotplain.sthlp
plotplainblind.sthlp
plottig.sthlp
plottigblind.sthlp
povdeco.ado
povdeco.sthlp
povdeco5.ado
povdeco5.hlp
poverty.ado
poverty.hlp
r
rcd.ado
rcd.hlp
s
scheme-plotplain.scheme
scheme-plotplainblind.scheme
scheme-plottig.scheme
scheme-plottigblind.scheme
stata.trk
style
color-ananas.style
color-orangebrown.style
color-plb1.style
color-plb2.style
color-plb3.style
color-plg1.style
color-plg2.style
color-plg3.style
color-pll1.style
color-pll2.style
color-pll3.style
color-plr1.style
color-plr2.style
color-ply1.style
color-ply2.style
color-ply3.style
color-reddish.style
color-sea.style
color-sky.style
color-turquoise.style
color-vermillion.style
u
unique.ado
unique.sthlp
w
wbopendata.ado
wbopendata.dlg
wbopendata.sthlp
wbopendata_adminregion.sthlp
wbopendata_examples.ado
wbopendata_incomelevel.sthlp
wbopendata_indicators.sthlp
wbopendata_lendingtype.sthlp
wbopendata_populate_list.ado
wbopendata_region.sthlp
wbopendata_sourceid.sthlp
wbopendata_topicid.sthlp
world-c.dta
world-d.dta
x
xfill.ado
xfill.hlp
xml_tab.ado
xml_tab.hlp
xml_tab_options.txt
_
_api_read.ado
_api_read_indicators.ado
_countrymetadata.ado
_eststo.ado
_eststo.hlp
_parameters.ado
_query.ado
_query_indicators.ado
_query_metadata.ado
_tknz.ado
_update_countrymetadata.ado
_update_indicators.ado
_update_wbopendata.ado
_wbod_tmpfile1.ado
_wbod_tmpfile2.ado
_wbod_tmpfile3.ado
_website.ado
_Master.do
03-results
Chaudhuri_model
PANEL_CHN_18_14_mm2.csv
PANEL_CHN_results_18_14_mm2.xlsx
PANEL_VNM_regressions_16_14_mm2.csv
PANEL_VNM_regressions_18_16_mm2.csv
PANEL_VNM_results_16_14_mm2.xlsx
PANEL_VNM_results_18_16_mm2.xlsx
regressions_CHN_14_mm2.csv
regressions_CHN_18_mm2.csv
regressions_FJI_2013_mm1.csv
regressions_FJI_2013_mm2.csv
regressions_FJI_2019_mm1.csv
regressions_FJI_2019_mm2.csv
regressions_FSM_2013_mm1.csv
regressions_FSM_2013_mm2.csv
regressions_IDN_2015_mm1.csv
regressions_IDN_2015_mm2.csv
regressions_IDN_2018_mm1.csv
regressions_IDN_2018_mm2.csv
regressions_IDN_2023_mm1.csv
regressions_IDN_2023_mm2.csv
regressions_IDN_2024_mm1.csv
regressions_IDN_2024_mm2.csv
regressions_KIR_2019_mm1.csv
regressions_KIR_2019_mm2.csv
regressions_LAO_2012_mm1.csv
regressions_LAO_2012_mm2.csv
regressions_LAO_2018_mm1.csv
regressions_LAO_2018_mm2.csv
regressions_MHL_2019_mm1.csv
regressions_MHL_2019_mm2.csv
regressions_MMR_2015_mm1.csv
regressions_MMR_2015_mm2.csv
regressions_MMR_2017_mm1.csv
regressions_MMR_2017_mm2.csv
regressions_MNG_2016_mm1.csv
regressions_MNG_2016_mm2.csv
regressions_MNG_2018_mm1.csv
regressions_MNG_2018_mm2.csv
regressions_MNG_2022_mm1.csv
regressions_MNG_2022_mm2.csv
regressions_MYS_2015_mm1.csv
regressions_MYS_2015_mm2.csv
regressions_MYS_2018_mm1.csv
regressions_MYS_2018_mm2.csv
regressions_MYS_2021_mm1.csv
regressions_MYS_2021_mm2.csv
regressions_NRU_2012_mm1.csv
regressions_NRU_2012_mm2.csv
regressions_PHL_2015_mm1.csv
regressions_PHL_2015_mm2.csv
regressions_PHL_2018_mm1.csv
regressions_PHL_2018_mm2.csv
regressions_PHL_2023_mm1.csv
regressions_PHL_2023_mm2.csv
regressions_SLB_2012_mm1.csv
regressions_SLB_2012_mm2.csv
regressions_THA_2015_mm1.csv
regressions_THA_2015_mm2.csv
regressions_THA_2018_mm1.csv
regressions_THA_2018_mm2.csv
regressions_THA_2023_mm1.csv
regressions_THA_2023_mm2.csv
regressions_TLS_2014_mm1.csv
regressions_TLS_2014_mm2.csv
regressions_TON_2015_mm1.csv
regressions_TON_2015_mm2.csv
regressions_TON_2021_mm1.csv
regressions_TON_2021_mm2.csv
regressions_TUV_2010_mm1.csv
regressions_TUV_2010_mm2.csv
regressions_VNM_2016_mm1.csv
regressions_VNM_2016_mm2.csv
regressions_VNM_2018_mm1.csv
regressions_VNM_2018_mm2.csv
regressions_VNM_2022_mm1.csv
regressions_VNM_2022_mm2.csv
regressions_VUT_2019_mm1.csv
regressions_VUT_2019_mm2.csv
regressions_WSM_2013_mm1.csv
regressions_WSM_2013_mm2.csv
results_CHN_14_mm2.xlsx
results_CHN_18_mm2.xlsx
results_FJI_2013_mm1.xlsx
results_FJI_2013_mm2.xlsx
results_FJI_2019_mm1.xlsx
results_FJI_2019_mm2.xlsx
results_FSM_2013_mm1.xlsx
results_FSM_2013_mm2.xlsx
results_IDN_2015_mm1.xlsx
results_IDN_2015_mm2.xlsx
results_IDN_2018_mm1.xlsx
results_IDN_2018_mm2.xlsx
results_IDN_2023_mm1.xlsx
results_IDN_2023_mm2.xlsx
results_IDN_2024_mm1.xlsx
results_IDN_2024_mm2.xlsx
results_KIR_2019_mm1.xlsx
results_KIR_2019_mm2.xlsx
results_LAO_2012_mm1.xlsx
results_LAO_2012_mm2.xlsx
results_LAO_2018_mm1.xlsx
results_LAO_2018_mm2.xlsx
results_MHL_2019_mm1.xlsx
results_MHL_2019_mm2.xlsx
results_MMR_2015_mm1.xlsx
results_MMR_2015_mm2.xlsx
results_MMR_2017_mm1.xlsx
results_MMR_2017_mm2.xlsx
results_MNG_2016_mm1.xlsx
results_MNG_2016_mm2.xlsx
results_MNG_2018_mm1.xlsx
results_MNG_2018_mm2.xlsx
results_MNG_2022_mm1.xlsx
results_MNG_2022_mm2.xlsx
results_MYS_2015_mm1.xlsx
results_MYS_2015_mm2.xlsx
results_MYS_2018_mm1.xlsx
results_MYS_2018_mm2.xlsx
results_MYS_2021_mm1.xlsx
results_MYS_2021_mm2.xlsx
results_NRU_2012_mm1.xlsx
results_NRU_2012_mm2.xlsx
results_PHL_2015_mm1.xlsx
results_PHL_2015_mm2.xlsx
results_PHL_2018_mm1.xlsx
results_PHL_2018_mm2.xlsx
results_PHL_2023_mm1.xlsx
results_PHL_2023_mm2.xlsx
results_SLB_2012_mm1.xlsx
results_SLB_2012_mm2.xlsx
results_THA_2015_mm1.xlsx
results_THA_2015_mm2.xlsx
results_THA_2018_mm1.xlsx
results_THA_2018_mm2.xlsx
results_THA_2023_mm1.xlsx
results_THA_2023_mm2.xlsx
results_TLS_2014_mm1.xlsx
results_TLS_2014_mm2.xlsx
results_TON_2015_mm1.xlsx
results_TON_2015_mm2.xlsx
results_TON_2021_mm1.xlsx
results_TON_2021_mm2.xlsx
results_TUV_2010_mm1.xlsx
results_TUV_2010_mm2.xlsx
results_VNM_2016_mm1.xlsx
results_VNM_2016_mm2.xlsx
results_VNM_2018_mm1.xlsx
results_VNM_2018_mm2.xlsx
results_VNM_2022_mm1.xlsx
results_VNM_2022_mm2.xlsx
results_VUT_2019_mm1.xlsx
results_VUT_2019_mm2.xlsx
results_WSM_2013_mm1.xlsx
results_WSM_2013_mm2.xlsx
china-regression.csv
Figures_Tables_G1.xlsx
Figures_Tables_G2.xlsx
Figures_Tables_G3.xlsx
Figures_Tables_G4.xlsx
Regressions_FLFP.xml
Reproducibility report-RR_WLD_2025_457.pdf
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