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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

Author

Listed:
  • Daniele Pacifico

    () (OECD)

  • Felix Pöge

    () (University of Bonn)

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.

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". Windows users should not attempt to download these files with a web browser.
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    File URL: http://fmwww.bc.edu/repec/bocode/m/mpi.ado
    File Function: program code
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/m/mpi.sthlp
    File Function: help file
    Download Restriction: no

    Citations

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    Cited by:

    1. Ponomarev, Yuriy (Пономарев, Юрий) & Rey, Aleksey (Рей, Алексей) & Radchenko, Darya (Радченко, Дарья), 2018. "Investigation of the Relationship between the Intensity of International Trade and the Volatility of Paired Exchange Rates of the Russian Federation and its Trading Partners
      [Исследование Взаимосвя
      ," Working Papers 061823, Russian Presidential Academy of National Economy and Public Administration.
    2. Leandro Medina, 2012. "Spring Forward or Fall Back? The Post-Crisis Recovery of Firms," IMF Working Papers 12/292, International Monetary Fund.
    3. Baggs, Jen & Fung, Loretta & Lapham, Beverly, 2018. "Exchange rates, cross-border travel, and retailers: Theory and empirics," Journal of International Economics, Elsevier, vol. 115(C), pages 59-79.
    4. Robert J. Hill & Alice O. Nakamura, 2010. "Improving Inflation And Related Performance Measures For Nations: An Introduction," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(s1), pages 1-10, June.
    5. Jen Baggs & Eugene Beaulieu & Loretta Fung & Beverly Lapham, 2016. "Firm Dynamics in Retail Trade: The Response of Canadian Retailers to Exchange Rate Shocks," Review of International Economics, Wiley Blackwell, vol. 24(3), pages 635-666, August.
    6. Toraganlı, Nazlı & Yazgan, M. Ege, 2016. "Exchange rates and firm survival: An examination with Turkish firm-level data," Economic Systems, Elsevier, vol. 40(3), pages 433-443.

    More about this item

    Keywords

    poverty; poverty index; Alkire; Foster;

    Statistics

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