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Reproducibility package for 2023 Update of Worldwide Governance Indicators

2023
Get Reproducibility Package
Reference ID
FR_WLD_2023_WGI-2_v01
DOI
https://doi.org/10.60572/8n3y-ev47
Author(s)
Daniel Kaufmann, Aart Kraay
Collections
Flagships and Reports
Metadata
JSON
Created on
Oct 04, 2023
Last modified
Oct 20, 2023
  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
  • Disclaimer
  • Access and rights
  • Contacts
  • Information on metadata
  • Citation

    • Overview

    Abstract

    The Worldwide Governance Indicators (WGI) project reports aggregate and individual governance indicators for over 200 countries and territories over the period 1996–2021, for six dimensions of governance: (1) Voice and Accountability, (2) Political Stability and Absence of Violence/Terrorism, (3) Government Effectiveness, (4) Regulatory Quality, (5) Rule of Law, (6) Control of Corruption. These aggregate indicators combine the views of a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. They are based on over 30 individual data sources produced by a variety of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms.

    Reproducibility Package

    Scripts
    Get Reproducibility Package
    Title
    Reproducibility package (data and code) for 2023 Update of Worldwide Governance Indicators
    Date
    2023-09
    Software
    Stata
    Instructions
    See README in reproducibility package
    Repository
    Reproducible Research Repository (World Bank)
    Notes
    Computational reproducibility verified by Development Impact (DIME) Analytics team, World Bank.
    Source code repository
    Repository name URI
    Reproducible Research Repository (World Bank) https://reproducibility.worldbank.org
    Software
    Name
    Stata
    Version
    16.1

    Reproducibility

    Technology environment

    OS: Windows 10 Enterprise, version 21H2
    Processor: Intel(R) Core(TM) i7-8665U CPU @ 1.90GHz 2.11 GHz
    Memory available: 15.8 GB
    Software version: Stata 16.1

    Data

    Data statement

    All data is public and contained in the reproducibility package.

    Description

    Output
    Type
    Dataset
    Title
    WGI 2023 dataset
    Authors
    Daniel Kaufmann, Aart Kraay
    Project website
    • https://www.govindicators.org/
    Authors
    Author Affiliation Email
    Daniel Kaufmann Natural Resource Governance Institute (NRGI) and Brookings Institution daniel@kaufmanndata.net
    Aart Kraay World Bank akraay@worldbank.org
    Date of production

    2023-09

    Scope and coverage

    Geographic locations
    Location Code
    World WLD

    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
    Creative Commons Attribution 4.0 (CC-BY 4.0) https://creativecommons.org/licenses/by/4.0/

    Contacts

    Contacts
    Name Role Affiliation Email URI
    Aart Kraay Author World Bank, Development Economics akraay@worldbank.org
    Reproducibility WB reproducibility@worldbank.org

    Information on metadata

    Producers
    Name Abbreviation Affiliation
    San Martin LSM World Bank
    Date of Production

    2023-10-02
    Document version

    1

    Citation

    Citation
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