{"type":"script","doc_desc":{"producers":[{"name":"Reyes Retana","affiliation":"World Bank","role":"Junior Data Scientist","abbr":"MRR"}],"prod_date":"2023-08-22","version":"1"},"project_desc":{"datasets":[{"name":"UN Global SDG Database","uri":"https:\/\/unstats.un.org\/sdgs\/indicators\/en\/#","access_type":"Published with package"},{"name":"World Development Indicators","uri":"https:\/\/datatopics.worldbank.org\/world-development-indicators\/","access_type":"Published with package"}],"software":[{"name":"R","version":" 4.2.1"}],"scripts":[{"source_code_repo":"Reproducible Research Repository (World Bank).","instructions":"See README in reproducibility package.","notes":"Computational reproducibility verified by Development Impact (DIME) Analytics team, World Bank.","dependencies":"All dependencies are stored in the renv.lock file in the reproducibility package.","software":"R","date":"2023-08","title":"Reproducibility package (data and code) for Missing SDG Gender Indicators","zip_package":"RR_WLD_2023_PRWP-10544_prg_v01.zip","file_name":"RR_WLD_2023_PRWP-10544_prg_v01","description":"The code in this replication packages constructs the analysis files and tables and figures for Beegle, Serajuddin, Stacy, and Wadhwa (2023) using R. One main file runs all of the code to generate the data and figures. The file is located in 02_programs\/Missing-SDG-Gender-Indicators.Rmd. The replicator should expect the code to run for around 20-30 minutes."}],"title_statement":{"title":"Reproducibility package for Missing SDG Gender Indicators","idno":"RR_WLD_2023_PRWP-10544_v01"},"contacts":[{"affiliation":"World Bank","email":"kbeegle@worldbank.org","name":"Kathleen Beegle"},{"name":"Reproducibility WBG","email":"reproducibility@worldbank.org","affiliation":"World Bank"}],"license":[{"name":"Creative Commons Attribution 4.0 International (CC BY 4.0) License","uri":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"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.","geographic_units":[{"name":"World","code":"WLD"}],"abstract":"The Sustainable Development Goal agenda lays out an ambitious set of 231 indicators to track progress. Countries continue to fall short in terms of reporting on the indicators in general, and this is particularly the case for the subset of 50 gender-related indicators, where countries reported on average on 31 percent of these indicators in at least one year from 2016 to 2020. A closer look at this low coverage reveals four salient fundings. First, this is not just a problem of missing data; lack of reporting on existing data is detected to be a problem. For example, of the 32 gender-related indicators that are sex disaggregated, if countries that had a population estimate also had a sex-disaggregated estimate (which is almost always feasible), the Sustainable Development Goal gender coverage rate would be 43 percent instead of 31 percent. Second, better statistical systems are a major part of the solution, as statistical system strength is correlated with higher coverage. Third, poorer countries are doing no worse in reporting on gender-related Sustainable Development Goal indicators than high-income countries, despite weaker statistical systems. Lastly, sizable over (and under) performance in reporting, conditional on statistical strength, suggests that country-level advocacy and focus can yield wins in Sustainable Development Goal gender indicator coverage.","production_date":"2023-08","keywords":[{"name":"statistical indicators"},{"name":" gender"},{"name":"national statistical system"}],"topics":[{"id":"J16","name":"Economics of Gender","parent_id":"J1\t","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"JEL Classifications"}],"data_statement":"All data is public and contained in the reproducibility package. Please refer to the README file for full details.","technology_environment":"Computer 1:\n\u2022 OS: Windows 11 Enterprise\n\u2022 Processor: Intel(R) Core(TM) i5-1145G7 CPU @ 2.60GHz\nmissing sdg gender indicators reproducibility verification report 2\n\u2022 Memory available: 15.7 GB\n\u2022 Software version: R version 4.3.0\nComputer 2:\n\u2022 OS: Windows 10 Enterprise, version 21H2\n\u2022 Processor: Intel(R) Core(TM) i7-8665U CPU @ 1.90GHz 2.11\nGHz\n\u2022 Memory available: 15.8 GB\n\u2022 Software version: R version 4.2.1","technology_requirements":"~20min runtime","reproduction_instructions":"A README file with detailed instructions is part of the reproducibility package.","repository_uri":[{"name":"Reproducible Research Repository (World Bank)","uri":"https:\/\/reproducibility.worldbank.org"}],"authoring_entity":[{"name":"Kathleen Beegle","affiliation":"World Bank","email":"kbeegle@worldbank.org","author_id":[{"type":"ORCID","id":"0000-0002-7080-7411"}]},{"name":"Umar Serajuddin","affiliation":"World Bank","email":"userajuddin@worldbank.org"},{"name":"Brian Stacy","affiliation":"World Bank","email":"bstacy@worldbank.org"},{"name":"Divyanshi Wadhwa","affiliation":"World Bank","email":"dwadhwa@worldbank.org"}],"output":[{"type":"Working Paper","title":"Missing SDG Gender Indicators","authors":"Kathleen Beegle, Uma Serajuddin, Brian Stacy, Divyanshi Wadhwa","description":"Policy Research Working Paper (PRWP) 10544","doi":"https:\/\/doi.org\/10.1596\/1813-9450-10544"}],"language":[{"name":"English","code":"EN"}]},"tags":[{"tag":"DOI"}],"schematype":"script"}