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Reproducibility package for Human Capital Expenditure And Its Effectiveness On Multi-Programme Coverage: A Policy Prioritization Investigation

2026
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Reference ID
RR_MEX_2026_619
DOI
https://doi.org/10.60572/t04n-aj31
Author(s)
Omar A. Guerrero, Michael Weber, Daniele Guariso, Gonzalo Castañeda
Collections
World Bank Policy Research Working Papers
Metadata
JSON
Created on
May 19, 2026
Last modified
Jun 04, 2026
Page views
6
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Other Materials
README for the reproducibility package for Human Capital Expenditure And Its Effectiveness On Multi-Programme Coverage: A Policy Prioritization Investigation
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Reproducibility verification for Human Capital Expenditure And Its Effectiveness On Multi-Programme Coverage: A Policy Prioritization Investigation
Download [PDF, 138.34 KB]
Reproducibility package for Human Capital Expenditure And Its Effectiveness On Multi-Programme Coverage: A Policy Prioritization Investigation
Download [ZIP, 17.2 MB]
Download https://reproducibility.worldbank.org//catalog/558/download/1668
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01 - split_datasets.py
02 - define_outcomes.py
03 - impute_outcomes.py
04 - adjust_imputations.py
05 - reshape_governance.py
06 - normalize_governance.py
07 - get_network.py
08 - add_variables.py
09 - adjust_exp.py
11 - calibrate.py
12 - run_baseline.py
13 - run_sensitivity.py
14 - run_frontier.py
15 - run_optimisation.py
16 - run_optimised.py
21 - figure_1.py
22 - figure_2.py
23 - figure_3.py
24 - figure_4.py
25 - figure_5.py
26 - figure_6.py
27 - figure_7.py
28 - figure_9-12.py
29 - figure_13-14.py
30 - figures_15-18.py
main.py
coneval_exp_def_pc.csv
coneval_exp_detrend.csv
coneval_exp_pivot.csv
network.csv
coneval_labels.xlsx
coneval_oc_pivot.csv
coneval_perf.csv
coneval_perf_corrected.csv
coneval_perf_imputed.csv
labels_merging.xlsx
parameters.csv
add_variables.csv
governance_cc_normalized.csv
governance_cc_reshaped.csv
governance_rl_normalized.csv
governance_rl_reshaped.csv
coneval_prog_to share.csv
coneval_prog_to share.xlsx
coneval_to_impute.csv
cpi.csv
IF2022_adj.xlsx
IF2022_newlabels.xlsx
IF2022_original.xlsx
population.csv
pwt1001.xlsx
IF2009.xlsx
IF2010.xlsx
IF2011.xlsx
IF2012.xlsx
IF2013.xlsx
IF2014.xlsx
IF2015.xlsx
IF2016.xlsx
IF2017.xlsx
IF2018.xlsx
IF2019.xlsx
IF2020.xlsx
IF2021.xlsx
IF2022.xlsx
table human capital.xlsx
tablehumancapital.csv
wgidataset.xlsx
baseline.csv
frontier_values.csv
IFF.csv
IFR.csv
IFY.csv
optimal_B_flat.csv
optimal_B_weighted.csv
sensitivity.csv
data_hash_report.csv
figure_1.pdf
figure_10.pdf
figure_11.pdf
figure_12.pdf
figure_13.pdf
figure_14.pdf
figure_15a.pdf
figure_15b.pdf
figure_16a.pdf
figure_16b.pdf
figure_17.pdf
figure_18.pdf
figure_2.pdf
figure_3.pdf
figure_4.pdf
figure_5.pdf
figure_6.pdf
figure_7.pdf
figure_9.pdf
LICENSE.txt
main.py
README.pdf
reproducibility_report_RR_WLD_2026_619.pdf
requirements.txt
table_1.csv
table_C1.csv
table_C2.csv
table_C3.csv
table_C4.csv
table_C5.csv
WB-IGO-RIDER.txt
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