A Robust Multi-Dimensional Poverty Profile for Uganda

PEP Working Paper No. 2011-20

41 Pages Posted: 21 Dec 2011 Last revised: 1 May 2018

See all articles by Sebastian Levine

Sebastian Levine

United Nations Development Programme

Muwonge James

Uganda Bureau of Statistics

Yele Maweki Batana

World Bank

Date Written: October 18, 2011


In this paper we compute a multi-dimensional poverty index (MPI) for Uganda following the approach proposed by Alkire and Forster (2007). Using household survey data we show how the incidence of multi-dimensional poverty has fallen in recent years and we use the decomposability features of the index to explain the drivers of reduction in multi-dimensional poverty. We also compare the results from Uganda with other countries for which the MPI has been computed and we note some caveats in such a comparison. The robustness of our estimates is tested in a stochastic dominance framework and using statistical inference. Notably, we extend the one-dimensional analysis of stochastic dominance to take into account household size in a second dimension, which is particularly important as some of the MPI indicators are sensitive to the number of household members. By exploiting a unique sub-sample of the integrated household survey program in Uganda, which has not previously been analyzed, we are also able to match the data-set used for the MPI with data used to compute the conventional estimates of monetary poverty. This enables a more robust assessment of the complementarities of the two types of poverty measures than has been previously possible.

Keywords: multidimensional poverty, counting approach, Uganda, household size, robustness analysis, international comparisons

JEL Classification: C12, D31, D63, I3, I32, O10

Suggested Citation

Levine, Sebastian and James, Muwonge and Batana, Yele Maweki, A Robust Multi-Dimensional Poverty Profile for Uganda (October 18, 2011). PEP Working Paper No. 2011-20, Available at SSRN: https://ssrn.com/abstract=1975004

Sebastian Levine

United Nations Development Programme ( email )


Muwonge James

Uganda Bureau of Statistics ( email )

P.O. Box 7186

Yele Maweki Batana (Contact Author)

World Bank ( email )

1818 H Street
Washington, DC 20433
United States

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