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Small area estimation-based prediction methods to track poverty : validation and applications

Citations

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Cited by:

  1. Talip Kilic & Thomas Pave Sohnesen, 2019. "Same Question But Different Answer: Experimental Evidence on Questionnaire Design's Impact on Poverty Measured by Proxies," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(1), pages 144-165, March.
  2. Diana K. L. Ngo & Luc Christiaensen, 2019. "The Performance Of A Consumption Augmented Asset Index In Ranking Households And Identifying The Poor," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(4), pages 804-833, December.
  3. 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.
  4. Betti,Gianni & Molini,Vasco & Mori,Lorenzo, 2022. "New Algorithm to Estimate Inequality Measures in Cross-Survey Imputation : An Attemptto Correct the Underestimation of Extreme Values," Policy Research Working Paper Series 10013, The World Bank.
  5. Alfani, Federica & Dabalen, Andrew & Fisker, Peter & Molini, Vasco, 2015. "Can we measure resilience ? a proposed method and evidence from countries in the Sahel," Policy Research Working Paper Series 7170, The World Bank.
  6. Dang, Hai-Anh H & Lanjouw, Peter F., 2021. "Data Scarcity and Poverty Measurement," IZA Discussion Papers 14631, Institute of Labor Economics (IZA).
  7. Tanida Arayavechkit & Aziz Atamanov & Karen Y. Barreto Herrera & Nadia Belhaj Hassine Belghith & R. Andres Castaneda Aguilar & Tony H. M. J. Fujs & Reno Dewina & Carolina Diaz-Bonilla & Ifeanyi N. Edo, 2021. "March 2021 PovcalNet Update: What's New," Global Poverty Monitoring Technical Note Series 15, The World Bank.
  8. World Bank, "undated". "Africa's Pulse, October 2013 : An Analysis of Issues Shaping Africa's Economic Future," World Bank Publications - Reports 20237, The World Bank Group.
  9. Li, Qing & Yu, Shuai & Échevin, Damien & Fan, Min, 2022. "Is poverty predictable with machine learning? A study of DHS data from Kyrgyzstan," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
  10. Hassine, Nadia Belhaj, 2015. "Economic Inequality in the Arab Region," World Development, Elsevier, vol. 66(C), pages 532-556.
  11. Aziza Usmanova & Ahmed Aziz & Dilshodjon Rakhmonov & Walid Osamy, 2022. "Utilities of Artificial Intelligence in Poverty Prediction: A Review," Sustainability, MDPI, vol. 14(21), pages 1-39, October.
  12. Hai-Anh H. Dang & Peter F. Lanjouw & Umar Serajuddin, 2017. "Updating poverty estimates in the absence of regular and comparable consumption data: methods and illustration with reference to a middle-income country," Oxford Economic Papers, Oxford University Press, vol. 69(4), pages 939-962.
  13. World Bank, "undated". "Africa's Pulse, April 2013 : An Analysis of Issues Shaping Africa's Economic Future," World Bank Publications - Reports 20238, The World Bank Group.
  14. Abate, Gashaw T. & de Brauw, Alan & Hirvonen, Kalle & Wolle, Abdulazize, 2023. "Measuring consumption over the phone: Evidence from a survey experiment in urban Ethiopia," Journal of Development Economics, Elsevier, vol. 161(C).
  15. Lovaton Davila, Rodrigo & McCarthy, Aine Seitz & Gondwe, Dorothy & Kirdruang, Phatta & Sharma, Uttam, 2022. "Water, walls, and bicycles: wealth index composition using census microdata," Journal of Demographic Economics, Cambridge University Press, vol. 88(1), pages 79-120, March.
  16. Hai-Anh H. Dang & Peter F. Lanjouw, 2023. "Regression-based imputation for poverty measurement in data-scarce settings," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 13, pages 141-150, Edward Elgar Publishing.
  17. Anh Thu Quang Pham & Pundarik Mukhopadhaya & Ha Vu, 2020. "Targeting Administrative Regions for Multidimensional Poverty Alleviation: A Study on Vietnam," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(1), pages 143-189, July.
  18. Hai‐Anh H. Dang, 2021. "To impute or not to impute, and how? A review of poverty‐estimation methods in the absence of consumption data," Development Policy Review, Overseas Development Institute, vol. 39(6), pages 1008-1030, November.
  19. 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.
  20. Luc Christiaensen & Ethan Ligon & Thomas Pave Sohnesen, 2022. "Consumption Subaggregates Should Not Be Used to Measure Poverty," The World Bank Economic Review, World Bank, vol. 36(2), pages 413-432.
  21. Lain,Jonathan William & Schoch,Marta & Vishwanath,Tara, 2022. "Estimating a Poverty Trend for Nigeria between 2009 and 2019," Policy Research Working Paper Series 9974, The World Bank.
  22. Pape,Utz Johann, 2021. "Measuring Poverty Rapidly Using Within-Survey Imputations," Policy Research Working Paper Series 9530, The World Bank.
  23. Javier Sierra & Victoria Muriel-Patino & Fernando Rodríguez-López, 2024. "A comprehensive framework for understanding microfinance performance evaluation methods," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
  24. Thomas Pave Sohnesen & Niels Stender, 2017. "Is Random Forest a Superior Methodology for Predicting Poverty? An Empirical Assessment," Poverty & Public Policy, John Wiley & Sons, vol. 9(1), pages 118-133, March.
  25. Shinya Takamatsu & Nobuo Yoshida & Aphichoke Kotikula, 2022. "Rapid Consumption Method and Poverty and Inequality Estimation in Somalia Revisited," Global Poverty Monitoring Technical Note Series 19, The World Bank.
  26. Ahmed, Faizuddin & Dorji, Cheku & Takamatsu, Shinya & Yoshida, Nobuo, 2014. "Hybrid survey to improve the reliability of poverty statistics in a cost-effective manner," Policy Research Working Paper Series 6909, The World Bank.
  27. Skoufias, Emmanuel & Diamond, Alexis & Vinha, Katja & Gill, Michael & Dellepiane, Miguel Rebolledo, 2020. "Estimating poverty rates in subnational populations of interest: An assessment of the Simple Poverty Scorecard," World Development, Elsevier, vol. 129(C).
  28. Floyd Mwansa, 2023. "Measuring Distribution of Wealth in Zambia Using Census Micro Data: An Application of Principal Component Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 13(3), pages 126-140, May.
  29. Jonathan Lain & Marta Schoch & Tara Vishwanath, 2024. "Making Data Count: Estimating a Poverty Trend for Nigeria between 2009 and 2019," The World Bank Economic Review, World Bank, vol. 38(3), pages 647-668.
  30. Diana Chiliquinga & Gaurav Datt, 2016. "Changing Betas or Changing X’s? Evolution of Income and Poverty in Ecuador, 2001-12," Monash Economics Working Papers 14-16, Monash University, Department of Economics.
  31. Ligon, Ethan & Christiaensen, Luc & Sohnesen, Thomas P, 2020. "Should Consumption Sub-Aggregates be Used to Measure Poverty?," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt9b9929jh, Department of Agricultural & Resource Economics, UC Berkeley.
  32. Hai‐Anh H. Dang & Talip Kilic & Kseniya Abanokova & Calogero Carletto, 2025. "Poverty Imputation in Contexts Without Consumption Data: A Revisit With Further Refinements," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 71(1), February.
  33. 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.
  34. Carlo Azzarri & Elizabeth Cross, 2016. "Improved Spatially Disaggregated Livestock Measures for Uganda," The Review of Regional Studies, Southern Regional Science Association, vol. 46(1), pages 37-73, Winter.
  35. Jarrad Farris & Catherine Larochelle & Jeffrey Alwang & George W. Norton & Caleb King, 2017. "Poverty analysis using small area estimation: an application to conservation agriculture in Uganda," Agricultural Economics, International Association of Agricultural Economists, vol. 48(6), pages 671-681, November.
  36. Hai-Anh H. Dang & Paolo Verme, 2023. "Estimating poverty for refugees in data-scarce contexts: an application of cross-survey imputation," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(2), pages 653-679, April.
  37. Hassine, Nadia Belhaj, 2014. "Economic inequality in the Arab region," Policy Research Working Paper Series 6911, The World Bank.
  38. Lisa Daniels & Nicholas Minot, 2021. "Do remote areas benefit from economic growth? Evidence from Uganda," Journal of International Development, John Wiley & Sons, Ltd., vol. 33(3), pages 545-568, April.
  39. Barriga Cabanillas,Oscar Eduardo & Chawla,Parth & Redaelli,Silvia & Yoshida,Nobuo, 2023. "Updating Poverty in Afghanistan Using the SWIFT-Plus Methodology," Policy Research Working Paper Series 10616, The World Bank.
  40. Shinya Takamatsu & Nobuo Yoshida & Rakesh Ramasubbaiah & Freeha Fatima, 2021. "Rapid Consumption Method and Poverty and Inequality Estimation in South Sudan revisited," Global Poverty Monitoring Technical Note Series 18, The World Bank.
  41. World Bank, 2015. "Tanzania Poverty Assessment," World Bank Publications - Reports 21871, The World Bank Group.
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