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


  • Daniele Pacifico

    () (OECD)

  • Felix Pöge

    () (University of Bonn)


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.

Suggested Citation

  • Daniele Pacifico & Felix Pöge, 2015. "MPI: Stata module to compute the Alkire-Foster multidimensional poverty measures and their decomposition by deprivation indicators and population sub-groups," Statistical Software Components S458120, Boston College Department of Economics, revised 23 Jun 2017.
  • Handle: RePEc:boc:bocode:s458120
    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.

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    poverty; poverty index; Alkire; Foster;


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