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Reproducibility package for News-Based Multidimensional Political Instability In West And Central Africa

2026
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Reference ID
RR_SSA_2026_721
Author(s)
Pierre Mandon, Kabinet Kaba, Philipp Kronenberg
Collections
World Bank Policy Research Working Papers
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Created on
Oct 19, 2026
Last modified
Oct 27, 2026
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  • Overview

    Abstract

    Political instability remains a central obstacle to economic development in West and Central Africa, yet existing empirical work typically treats it as a one-dimensional construct and relies on low-frequency, event-based datasets that are ill-suited to capturing short-term dynamics or the precise timing of political shocks. This paper develops high-frequency, news-based indicators that separately track four dimensions of political instability - politically motivated violence, mass civil protest, instability within the regime, and instability of the regime -- for 17 West and Central African countries over 1990--2024, drawing on a broad and deliberately balanced set of international news sources for a region where existing text-based measures are at their thinnest. The four dimensions contain distinct information: they spike at different historical moments, differ in persistence, and co-move across borders to varying degrees. Embedding the indicators in a monthly VAR for the Democratic Republic of the Congo reveals heterogeneous macroeconomic transmission: violence shocks resemble localized risk and supply disruptions; protest shocks generate short-lived risk repricing; within-regime instability maps to slower, more persistent uncertainty effects; and regime instability behaves like a broad confidence shock with demand restraint. Complementary firm-level evidence from the World Bank Enterprise Surveys shows that heightened political violence is associated with significantly slower firm sales growth, with the burden concentrated among larger firms, domestically owned firms, and service-sector firms.

    Reproducibility Package

    Scripts
    Readme Get Reproducibility Package
    Link: https://reproducibility.worldbank.org/catalog/676/download/2033/README.pdf
    Reproducibility package for News-Based Multidimensional Political Instability In West And Central Africa
    File name
    RR_SSA_2026_721
    Zip package
    RR_SSA_2026_721.zip
    Title
    Reproducibility package for News-Based Multidimensional Political Instability In West And Central Africa
    Date
    2026-10
    Dependencies
    R dependencies are listed in the file renv.lock. Stata dependencies are listed in the ado folder.
    Instructions
    See README in reproducibility package.
    Notes
    Computational reproducibility verified by Development Impact (DECDI) Analytics team, World Bank.
    Source code repository
    Repository name URI
    Reproducible Research Repository (World Bank) https://reproducibility.worldbank.org
    Software
    R
    Name
    R
    Version
    4.5.3
    Stata
    Name
    Stata
    Version
    19.5
    MATLAB
    Name
    MATLAB
    Version
    R2025b

    Reproducibility

    Technology environment

    Paper exhibits were reproduced on a computer with the following specifications:
    • OS: Windows 11 Enterprise
    • Processor: INTEL(R) XEON(R) PLATINUM 8562Y+ (2.80 GHz) (2 processors)
    • Memory available: 32.0 GB

    Technology requirements

    Run time: ~ 30 minutes.

    Reproduction instructions

    To reproduce the findings in this paper, a replicator must:

    1. Secure Access to Data: Access the datasets not included in the package. See the Datasets section for more details.
    2. Run the Package: Run the scripts in order: main.R, run_all.m, NBS_master.do.

    Since not all the data is included, the package includes the results produced by replicators. These files can be used to review the results presented in the paper.

    Data

    Datasets
    Factiva Article Counts
    Name
    Factiva Article Counts
    Note
    File location: Data/Raw/restricted/factiva_api/Results_Factiva_API/ (85 JSON files in 28 numbered query subfolders, named analytics__.json). Monthly article counts from January 1990 onward for 17 West and Central African countries, retrieved through the Factiva Analytics API from 12 English-language outlets (Table 1 of the paper). The 28 queries are listed in the header of Code/1_read_data.R and can be resubmitted by a third party with API access; results may differ slightly because Factiva updates its archive. Access requires a Factiva subscription with API access. Accessed 6-10 July 2025.
    Access policy
    Data access requires purchase or human approval and is not included in the reproducibility package.
    License
    Dow Jones Factiva subscription agreement
    Data URL
    https://www.dowjones.com/professional/factiva/
    Citation
    Dow Jones & Company. 2025. "Factiva Article Counts" [dataset]. Factiva Analytics API, monthly article counts. https://www.dowjones.com/professional/factiva/. Accessed July 2025.
    Factiva Source List and Region Taxonomy Codes
    Name
    Factiva Source List and Region Taxonomy Codes
    Note
    File locations: Data/Raw/restricted/factiva_lookup/All Active FA Sources 8-22-22.CSV (list of Factiva sources) and Data/Raw/restricted/factiva_lookup/regions.csv (Factiva region codes and descriptions). Factiva subscribers can download both files from the Factiva Developer Platform under the taxonomy/lookup codes section. Accessed August 2022.
    Access policy
    Data access requires purchase or human approval and is not included in the reproducibility package.
    License
    Dow Jones Factiva subscription agreement
    Data URL
    https://developer.dowjones.com/
    Citation
    Dow Jones & Company. 2022. "Factiva Source List and Region Taxonomy Codes" [dataset]. https://developer.dowjones.com/. Accessed August 2022.
    Armed Conflict Location and Event Dataset (ACLED)
    Name
    Armed Conflict Location and Event Dataset (ACLED)
    Note
    File location: Data/Raw/public/benchmark_data/ACLED/df_acled_in.rda. R extract made by the authors from the ACLED Africa curated file Africa_1997-2025_Jan17.csv (1997 to January 2025) by parsing dates and adding ISO3 codes; the code is commented out at the top of the ACLED section in Code/3_benchmark_data.R. Variables used: event_date, country, event_type, sub_event_type. Free registration is required to download the curated file. Accessed 17 January 2025.
    Access policy
    Data is publicly available but does not allow redistribution and it is not included in the reproducibility package.
    License
    ACLED Terms of Use
    License URL
    https://acleddata.com/terms-of-use/
    Data URL
    https://acleddata.com/curated-data-files/
    Citation
    Raleigh, C., Linke, A., Hegre, H., & Karlsen, J. (2010). Introducing ACLED: An Armed Conflict Location and Event Dataset. Journal of Peace Research, 47(5),651–660. https://doi.org/10.1177/0022343310378914. Data: ACLED, Africa curated data file, accessed 17 January 2025, https://acleddata.com.
    Measuring Social Unrest Using Media Reports
    Name
    Measuring Social Unrest Using Media Reports
    Note
    File location: Data/Raw/public/benchmark_data/Barret et al/events.rdata. Monthly country-level significant-unrest event panel (object events.out) from the replication materials of Barrett, Appendino, Nguyen, and de Leon Miranda (IMF), published as supplementary material to the Journal of Development Economics article. The Reported Social Unrest Index is also published by the IMF (https://www.imf.org/en/Publications/WP/Issues/2020/08/07/Measuring-Social-Unrest-Using-Media-Reports-49544). Publicly downloadable and free to use with citation. Accessed January 2025.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Custom License
    License URL
    https://www.elsevier.com/legal/elsevier-website-terms-and-conditions
    Data URL
    https://www.sciencedirect.com/science/article/pii/S0304387822000803
    Citation
    Barrett, P., Appendino, M., Nguyen, K., and de Leon Miranda, J. 2022. "Measuring Social Unrest Using Media Reports." Journal of Development Economics 158: 102924. https://doi.org/10.1016/j.jdeveco.2022.102924. Accessed January 2025.
    Cross-National Time-Series Data Archive
    Name
    Cross-National Time-Series Data Archive
    Note
    File location: Data/Raw/public/benchmark_data/CNTS Data Archive/2023_Edition_CNTSDATA.xlsx. 2023 edition. Variables used: the annual domestic conflict (domestic*), legislative (legis*), and political (polit*) series. Requires purchase of a license from Databanks International. Accessed January 2025.
    Access policy
    Data access requires purchase or human approval and is not included in the reproducibility package.
    License
    Databanks International commercial license
    License URL
    https://www.cntsdata.com/licenses
    Citation
    Banks, A. S., and Wilson, K. A. 2023. "Cross-National Time-Series Data Archive" [dataset]. Databanks International. https://www.cntsdata.com. Accessed January 2025.
    Coup d'Etat Events, 1946-2021
    Name
    Coup d'Etat Events, 1946-2021
    Note
    File location: Data/Raw/public/benchmark_data/CSP Database/Center for Systemic Peace, Coups d'Etat, 1946-2021/CSPCoupsAnnualv2021.xls. Annual country file (Excel) from the Center for Systemic Peace (CSP), Integrated Network for Societal Conflict Research (INSCR). Accessed January 2025.
    Access policy
    Data is publicly available but does not allow redistribution and it is not included in the reproducibility package.
    License
    CSP terms of use
    License URL
    https://www.systemicpeace.org/inscrdata.html
    Data URL
    https://www.systemicpeace.org/inscrdata.html
    Citation
    Marshall, M. G., and Marshall, D. R. 2022. "Coup d'Etat Events, 1946-2021" [dataset]. Center for Systemic Peace. https://www.systemicpeace.org/inscrdata.html. Accessed January 2025.
    Polity5: Political Regime Characteristics and Transitions, 1800-2018
    Name
    Polity5: Political Regime Characteristics and Transitions, 1800-2018
    Note
    File location: Data/Raw/public/benchmark_data/CSP Database/Polity5 Project, Political Regime Characteristics and Transitions, 1800-2018/p5v2018.xls. Polity5 Annual Time-Series, 1946-2018 (Excel). Variables used: democ, autoc, polity2. Accessed January 2025.
    Access policy
    Data is publicly available but does not allow redistribution and it is not included in the reproducibility package.
    License
    CSP terms of use
    License URL
    https://www.systemicpeace.org/inscrdata.html
    Data URL
    https://www.systemicpeace.org/inscrdata.html
    Citation
    Marshall, M. G., and Gurr, T. R. 2020. "Polity5: Political Regime Characteristics and Transitions, 1800-2018" [dataset]. Center for Systemic Peace. https://www.systemicpeace.org/inscrdata.html. Accessed January 2025.
    Database of Political Institutions 2012
    Name
    Database of Political Institutions 2012
    Note
    File location: Data/Raw/public/benchmark_data/Database of Political Institutions (World Bank)/dpi2012.xls (file DPI2012.xls from the World Bank Data Catalog). Variables used: yrsoffc, prtyin, govfrac, frac, maj. Accessed January 2025.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 International (CC BY 4.0)
    License URL
    https://creativecommons.org/licenses/by/4.0/
    Data URL
    https://datacatalog.worldbank.org/dataset/wps2283-database-political-institutions
    Citation
    World Bank. 2012. "Database of Political Institutions 2012" [dataset]. https://datacatalog.worldbank.org/dataset/wps2283-database-political-institutions. Accessed January 2025. See also Beck, T., Clarke, G., Groff, A., Keefer, P., and Walsh, P. 2001. "New Tools in Comparative Political Economy: The Database of Political Institutions." World Bank Economic Review 15(1): 165-176. https://doi.org/10.1093/wber/15.1.165.
    Gallup World Poll
    Name
    Gallup World Poll
    Note
    File location: Data/Raw/public/benchmark_data/GALLUP/GallupAnalytics_Export_20240823_141734.xlsx. Annual country-level percentages exported from Gallup Analytics for the 17 sample countries, in four sheets: Approval of Country's Leadership, Confidence in National Government, Corruption in Government, and Honesty of Elections. The file contains country-level aggregates only. Accessed through the World Bank Group Library institutional subscription (https://wbglibrary.worldbank.org/find/databases). Accessed 23 August 2024.
    Access policy
    Data access requires purchase or human approval and is not included in the reproducibility package.
    License
    Gallup Analytics subscription agreement (World Bank Group institutional subscription)
    License URL
    https://www.gallup.com/ProductTerms
    Data URL
    https://www.gallup.com/analytics/318875/global-research.aspx
    Citation
    Gallup, Inc. 2024. "Gallup World Poll" [dataset]. Gallup Analytics. https://www.gallup.com/analytics/318875/global-research.aspx. Accessed August 2024.
    International Country Risk Guide (ICRG)
    Name
    International Country Risk Guide (ICRG)
    Note
    File location: Data/Raw/public/benchmark_data/ICRG sample (not free)/Barrett Replication Code/ICRG_CountryData.csv. Monthly political risk components, obtained from the replication materials of Barrett et al. (2022) (see the Measuring Social Unrest Using Media Reports entry). Further redistribution or reuse requires a paid ICRG subscription from The PRS Group. Accessed January 2025.
    Access policy
    Data access requires purchase or human approval and is not included in the reproducibility package.
    License
    The PRS Group commercial subscription terms
    Data URL
    https://www.prsgroup.com/explore-our-products/icrg/
    Citation
    The PRS Group. 2025. "International Country Risk Guide (ICRG)" [dataset]. https://www.prsgroup.com/explore-our-products/icrg/. Accessed January 2025.
    Global Instances of Coups from 1950 to 2010: A New Dataset
    Name
    Global Instances of Coups from 1950 to 2010: A New Dataset
    Note
    File location: Data/Raw/public/benchmark_data/powell_thyne_coups/powell_thyne_coups_final.txt (version V2024.01.29, tab-delimited). Variables used: country, year, month, coup. Freely available for research use with citation. Accessed January 2025.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Custom License
    Data URL
    https://www.uky.edu/~clthyn2/coup_data/home.htm
    Citation
    Powell, J. M., and Thyne, C. L. 2011. "Global Instances of Coups from 1950 to 2010: A New Dataset." Journal of Peace Research 48(2): 249-259. https://doi.org/10.1177/0022343310397436. Accessed January 2025.
    Ethnic One-Sided Violence (EOSV) Dataset
    Name
    Ethnic One-Sided Violence (EOSV) Dataset
    Note
    File location: Data/Raw/public/benchmark_data/UCDP dataset/The Ethnic One-Sided Violence (EOSV) Dataset/EOSV Dataset.dta (Stata). Variables used: Year, BestFatalityEstimate, Location. Accessed January 2025.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 International (CC BY 4.0)
    License URL
    https://creativecommons.org/licenses/by/4.0/
    Data URL
    https://ucdp.uu.se/downloads/
    Citation
    Uppsala Conflict Data Program (UCDP). 2021. "Ethnic One-Sided Violence (EOSV) Dataset" [dataset]. https://ucdp.uu.se/downloads/. Accessed January 2025. See also Fjelde, H., Hultman, L., Schubiger, L. I., Cederman, L.-E., Hug, S., and Sollenberg, M. 2021. "Introducing the Ethnic One-Sided Violence Dataset." Conflict Management and Peace Science 38(1): 109-126. https://doi.org/10.1177/0738894219863256.
    Worldwide Governance Indicators
    Name
    Worldwide Governance Indicators
    Note
    File location: Data/Raw/public/benchmark_data/World Bank Worldwide Governance Indicators/The Worldwide Governance Indicators.xlsx. Full dataset (Excel), 1996-2022 (2023 update), one sheet per dimension: VoiceandAccountability, Political StabilityNoViolence, GovernmentEffectiveness, RegulatoryQuality, RuleofLaw, ControlofCorruption. Variable used: the Estimate column of each sheet. Accessed January 2025.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 International (CC BY 4.0)
    License URL
    https://creativecommons.org/licenses/by/4.0/
    Data URL
    https://www.worldbank.org/en/publication/worldwide-governance-indicators
    Citation
    World Bank. 2023. "Worldwide Governance Indicators" [dataset]. 2023 update. https://www.worldbank.org/en/publication/worldwide-governance-indicators. Accessed January 2025. See also Kaufmann, D., Kraay, A., and Mastruzzi, M. 2011. "The Worldwide Governance Indicators: Methodology and Analytical Issues." Hague Journal on the Rule of Law 3(2): 220-246. https://doi.org/10.1017/S1876404511200046.
    World Handbook of Political Indicators IV
    Name
    World Handbook of Political Indicators IV
    Note
    File location: Data/Raw/public/benchmark_data/World Handbook of Political Indicators IV (WHIV)/WHIV (Daily-csv).csv. Daily event file (CSV). Variables used: eventdate, eventform, tgtloc_wdi. Publicly downloadable and free to use with citation. Accessed January 2025.
    Access policy
    Data is publicly available and included in the reproducibility package.
    Data URL
    https://sociology.osu.edu/worldhandbook
    Citation
    Jenkins, J. C., Taylor, C. L., Abbott, M., Maher, T. V., and Peterson, L. 2012. "World Handbook of Political Indicators IV" [dataset]. Mershon Center for International Security Studies, The Ohio State University. https://sociology.osu.edu/worldhandbook. Accessed January 2025.
    DRC Monthly Vector Autoregression (VAR) Dataset
    Name
    DRC Monthly Vector Autoregression (VAR) Dataset
    Note
    File location: Data/Raw/public/VAR/monthly/Democratic_Republic_of_the_Congo.csv. Authors' compilation, January 2012 to May 2024, read by Code/run_all.m. Columns: CPI, Exchange Rate, Interest Rate, Nighttime Light, Commodity Price Index, and four NBS series; the NBS columns are outputs of this package, computed from the Factiva article counts. Sources by column: (1) IMF Data Portal (https://data.imf.org): CPI (IMF.STA:CPI, series COD.CPI._T.SRP_YOY_PCH_PA_PT.M) and Exchange Rate (IMF.STA:ER, series COD.XDC_USD.PA_RT.M, converted by the authors to period-over-period percent change), accessed 12 November 2025; Commodity Price Index (IMF.RES:CTOT, series COD.CEPI_CTOTX_GDP.R_RW_IX.M), accessed 6 October 2025. (2) Banque Centrale du Congo policy rate (Taux directeur BCC, https://www.bcc.cd/statistiques/secteur-monetaire/taux-interet), built from the BCC history of policy-rate decisions and the Communique of 8 August 2023, with each decision carried forward until the next change; accessed November 2025. (3) Global Scale Nightlight Time Series Dataset (Najjar, Earth Observation Atlas; https://github.com/eoatlas/nightlight): monthly median nighttime-light intensity, national aggregate (ADM0), deseasonalized by the authors; accessed 1 October 2025.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    IMF Copyright and Usage terms (IMF series); Creative Commons Attribution 4.0 International (CC BY 4.0) (nighttime lights); free use with attribution (Banque Centrale du Congo)
    Citation
    Authors' compilation. 2025. "DRC Monthly Vector Autoregression (VAR) Dataset" [dataset]. Based on the IMF Data Portal (CPI, Exchange Rates, Commodity Terms of Trade); Banque Centrale du Congo, policy rate series; and Najjar, A. (2024), Global Scale Nightlight Time Series Dataset, Earth Observation Atlas.
    World Development Indicators
    Name
    World Development Indicators
    Note
    File locations: Section_4.3/Data/WDI/WDI_GDP_growth1.xlsx, WDI_GDP1.xlsx, WDI_GDPper1.xlsx, WDI_GDPper_growth1.xlsx, WDI_Exchange_Rate1.xlsx (the matching .dta files and WDI_Database.dta are created from these by NBS_Master.do). All countries, 1960-2024, wide format. Indicators: NY.GDP.MKTP.KD.ZG (GDP growth, annual %), NY.GDP.MKTP.KD (GDP, constant 2015 US$), GDP per capita, constant LCU, NY.GDP.PCAP.KD.ZG (GDP per capita growth, annual %), PA.NUS.FCRF (official exchange rate, LCU per US$, period average). Used in the firm-level application (Section 4.3). Accessed 1 October 2025.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 International (CC BY 4.0)
    License URL
    https://creativecommons.org/licenses/by/4.0/
    Data URL
    https://databank.worldbank.org/source/world-development-indicators
    Citation
    World Bank. 2025. "World Development Indicators" [dataset]. https://databank.worldbank.org/source/world-development-indicators. Accessed October 2025.
    World Economic Outlook Database, April 2024 Edition
    Name
    World Economic Outlook Database, April 2024 Edition
    Note
    File location: Section_4.3/Data/WDI/WDI_GDP_Deflator1.xlsx (the workbook keeps its WDI_ prefix because NBS_Master.do reads it by that name; it is converted to WDI_GDP_Deflator1.dta). Series NGDP_D (Gross domestic product, deflator, index), all countries, 1980-2029, reshaped by the authors to wide format with a Country column and one column per year (x1980 to x2029). Used in the firm-level application (Section 4.3). Accessed 1 October 2025.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    The Use of IMF Data
    License URL
    https://www.imf.org/external/terms.htm
    Data URL
    https://www.imf.org/en/Publications/WEO/weo-database/2024/April
    Citation
    International Monetary Fund. 2024. "World Economic Outlook Database, April 2024 Edition" [dataset]. https://www.imf.org/en/Publications/WEO/weo-database/2024/April. Accessed October 2025.
    Enterprise Surveys
    Name
    Enterprise Surveys
    Note
    File location: Section_4.3/Data/WBES/New_Comprehensive_May_5_2025.dta. Not included in the package; replicators must download it and save it unchanged at that path. Harmonized global raw-data file (Stata format), release of 5 May 2025, from the Combined Data tab, covering survey years 2006-2025. Free download after registering for an account; under the Enterprise Surveys terms of use the microdata may not be redistributed or shared with third parties. If the release has been superseded, request it from enterprisesurveys@worldbank.org. The variables used are listed in Section_4.3/README, section 4.3. NBS_Master.do rebuilds the derived firm-level file (Finale_Data.dta) from this download. Accessed May 2025.
    Access policy
    Data is publicly available but does not allow redistribution and it is not included in the reproducibility package.
    License
    Enterprise Surveys Data Access Protocol (accepted at registration)
    License URL
    https://www.enterprisesurveys.org
    Data URL
    https://www.enterprisesurveys.org
    Citation
    World Bank. 2025. "Enterprise Surveys: Combined Global Raw Dataset, 2006-2025" [dataset]. Release of 5 May 2025. https://www.enterprisesurveys.org. Accessed May 2025.
    Data statement

    The reproducibility package relies on three types of data: open, accessible, and limited-access data. For the source, access type, file location, and citation of each dataset, refer to the Datasets section and the README file.

    Description

    Output
    News-Based Multidimensional Political Instability In West And Central Africa
    Type
    Working Paper
    Title
    News-Based Multidimensional Political Instability In West And Central Africa
    Description
    Policy Research Working Paper (PRWP)
    Authors
    Author Affiliation Email
    Pierre Mandon World Bank pmandon@worldbank.org
    Kabinet Kaba World Bank kkaba1@worldbank.org
    Philipp Kronenberg KOF Swiss Economic Institute, ETH Zurich kronenberg@kof.ethz.ch
    Date of production

    2026-10-16

    Scope and coverage

    Geographic locations
    Location Code
    Sub-Saharan Africa SSA
    Keywords
    Political Instability Developing Countries Var Firms Performance News Sentiment Africa
    Topics
    ID Topic Parent topic ID Vocabulary Vocabulary URI
    C43 Index Numbers and Aggregation C4 Journal of Economic Literature (JEL)
    C82 Methodology for Collecting, Estimating, and Organizing Macroeconomic Data • Data Access C8 Journal of Economic Literature (JEL)
    E32 Business Fluctuations • Cycles E3 Journal of Economic Literature (JEL)
    F51 International Conflicts • Negotiations • Sanctions F5 Journal of Economic Literature (JEL)
    F52 National Security • Economic Nationalism F5 Journal of Economic Literature (JEL)
    N47 Africa • Oceania N4 Journal of Economic Literature (JEL)

    Disclaimer

    Disclaimer

    The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.

    Access and rights

    License
    Name URI
    MIT License https://opensource.org/license/mit
    World Bank IGO Rider https://github.com/worldbank/metadata-editor/blob/main/WB-IGO-RIDER.md

    Contacts

    Contacts
    Name Affiliation Email
    Pierre Mandon World Bank pmandon@worldbank.org
    Reproducibility WBG World Bank reproducibility@worldbank.org

    Information on metadata

    Producers
    Name Abbreviation Affiliation Role
    Reproducibility WBG DECDI World Bank - Development Impact Department Verification and preparation of metadata
    Date of Production

    2026-10-16

    Document version

    1

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