{"type":"script","doc_desc":{"producers":[{"name":"Krestel","abbr":"CK","affiliation":"World Bank"}],"prod_date":"2023-09-25","version":"2"},"project_desc":{"authoring_entity":[{"name":"Benoit Decerf","affiliation":"World Bank","email":"bdecerf@worldbank.org","author_id":[{"type":"ORCID","id":"0000-0002-0768-501X"}]},{"name":"Kike Fonton","affiliation":"Universit\u00e9 Gaston Berger de Saint-Louis & Ghent University"}],"output":[{"type":"Working Paper","title":"Reconceptualizing Global Multidimensional Poverty Measurement, with Illustration on Nigerian Data","authors":"Benoit Decerf, Kike Fonton","description":"Policy Research Working Paper (PRWP) 10577","doi":"https:\/\/doi.org\/10.1596\/1813-9450-10577","uri":"https:\/\/elibrary.worldbank.org\/doi\/abs\/10.1596\/1813-9450-10577"}],"software":[{"name":"Stata","version":"17"}],"scripts":[{"dependencies":"Various. Please see the folder Programs\/AdoFolder for the ado files used","software":"Stata","file_name":"RR_NGA_2023_18_prg_v01.zip","zip_package":"RR_NGA_2023_18_prg_v01.zip","title":"Reproducibility package (data and code) for Reconceptualizing Global Multidimensional Poverty Measurement, with Illustration on Nigerian Data","date":"2023-09","instructions":"See readme in reproducibility package","notes":"Computational reproducibility verified by Development Impact (DIME) Analytics team, World Bank"}],"title_statement":{"title":"Reproducibility package for Reconceptualizing Global Multidimensional Poverty Measurement, with Illustration on Nigerian Data","idno":"RR_NGA_2023_18-v01"},"acknowledgment_statement":"We are grateful to Deon Filmer, Lain Jonathan and Tara Vishwanath for helpful discussions and suggestions. We thank Berk Ozler and Aart Kraay who commented on an earlier version of this paper. We thank all the participants at an internal seminar of the World Bank and in particular Jed Friedman, Christoph Lakner, Daniel Malher. We are also thankful to the code reviewers Samih Ferrah, Anisur Bali, Muhsine Senart, for their invaluable help in reviewing the analysis codes compiled within this framework.","production_date":"2023-09","geographic_units":[{"name":"Nigeria","code":"NGA","type":"cty"}],"language":[{"name":"English ","code":"EN"}],"data_statement":"All data is public. Please see the README file for instructions about obtaining the data.","repository_uri":[{"name":"Reproducible Research Repository (World Bank)","uri":" https:\/\/reproducibility.worldbank.org"}],"technology_environment":"OS: Microsoft Windows 10 Version 21H2\nProcessor: Intel(R) Xeon(R) CPU E7-4890 v2 @ 2.80GHz, 2800 Mhz, 2 Core(s), 2 Logical Processor(s). \nMemory available: 15.8 GB","license":[{"name":"Modified BSD3","uri":"https:\/\/opensource.org\/license\/bsd-3-clause\/"}],"reproducibility_status":{"type":" Open access","note":"The package contains all code and data needed to reproduce all findings in the report"},"abstract":"Multidimensional poverty measures can in theory make well-being comparisons that are less biased than those solely based on monetary poverty. However, global multidimensional poverty measures suffer in practice from limitations that have led to credible criticisms. This paper presents the case for multidimensional poverty measures, two criticisms against their current implementations, as well as recently proposed solutions to improve on these criticisms. The paper develops a method for implementing these solutions in practice. The resulting well-being indicator is used to compare well-being across Nigerian states in 2019. This empirical illustration suggests that these solutions may substantially affect well-being comparisons. The paper also quantifies the potential bias inherent to comparing well-being solely based on monetary poverty. The results find substantially different well-being comparisons between the proposed well-being indicator and monetary poverty even though monetary poverty was (i) high in Nigeria in 2019, (ii) very heterogeneously distributed across Nigerian states, and (iii) integrated as one component of the proposed well-being indicator. The paper aims to improve global multidimensional poverty measures by making them more consistent with individual preferences and by incorporating the direct impact of mortality, which deprives individuals of the most important functioning.","contacts":[{"name":"Benoit Decerf","role":"Author","affiliation":"World Bank","email":"bdecerf@worldbank.org"},{"name":"Reproducibility WBG","email":"reproducibility@worldbank.org","uri":"reproducibility.worldbank.org"}],"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.","methods":[{"name":"Alkire-Foster identification method"}],"reproduction_instructions":"A readme file with detailed instructions is part of the reproducibility package","identifiers":[{"type":"DOI","identifier":"https:\/\/doi.org\/10.60572\/0sgh-5g43"}]},"tags":[{"tag":"DOI"},{"tag":"Fully Reproducible"},{"tag":"Missing"},{"tag":"PRWP"},{"tag":"WB verified"}],"schematype":"script"}