Reproducibility package for CLARE: A Causal Machine Learning Approach To Resilience Estimation

2025

Get Reproducibility Package

Reference ID

RR_AFR_2025_484

DOI

https://doi.org/10.60572/7bcv-a688

Author(s)

Talip Kilic, Marco Letta, Pierluigi Montalbano, Federica Petruccelli

Collections

World Bank Policy Research Working Papers

Metadata

JSON

Created on

Dec 05, 2025

Last modified

Jan 06, 2026

Download related resources

Other Materials

README for Reproducibility package for Clare: A Causal Machine Learning Approach To Resilience Estimation

Download [PDF, 260.38 KB]

Download	https://reproducibility.worldbank.org//catalog/416/download/1194

Reproducibility verification for Reproducibility package for Clare: A Causal Machine Learning Approach To Resilience Estimation

Download [PDF, 605.6 KB]

Download	https://reproducibility.worldbank.org//catalog/416/download/1195

Reproducibility package for Clare: A Causal Machine Learning Approach To Resilience Estimation

Download [ZIP, 48.24 MB]

Download	https://reproducibility.worldbank.org//catalog/416/download/1196
Zip preview	RR_AFR_2025_484 .git COMMIT_EDITMSG config description HEAD hooks applypatch-msg.sample commit-msg.sample fsmonitor-watchman.sample post-update.sample pre-applypatch.sample pre-commit.sample pre-merge-commit.sample pre-push.sample pre-rebase.sample pre-receive.sample prepare-commit-msg.sample push-to-checkout.sample sendemail-validate.sample update.sample index info exclude logs HEAD refs heads main objects 06 84400879e219bd66c5c9957eedf1fcbdd54e39 09 58b6df95d822bbea43406024816a682a02019f 0b 05606a6d34a6ae72f0eebd313a75d47977e6ec 0e c0cbba2d7755cbd91956afaa585449906a1e16 0f 51b663922e1decd793570fd7900fb529e7ef41 11 0f39cd06f21f0425664d81e9001cbb8aa8b720 14 33b2e70aadc7bf39b648180405eaeacc38b922 15 101442963103257cb0d425003468ac4399f445 16 e85b127f88a3dde0596528162428075323db6c 17 6a42282892846ddc97c15cf6589ef5ff110c8d 21 d15bf5b80214bb04dc46c5bdb171ee1b1238c9 23 9e5ad441020ea1d11afddcf33c336b0691de41 24 20eaae9679f2fe965d634fe1e4c402cd1c5a91 27 53ae544b2ae987d5a2988ee9fa6a4e9b01a135 2d 3e3fb6ef8416f3ccc7f5eb4d17a1ac5695f072 8c9a66b0f35f49a7710ce8b45472667c791f5b ec94bf561b150e4d6ebdc5c10d847be15d00eb 2f 35930c4b3969b6855b1f5a3c3797b32965f1b2 33 5e9062683d71562f5a8d2748fbd66d0f47d0bb 34 62ec511e1182b1131400df64fa5f961cec8d27 35 2181b2359043feca2746d7743a88b1e7dccbc5 45 4c9efce682a4ef69d3a821c49d7f4a9629d352 47 d3094b0f60fe56975bfc8f40c71b5dd67ed57e 48 c99b13219b550da2cf460590c3d452948913e9 4f 0d3780188029a1e5a6bc6038453f3e9c8ad1bf 55 d264575b52f8acbe81a00f4505c0a7f9a9bc4b 57 fab69957ae8e6d8dd9b629348a190eea044af2 58 3b11964f901b2d0d55532858bfac07ffac93b0 59 011a2217cc7628f87e1e42fad90e08564a3562 69 21fcedb3bd7bebddc606c795a06940f3aac4a5 6a 9688b09628decee0391d179c617474d811eedb c89d8a8e1a6e390b130193a329b4a469de8d83 f3c2073ca136850cd1a7e123285be015b5fe67 6b c036a9529376c58c98b2a4f039b4d3b4d29cce 6f 3c01d88c07291d550c04aa1591794430f06408 74 6e8e116818fc89a96fb51abcee4bb5ac0633b7 7c 0a1c6d639993186f5e985ecd674bcf2147628a 7f 70fe8ce8cd1ee14118ba0c928ead9f3de82abd d2fa3bf74495027d5481ed5c26ffe2607ef8b3 82 57e3c5615d79afd1f84bcbacd265f1a58369aa 86 26c6a6f0797c8feb12205303232f214dfeb83e 89 56cdf6d676e1774a3e8d3bee93c4c413309819 8e 3c2ebc99e2e337f7d69948b93529a437590b27 99 2bff4e24dca107627e946de7585f39fc9375b0 9a 489792cdad739b186fff71c543eb3dbea01dbf a5 898e763b101c1968541351c33c3115b55db937 d7b5a6de175a0123840a604ae278113bf5fd41 aa 0a85ce7c212e657e25d59a2e589f62557af285 af 7626d4b712d6661916abf5d14b7bae4bd21140 b1 8767f069633c07c3c6a05d60df1768cfdef0ee ba 6a99aaa992756ebfd0e8e2e7069ac3ef2bfcf2 bd 0c2e67d3bebdcf63e3698db22fb73256903b45 c6 03978f7f8cd4d1512777deb5275ea644a46b0f cc 9ccccc3fcc95d05d3a02fed17d505440e0c83f cd 2c0e44262917c6b4abaca71d907a8862b6600e ce 78f78992c99b9da374ee5b3fafd2d01d1d511b d1 3c533f29c0602fb5dd2977fd4e490cf6d3b6b3 d2 4f398874006406d17bb9fc9f703b1b2ad232fc d7 421862f89506d0da3c35dc6f17cc81c46ad663 de ca2a2c6df7f8672a6c2bdba4b5d60b7a4a7e3b df e0770424b2a19faf507a501ebfc23be8f54e7b e2 2ac4b2a07d91f33560c5ed8763b08d55ef435f e6 80d234df0c8d26ab71c6340b4f6ddd07735bce eb 057c21192a464fd3c254d4119756cbc9bd3c58 ee 24b9fb0dc68c5caa233ae05554fa2dfeb0dca7 f2 caae5904fc971fe84fd6057136a0db842f4fad f3 fad5e43881dc3ba2f7cdaa5d75e0c6b789553b f6 87e65d995df48e6df3a752e17245791036a08e 9f5bee3c3b5a4fbd951c7397145dad7d1050f7 f9 b0749d8717e02dcbda6671996d86f448626327 dc512bd92a7a1c46764dce092f2704e58d4f6e fe 0cd9d1ba6f3f50a4183bf44f8cc89ae2e38bc0 refs heads main data_hash_report.csv LICENSE.txt README.pdf reproducibility-package .Rproj.user 99D79885 pcs files-pane.pper source-pane.pper windowlayoutstate.pper workbench-pane.pper rmd-outputs saved_source_markers Codes .Rhistory .Rprofile .Rproj.user 99D79885 pcs debug-breakpoints.pper files-pane.pper source-pane.pper windowlayoutstate.pper workbench-pane.pper persistent-state rmd-outputs saved_source_markers sources per t D68C9E11 D68C9E11-contents prop 1AB48CE9 26EA3B17 823F927D A497B246 DCEFFB6B F384B2DE INDEX shared notebooks paths Do files - Variable Construction Harmonized_panel.do malawi mlw_w1_long.do mlw_w2_long.do mlw_w3_long.do mlw_w4_long.do panel_malawi.do nigeria nig_panel.do ReadMe - Data Construction - Additional Material.docx tanzania tanzania_panel_new.do tzn_w2.do tzn_w3.do tzn_w4_ext.do tzn_w5_ext.do uganda uga_panel.do uga_w1.do uga_w2.do uga_w3.do uga_w4.do uga_w5.do uga_w6.do uga_w7.do renv .gitignore activate.R library windows R-4.4 x86_64-w64-mingw32 renv bin renv renv.bat config.yml DESCRIPTION doc ci.html ci.R ci.Rmd docker.html docker.R docker.Rmd faq.html faq.R faq.Rmd index.html package-install.html package-install.R package-install.Rmd package-sources.html package-sources.R package-sources.Rmd packages.html packages.R packages.Rmd packrat.html packrat.R packrat.Rmd profiles.html profiles.R profiles.Rmd python.html python.R python.Rmd renv.html renv.R renv.Rmd rsconnect.html rsconnect.R rsconnect.Rmd ext renv.c help aliases.rds AnIndex figures logo.svg paths.rds renv.rdb renv.rdx html 00Index.html R.css INDEX LICENSE MD5 Meta features.rds hsearch.rds links.rds nsInfo.rds package.rds Rd.rds vignette.rds NAMESPACE NEWS.md R renv renv.rdb renv.rdx repos src contrib PACKAGES PACKAGES.gz PACKAGES.rds renv_1.1.5.tar.gz resources activate.R scripts-git-askpass.cmd scripts-git-askpass.sh vendor renv.R WELCOME rstudio addins.dcf schema draft-07.renv.lock.schema.json sysreqs sysreqs.json sufrep data Rdata.rdb Rdata.rds Rdata.rdx DESCRIPTION help aliases.rds paths.rds sufrep.rdx html 00Index.html R.css Meta data.rds features.rds hsearch.rds links.rds nsInfo.rds package.rds Rd.rds NAMESPACE R sufrep sufrep.rdb sufrep.rdx settings.json renv.lock reproducibility-package.Rproj STEP 0 - Descriptive_Statistics.do STEP 1 - Estimation_Forecasting.R STEP 1 - Estimation_Main_Country.R STEP 1 - Estimation_Out-Of-Country_Malawi.R STEP 1 - Estimation_Out-of-Country_Nigeria.R STEP 1 - Estimation_Out-Of-Country_Tanzania.R STEP 1 - Estimation_Out-Of-Country_Uganda.R STEP 2 - Aggregation and Evaluation_Forecasting.do STEP 2 - Aggregation and Evaluation_Out-Of-Country.do STEP 3 - Figures.do Data dataset_all.csv dataset_descriptives.csv dataset_noMalawi.csv dataset_noNigeria.csv dataset_noTanzania.csv dataset_noUganda.csv dataset_start.csv Outputs dataset_allexp_forecasting_main.csv dataset_Malawi.csv dataset_Nigeria.csv dataset_Tanzania.csv dataset_Uganda.csv descriptive_statistics.xlsx fig1.png fig1.svg fig2.png fig2.svg fig3.png fig3.svg fig4.png fig4.svg fig5.png fig5.svg fig6.png fig6.svg fig7.png fig7.svg imp.png imp.svg Malawi.dta Nigeria.dta results_forecasting_main.csv results_OOC_Malawi.csv results_OOC_Nigeria.csv results_OOC_Tanzania.csv results_OOC_Uganda.csv Tanzania.dta Uganda.dta weights_main.dta weights_Malawi.dta weights_Nigeria.dta weights_Tanzania.dta weights_Uganda.dta reproducibility_report_RR_AFR_2025_484.pdf

Back to Catalog