Dataset
The Global Multidimensional Poverty Index: harmonised level estimates and their changes over time
- Documentation:
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This Database provides estimates of the global Multidimensional Poverty Index (MPI) an international measure of acute poverty. More specifically, it contains harmonised level estimates and their changes over time of the global MPI and related sub-indices, which have been estimated for the 2023 release. For this Database all deprivation indicators have been harmonised over time.
The Database covers estimates for 84 countries and 814 subnational regions for up to four points of observation. The estimates are based on 211 individual survey datasets, mostly the Demographic Health Survey (DHS) and the Multiple Indicator Cluster Survey (MICS). The Database is organised in two results files, one for level estimates and one for change estimates. Both results files are each provided in Stata format (dta) and comma separated values (csv). This repository also contains the computer script files to extract and clean the micro data for replication purposes (i.e. the Stata do-files).
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- Files:
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(csv, 25.8MB, Terms of use)
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(bin, 13.7MB, Terms of use)
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(csv, 38.3MB, Terms of use)
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(bin, 20.3MB, Terms of use)
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(plain, 2.3KB, Terms of use)
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(zip, 3.0MB, Terms of use)
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Authors/Creators
- Publisher:
- University of Oxford
- Publication date:
- 2023
- Physical storage location:
- Files are on nextcloud - please contact Usha Kanagaratnam.
- Version number:
- 3.0
- DOI:
- Language:
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English
- Keywords:
- Pubs id:
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1506426
- Local pid:
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pubs:1506426
- Deposit date:
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2023-08-11
- ARK identifier:
Terms of use
- Copyright holder:
- University of Oxford
- Copyright date:
- 2023
- Notes:
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This repository contains the database "The Global Multidimensional Poverty Index: Harmonised Level Estimates and their Changes over Time" version 3 released in 2023. Moreover, the repository also provides the computer scripts to clean the underlying micro data and construct the relevant deprivation indicators for replication purposes. Please note that these computer scripts (Stata do-files) may contain more information than used for the production of this Database.
Both the Database itself and the computer scripts are shared under a permissive Creative Commons license (CC-BY 4.0) and thus are open access. Essentially, all the results from the Database and the computer scripts produced by OPHI authors are free for you to take and use — no permission is required. You just need to provide credit to the OPHI authors by referencing the methodological note shown below and additional documentation as needed.
For the license deed, see https://creativecommons.org/licenses/by/4.0/deed.en. By downloading the Database and the computer scripts the user accepts the license terms.
For further documentation of this Database see in particular:
1. Suppa and Kanagaratnam (2023) who provide a general overview about computations, production and structure of the database files.
2. Alkire, Kanagaratnam and Suppa (2023) who provide further details on country specific decisions applied in the computer scripts.
3. Suppa (2023), who documents the Stata package -mpitb-, which is used for the estimation this database. The package is publicly available at the statistical software component (SSC) archive and on at gitlab.
References
Alkire, S., Kanagaratnam, U., and Suppa, N. (2023). A methodological note on the global Multidimensional Poverty Index (MPI) 2023 changes over time results for 84 countries. OPHI MPI Methodological Note 57, Oxford Poverty and Human Development Initiative, University of Oxford.
Suppa, N. and Kanagaratnam, U. (2023). The Global Multidimensional Poverty Index: Harmonised level estimates and their changes over time. OPHI Research in Progress 66a, Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. Submitted to Scientific Data.
Suppa, N. (2023). mpitb: A toolbox for multidimensional poverty indices. Stata Journal, vol. 23 (3), pp. 625–657, doi:https://doi.org/10.1177/1536867X231195286.
- Licence:
- CC Attribution (CC BY)
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