{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DIME","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"prod_date":"2024-09-26","version":"1"},"project_desc":{"authoring_entity":[{"name":"Daniel Kaufmann","affiliation":"Natural Resource Governance Institute (NRGI) and Brookings Institution","email":"daniel@kaufmanndata.net"},{"name":"Aart Kraay","affiliation":"World Bank","email":"akraay@worldbank.org"}],"title_statement":{"idno":"RR_WLD_2024_206","title":"Reproducibility package for The Worldwide Governance Indicators: Methodology and 2024 Update"},"production_date":"2024-10","geographic_units":[{"name":"World","code":"WLD","type":"Region"}],"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","uri":"http:\/\/documents.worldbank.org\/curated\/en\/099005210162424110\/IDU17c6f0b9e1f0c214b1d1b30d176c4644af69e","doi":"https:\/\/doi.org\/10.1596\/1813-9450-10952"}],"datasets":[{"name":"Worldwide Governance Indicators ","note":"Source: Worldwide Governance Indicators, Update 2024.\n\nLocated at:\ndata\/wgidataset_with_sourcedata.dta;\nsourcedata.dta;\nresultsdata.dta.\n\nThese 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.\n","access_type":"Published with the package","uri":"https:\/\/reproducibility.worldbank.org\/index.php\/catalog\/190","license_uri":"https:\/\/www.worldbank.org\/en\/about\/legal\/terms-of-use-for-datasets","license":"Creative Commons Attribution 4.0 International License (CC BY 4.0)"}],"scripts":[{"file_name":"RR_WLD_2024_206.zip","zip_package":"RR_WLD_2024_206.zip","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."}],"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.","language":[{"name":"English","code":"EN"}],"data_statement":"All data sources are publicly available and included in the reproducibility package. ","repository_uri":[{"name":"Reproducible Research Repository (World Bank)","uri":"https:\/\/reproducibility.worldbank.org"}],"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. ","technology_environment":"Paper exhibits were reproduced on a computer with the following specifications:\n\u2022 OS: Windows 11 Enterprise\n\u2022 Processor: Intel(R) Core(TM) i5-1145G7 CPU @ 2.60GHz\n\u2022 Memory available: 15.7 GB\n\u2022 Software version: Stata version 18.0 MP","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.","license":[{"name":"Modified BSD3","uri":"https:\/\/opensource.org\/license\/bsd-3-clause\/"}],"contacts":[{"name":"Aart Kraay","affiliation":"World Bank","email":"akraay@worldbank.org"},{"name":"Reproducibility WBG","affiliation":"World Bank","email":"reproducibility@worldbank.org"}]},"tags":[{"tag":"DOI"}],"schematype":"script"}