{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DIME","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"prod_date":"2025-02-12","version":"1"},"project_desc":{"authoring_entity":[{"name":"James Anderson","email":"janderson2@worldbank.org","affiliation":"World Bank"},{"affiliation":"World Bank","name":"Akanksha Baidya","email":"abaidya1@worldbank.org"}],"title_statement":{"idno":"RR_WLD_2025_274","title":"Reproducibility package for Which Data Do Economists Use to Study Corruption? A Cross-Section of Corruption Research"},"abstract":"We examine a cross-section of published studies to inform our understanding of which data economists use to study corruption. For publication year 2022, we searched the EBSCO database and EconLit for articles with \u201ccorruption\u201d in the abstract, and then focused on the subsample which identified Journal of Economic Literature (JEL) codes.  We used the resulting dataset of 339 journal articles to examine the JEL codes used most often for corruption research, the most popular data sources for analysis, the type of data (e.g., survey, administrative, or experimental), the geographical foci, and whether the study examined the causes or consequences of corruption. Cross-country composite indicators remain the most popular measures, whereas single-country studies were more likely to use administrative data. Articles published in ranked journals were more likely to use administrative data and experimental data than those published in unranked journals. Studies examining the causes of corruption, while less numerous overall, were relatively more likely to be published in ranked journals. The full universe of 882 journal articles in a single year point to both the enormous academic interest in corruption and the larger literature on corruption in political science and public policy and public administration disciplines. The paper raises questions about inattention given to novel types of data and studies of the causes of corruption, as well as the need for a less-siloed approach within economics.","geographic_units":[{"name":"World","code":"WLD"}],"topics":[{"id":"D73","vocabulary":"JEL Classifications","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","parent_id":"D7","name":"Bureaucracy \u2022 Administrative Processes in Public Organizations \u2022 Corruption"},{"id":"D22","vocabulary":"JEL Classifications","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","parent_id":"D2","name":"Firm Behavior: Empirical Analysis"},{"id":"O47","vocabulary":"JEL Classifications","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","parent_id":"O4","name":"Empirical Studies of Economic Growth \u2022 Aggregate Productivity \u2022 Cross-Country Output Convergence"},{"id":"O57","vocabulary":"JEL Classifications","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","parent_id":"O5","name":"Comparative Studies of Countries"},{"id":"P50","vocabulary":"JEL Classifications","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","parent_id":"P5","name":"General"}],"output":[{"type":"Working Paper","description":"Policy Research Working Paper (PRWP) WPS11091","title":"Which Data Do Economists Use to Study Corruption? A Cross-Section of Corruption Research","uri":"http:\/\/documents.worldbank.org\/curated\/en\/099317403242534561","doi":"https:\/\/doi.org\/10.1596\/1813-9450-11091"}],"datasets":[{"name":"Corruption Literature data","note":"Source: Author's Compiled Data\nFilenames: Use of Corruption Data by Economists.dta, Use of Corruption Data by Economists_Longlist.dta\n\nThese datasets include data on articles that contain corruption-related keywords and JEL codes. For more details, refer to the README.","access_type":"Included in the package."}],"software":[{"name":"Stata","version":"18 MP"}],"scripts":[{"file_name":"RR_WLD_2025_274","zip_package":"RR_WLD_2025_274.zip","title":"Reproducibility package for Which Data Do Economists Use to Study Corruption? A Cross-Section of Corruption Research"}],"data_statement":"All data sources are publicly available and included in the reproducibility package.","reproduction_instructions":"To successfully reproduce the analysis, follow these steps:\n- Open the Stata dofile `Use of Corruption Data by Economists.do' located in the root directory. \n- Update the directory and run the script.","technology_environment":"Paper exhibits were reproduced on a computer with the following specifications:\n\u2022 OS: Windows 10 Enterprise, version 22H2\n\u2022 Processor: Intel(R) Xeon(R) Gold 6132 CPU @ 2.60GHz 2.60 GHz (2 processors)\n\u2022 Memory available: 128 GB\n\u2022 Software version: Stata 18 MP","technology_requirements":"~ 1 minute","repository_uri":[{"name":"Reproducible Research Repository (World Bank)","uri":"https:\/\/reproducibility.worldbank.org"}],"contacts":[{"name":"James Anderson","affiliation":"World Bank","email":"janderson2@worldbank.org"},{"name":"Reproducibility WBG","affiliation":"World Bank","email":"reproducibility@worldbank.org"}],"production_date":"2025-02-13"},"tags":[{"tag":"DOI"},{"tag":"Open code"},{"tag":"Open data"}],"schematype":"script"}