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PRWP

Reproducibility package for The Worldwide Governance Indicators: Methodology and 2024 Update

2024
Reference ID
RR_WLD_2024_206
Author(s)
Daniel Kaufmann, Aart Kraay
Collections
World Bank Policy Research Working Papers
Metadata
JSON
Created on
Oct 15, 2024
Last modified
Nov 05, 2024
  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
  • Disclaimer
  • Access and rights
  • Contacts
  • Information on metadata

    • Overview

    Abstract

    This paper provides an overview of the data sources and aggregation methodology for the Worldwide Governance Indicators (WGI). The WGI report six aggregate governance indicators measuring Voice and Accountability, Political Stability and Absence of Violence, Government Effectiveness, Regulatory Quality, Rule of Law, and Control of Corruption in a sample of 214 countries over the period 1996-2023. The aggregate indicators combine information from 35 different existing data sources, capturing subjective perceptions of the quality of various dimensions of governance reported by experts and survey respondents worldwide. The paper briefly discusses how to use reported margins of error when interpreting cross-country and over-time differences in the aggregate indicators. The paper also updates and extends earlier analysis on three key issues relating to the WGI methodology: (a) the effect of correlated perception errors, (b) the robustness to alternative weight schemes, and (c) the evidence on trends in global averages of governance.

    Reproducibility Package

    Scripts
    Title
    Reproducibility package (data and code) for The Worldwide Governance Indicators: Methodology and 2024 Update
    Date
    2024-10
    Dependencies
    This package does not have external dependencies.
    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

    Reproducibility

    Technology environment

    Paper exhibits were reproduced on a computer with the following specifications:
    • OS: Windows 11 Enterprise
    • Processor: Intel(R) Core(TM) i5-1145G7 CPU @ 2.60GHz
    • Memory available: 15.7 GB
    • Software version: Stata version 18.0 MP
    Technology requirements

    ~10 minutes runtime
    Reproduction instructions

    To reproduce the results from this package, new users should download the package, update the file path in the main do-file, and then run the code.

    Data

    Datasets
    Name
    Worldwide Governance Indicators
    Note
    Source: Worldwide Governance Indicators, Update 2024. Located at: data/wgidataset_with_sourcedata.dta; sourcedata.dta; resultsdata.dta. These datasets are derived from the Worldwide Governance Indicators, Update 2024, result of the reproducibility package linked below. Users have the option to replicate the analysis from the beginning by downloading the source reproducibility package and placing the necessary data files into the appropriate data folder. However, for convenience, the datasets are already included in this package, allowing for one-click reproducibility.
    Access policy
    Published with the package
    License
    Creative Commons Attribution 4.0 International License (CC BY 4.0)
    License URL
    https://www.worldbank.org/en/about/legal/terms-of-use-for-datasets
    Data URL
    https://reproducibility.worldbank.org/index.php/catalog/190
    Data statement

    All data sources are publicly available and included in the reproducibility package.

    Description

    Output
    Type
    Working Paper
    Title
    The Worldwide Governance Indicators: Methodology and 2024 Update
    Authors
    Daniel Kaufmann and Aart Kraay
    Description
    Policy Research Working Paper (PRWP) 10952
    URL
    http://documents.worldbank.org/curated/en/099005210162424110/IDU17c6f0b9e1f0c214b1d1b30d176c4644af69e
    DOI
    https://doi.org/10.1596/1813-9450-10952
    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

    2024-10

    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
    Modified BSD3 https://opensource.org/license/bsd-3-clause/

    Contacts

    Contacts
    Name Affiliation Email
    Aart Kraay World Bank akraay@worldbank.org
    Reproducibility WBG World Bank reproducibility@worldbank.org

    Information on metadata

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

    2024-09-26
    Document version

    1
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