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Measuring Monetary Poverty in the Middle East and North Africa (MENA) Region : Data Gaps and Different Options to Address Them

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  • Atamanov,Aziz
  • Tandon,Sharad Alan
  • Lopez-Acevedo,Gladys C.
  • Vergara Bahena,Mexico Alberto

Abstract

This paper identifies gaps in availability, access, and quality of household budget surveys in the Middle East and North Africa region used to measure monetary poverty and evaluates ways to fill these information gaps. Despite improving public access to household budget surveys, the availability and timeliness of welfare data in the Middle East and North Africa region is poor compared to the rest of the world. Closing the data gap requires collection of more HBS data in more countries and improving access to data where it exists. However, when collection of consumption data is not possible, a variety of other second-best strategies can be employed. Using imputation methods can help to measure monetary poverty. Constructing non-monetary poverty and asset indexes from less robust surveys, using non-traditional surveys such as phone surveys, and "big data" -- administrative records, social networks and communications data, and geospatial data -- can help substitute for, or complement data from existing traditional survey data.

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  • Atamanov,Aziz & Tandon,Sharad Alan & Lopez-Acevedo,Gladys C. & Vergara Bahena,Mexico Alberto, 2020. "Measuring Monetary Poverty in the Middle East and North Africa (MENA) Region : Data Gaps and Different Options to Address Them," Policy Research Working Paper Series 9259, The World Bank.
    • Handle: RePEc:wbk:wbrwps:9259
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    Cited by:

    1. Robertson, Raymond & Vergara Bahena, Mexico Alberto & Lopez-Acevedo, Gladys, 2022. "Is International Trade Always Beneficial to Labor Markets? A Case Study from Egypt," IZA Discussion Papers 15626, Institute of Labor Economics (IZA).
    2. Ekhator-Mobayode,Uche Eseosa & Hoogeveen,Johannes G., 2021. "Microdata Collection and Openness in the Middle East and North Africa (MENA) : Introducing the MENAMicrodata Access Indicator," Policy Research Working Paper Series 9892, The World Bank.
    3. Vladimir Hlasny & Paolo Verme, 2022. "On the ‘Arab Inequality Puzzle’: A Comment," Development and Change, International Institute of Social Studies, vol. 53(2), pages 448-458, March.
    4. Robertson,Raymond & Vergara Bahena,Mexico Alberto & Kokas,Deeksha & Lopez-Acevedo,Gladys C., 2021. "International Trade and Labor Markets : Evidence from the Arab Republic of Egypt," Policy Research Working Paper Series 9668, The World Bank.
    5. Paul Makdissi & Walid Marrouch & Myra Yazbeck, 2025. "Monitoring Poverty in a Data‐Deprived Environment: The Case of Lebanon," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 71(1), February.
    6. Mohamad A. Khaled & Paul Makdissi & D.S. Prasada Rao & Myra Yazbeck, 2023. "A unidimensional representation of multidimensional inequality, with an application to the Arab region," Discussion Papers Series 659, School of Economics, University of Queensland, Australia.

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    More about this item

    Keywords

    Inequality; Labor&Employment Law; Health Care Services Industry; Poverty Lines; Small Area Estimation Poverty Mapping; Poverty Assessment; Poverty Monitoring&Analysis; Poverty Diagnostics; Poverty Impact Evaluation; Educational Sciences;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General

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