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
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.
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 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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http://fmwww.bc.edu/repec/bocode/m/mpi.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mpi.sthlp help file (text/plain)
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Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s458120
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