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Household Level Non-Monetary Poverty in Ethiopia and its Driving Factors: a Multidimensional Approach with Panel Estimation

Author

Listed:
  • Migbaru Alamirew Workneh

    (University of Insubria)

  • Zerayehu Sime Eshete

    (Addis Ababa University)

Abstract

By employing Alkire and Foster (J Public Econ 95(7–8):476–487, 2011a) counting approach and Cerioli and Zani (A fuzzy approach to the measurement of poverty, Springer, Berlin, 1990) unequal weighting method, this study estimates the non-monetary multidimensional poverty in Ethiopia for three waves with fourteen country-specific indicators and four dimensions in its first part; and tried to identify the presence of state dependence with unobserved heterogeneity using dynamic random effect probit model with unobserved heterogeneity estimation technique in its second part. The data for the three waves are from Demographic and Health Survey (DHS) of Ethiopia for the year 2005, 2011 and 2016. The panel estimation of non-monetary multidimensional poverty gives a higher level of multidimensional poverty compared to the reports from international organizations, mainly from OPHI and UNDP, in respective years. This is mainly due to the additional indicators and the weighting method used. Housing, cooking fuel, toilet and sanitation and electricity played a significant role compared with the other indicators for the high non-monetary multidimensional poverty in the country. It is also found that there is a substantial and positive impact of the previous poverty status of households for their future experience in poverty. Households living in rural areas are more prone to experience poverty and have low chance to exit from poverty compared to urban households. In addition to focus on infrastructure development in fighting poverty, the governments’ development policies and strategies should target households who are experiencing poverty trap mainly those who are living in rural areas.

Suggested Citation

  • Migbaru Alamirew Workneh & Zerayehu Sime Eshete, 2021. "Household Level Non-Monetary Poverty in Ethiopia and its Driving Factors: a Multidimensional Approach with Panel Estimation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(1), pages 145-168, February.
  • Handle: RePEc:spr:soinre:v:154:y:2021:i:1:d:10.1007_s11205-020-02569-4
    DOI: 10.1007/s11205-020-02569-4
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    References listed on IDEAS

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    1. Sabina Alkire and Selim Jahan, 2018. "The New Global MPI 2018: Aligning with the Sustainable Development Goals," OPHI Working Papers ophiwp121.pdf, Queen Elizabeth House, University of Oxford.
    2. Brück, Tilman & Workneh Kebede, Sindu, 2013. "Dynamics and Drivers of Consumption and Multidimensional Poverty: Evidence from Rural Ethiopia," IZA Discussion Papers 7364, Institute of Labor Economics (IZA).
    3. Sabina Alkire, Maria Emma Santos, 2010. "Acute Multidimensional Poverty: A New Index for Developing Countries," OPHI Working Papers 38, Queen Elizabeth House, University of Oxford.
    4. Seff, Ilana & Jolliffe, Dean, 2017. "Multidimensional Poverty Dynamics in Ethiopia: How do they differ from Consumption-based Poverty Dynamics?," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 25(2), May.
    5. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 476-487, August.
    6. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    7. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521535380.
    8. Alan C. Acock, 2013. "Discovering Structural Equation Modeling Using Stata," Stata Press books, StataCorp LP, number dsemus, March.
    9. Alkire, Sabina & Santos, Maria Emma, 2014. "Measuring Acute Poverty in the Developing World: Robustness and Scope of the Multidimensional Poverty Index," World Development, Elsevier, vol. 59(C), pages 251-274.
    10. Koen Decancq & María Ana Lugo, 2012. "Inequality of Wellbeing: A Multidimensional Approach," Economica, London School of Economics and Political Science, vol. 79(316), pages 721-746, October.
    11. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521828284.
    12. Cheng Hsiao, 2007. "Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 1-22, May.
    13. Raffaele Grotti & Giorgio Cutuli, 2018. "xtpdyn: A community-contributed command for fitting dynamic random-effects probit models with unobserved heterogeneity," Stata Journal, StataCorp LP, vol. 18(4), pages 844-862, December.
    14. John C. Anyanwu, 2014. "Marital Status, Household Size and Poverty in Nigeria: Evidence from the 2009/2010 Survey Data," African Development Review, African Development Bank, vol. 26(1), pages 118-137, March.
    15. Sabina Alkire, Selim Jahan, 2018. "The New Global MPI 2018: Aligning with the Sustainable Development Goals," OPHI Working Papers 121, Queen Elizabeth House, University of Oxford.
    16. Ambel,Alemayehu A. & Mehta,Parendi Arafin & Yigezu,Biratu & Ambel,Alemayehu A. & Mehta,Parendi Arafin & Yigezu,Biratu, 2015. "Multidimensional poverty in Ethiopia : changes in overlapping deprivations," Policy Research Working Paper Series 7417, The World Bank.
    17. Cheng Hsiao, 2007. "Rejoinder on: Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 56-57, May.
    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.
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