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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

    (World Bank)

  • Tandon, Sharad

    (World Bank)

  • Lopez-Acevedo, Gladys

    (World Bank)

  • Vergara Bahena, Mexico Alberto

    (World Bank)

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.

Suggested Citation

  • Atamanov, Aziz & Tandon, Sharad & Lopez-Acevedo, Gladys & 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," IZA Discussion Papers 13363, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp13363
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    1. Hai‐Anh Dang & Dean Jolliffe & Calogero Carletto, 2019. "Data Gaps, Data Incomparability, And Data Imputation: A Review Of Poverty Measurement Methods For Data‐Scarce Environments," Journal of Economic Surveys, Wiley Blackwell, vol. 33(3), pages 757-797, July.
    2. Bruce Meyer & Robert Goerge, 2011. "Errors in Survey Reporting and Imputation and Their Effects on Estimates of Food Stamp Program Participation," Working Papers 11-14, Center for Economic Studies, U.S. Census Bureau.
    3. Atamanov,Aziz & Wieser,Christina & Uematsu,Hiroki & Yoshida,Nobuo & Nguyen,Minh Cong & Azevedo,Joao Pedro Wagner De & Dewina,Reno, 2016. "Robustness of shared prosperity estimates : how different methodological choices matter," Policy Research Working Paper Series 7611, The World Bank.
    4. Raj Chetty & John N. Friedman & Nathaniel Hilger & Emmanuel Saez & Diane Whitmore Schanzenbach & Danny Yagan, 2011. "How Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1593-1660.
    5. Francisco H. G. Ferreira & Shaohua Chen & Andrew Dabalen & Yuri Dikhanov & Nada Hamadeh & Dean Jolliffe & Ambar Narayan & Espen Beer Prydz & Ana Revenga & Prem Sangraula & Umar Serajuddin & Nobuo Yosh, 2016. "A global count of the extreme poor in 2012: data issues, methodology and initial results," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(2), pages 141-172, June.
    6. Celhay, Pablo & Meyer, Bruce D. & Mittag, Nikolas, 2021. "Errors in Reporting and Imputation of Government Benefits and Their Implications," IZA Discussion Papers 14396, Institute of Labor Economics (IZA).
    7. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    8. Newhouse, D. & Shivakumaran, S. & Takamatsu, S. & Yoshida, N., 2014. "How survey-to-survey imputation can fail," Policy Research Working Paper Series 6961, The World Bank.
    9. Deon Filmer & Kinnon Scott, 2012. "Assessing Asset Indices," Demography, Springer;Population Association of America (PAA), vol. 49(1), pages 359-392, February.
    10. Deon Filmer & Lant Pritchett, 2001. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 115-132, February.
    11. Anna Aizer & Shari Eli & Joseph Ferrie & Adriana Lleras-Muney, 2016. "The Long-Run Impact of Cash Transfers to Poor Families," American Economic Review, American Economic Association, vol. 106(4), pages 935-971, April.
    12. Anna, Petrenko, 2016. "Мaркування готової продукції як складова частина інформаційного забезпечення маркетингової діяльності підприємств овочепродуктового підкомплексу," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 2(1), March.
    13. Serajuddin,Umar & Uematsu,Hiroki & Wieser,Christina & Yoshida,Nobuo & Dabalen,Andrew L., 2015. "Data deprivation : another deprivation to end," Policy Research Working Paper Series 7252, The World Bank.
    14. Mohamed Douidich & Abdeljaouad Ezzrari & Roy Van der Weide & Paolo Verme, 2016. "Estimating Quarterly Poverty Rates Using Labor Force Surveys: A Primer," The World Bank Economic Review, World Bank, vol. 30(3), pages 475-500.
    15. Andrew Dabalen & Alvin Etang & Johannes Hoogeveen & Elvis Mushi & Youdi Schipper & Johannes von Engelhardt, 2016. "Mobile Phone Panel Surveys in Developing Countries," World Bank Publications - Books, The World Bank Group, number 24595, December.
    16. Kenneth Harttgen & Stephan Klasen & Sebastian Vollmer, 2013. "An African Growth Miracle? Or: What do Asset Indices Tell Us About Trends in Economic Performance?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59, pages 37-61, October.
    17. Toomet,Ott & Blumenstock,Joshua Evan & Scherer,Thomas & Herskowitz,Sylvan Rene & Ghani,Tarek F. & Kapstein,Ethan B., 2018. "Insecurity and industrial organization : evidence from Afghanistan," Policy Research Working Paper Series 8301, The World Bank.
    18. World Bank, 2018. "Poverty and Shared Prosperity 2018 [Rapport 2018 sur la pauvreté et la prospérité partagée]," World Bank Publications - Books, The World Bank Group, number 30418, December.
    19. Dave Donaldson & Adam Storeygard, 2016. "The View from Above: Applications of Satellite Data in Economics," Journal of Economic Perspectives, American Economic Association, vol. 30(4), pages 171-198, Fall.
    20. Santos, María Emma, 2019. "Non-monetary indicators to monitor SDG targets 1.2 and 1.4: standards, availability, comparability and quality," Estudios Estadísticos 44452, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    21. Jose Cuesta & Gabriel Lara Ibarra, 2017. "Comparing Cross-Survey Micro Imputation and Macro Projection Techniques: Poverty in Post Revolution Tunisia," Journal of Income Distribution, Ad libros publications inc., vol. 25(1), pages 1-30, March.
    22. J. Vernon Henderson & Adam Storeygard & David N. Weil, 2012. "Measuring Economic Growth from Outer Space," American Economic Review, American Economic Association, vol. 102(2), pages 994-1028, April.
    23. Katharine G. Abraham & Sara E. Helms & Stanley Presser, 2008. "How Social Processes Distort Measurement: The Impact of Survey Nonresponse on Estimates of Volunteer Work," NBER Working Papers 14076, National Bureau of Economic Research, Inc.
    24. Aziz Atamanov & Dean M. Jolliffe & Christoph Lakner & Espen Beer Prydz, 2018. "Purchasing Power Parities Used in Global Poverty Measurement," Global Poverty Monitoring Technical Note Series 5, The World Bank.
    25. World Bank, 2017. "Monitoring Global Poverty," World Bank Publications - Books, The World Bank Group, number 25141, December.
    26. Johannes Hoogeveen & Utz Pape, 2020. "Data Collection in Fragile States," World Bank Publications - Books, The World Bank Group, number 32576, December.
    27. Aziz Atamanov & Nethra Palaniswamy, 2018. "West Bank and Gaza Poverty and Shared Prosperity Diagnostic 2011-2017," World Bank Publications - Reports 30405, The World Bank Group.
    28. Croke, Kevin & Dabalen, Andrew & Demombynes, Gabriel & Giugale, Marcelo & Hoogeveen, Johannes, 2012. "Collecting high frequency panel data in Africa using mobile phone interviews," Policy Research Working Paper Series 6097, The World Bank.
    29. Meyer, Bruce D. & Mittag, Nikolas & Goerge, Robert M., 2018. "Errors in Survey Reporting and Imputation and Their Effects on Estimates of Food Stamp Program Participation," IZA Discussion Papers 11776, Institute of Labor Economics (IZA).
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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, 2022. "Monitoring Poverty in a Data Deprived Environment: The Case of Lebanon," Working Papers 2022-014, Human Capital and Economic Opportunity Working Group.
    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

    Middle East and North Africa; poverty; household budget surveys;
    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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