Economics at your fingertips  

MPI: Stata module to compute the Alkire-Foster multidimensional poverty measures and their decomposition by deprivation indicators and population sub-groups

Daniele Pacifico () and Felix Pöge ()
Additional contact information
Felix Pöge: University of Bonn

Statistical Software Components from Boston College Department of Economics

Abstract: MPI estimates the Adjusted Multidimensional Headcount Ratio developed by Alkire and Foster (2011), also known as the Multidimensional Poverty Index. With ordinal and real-valued indicators MPI allows estimating the entire parametric class of Alkire-Foster poverty measures for arbitrary values of the poverty-aversion parameter. All poverty measures can be conveniently decomposed by deprivation indicators and population sub-groups. Users can specify an indefinite number of indicators and use a flexible weighting structure for each of them. Poverty thresholds can be set directly within the command line using a flexible notation for identifying who is above or below the threshold. Deprivation indicators can be grouped into broader policy domains which simplifies the analysis of results in many empirical applications. The survey design is fully taken into account when computing indicators, standard errors and covariances. MPI allows using standard Stata features such as nonparametric bootstrap estimation of the results and mean-comparison tests.

Language: Stata
Requires: Stata version 13
Keywords: poverty; poverty index; Alkire; Foster (search for similar items in EconPapers)
Date: 2015-12-09, Revised 2017-06-23
Note: This module should be installed from within Stata by typing "ssc install mpi". The module is made available under terms of the GPL v3 ( Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link) program code (text/plain) help file (text/plain)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Ordering information: This software item can be ordered from

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().

Page updated 2021-04-14
Handle: RePEc:boc:bocode:s458120