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Data gaps, data incomparability, and data imputation : a review of poverty measurement methods for data-scarce environments

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Cited by:

  1. Elisa Aracil & Elena Maria Diaz & Gonzalo Gómez-Bengoechea & Rosalía Mota & David Roch-Dupré, 2024. "Regional Socioeconomic Assessments with a Genetic Algorithm: An Application on Income Inequality Across Municipalities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 173(2), pages 499-521, June.
  2. Daniel Gerszon Mahler & Elizabeth Foster & Christoph Lakner & Zander Prinsloo & Rostand Tchouakam Mbouendeu & Samuel K. Tetteh-Baah, 2025. "Constructing Comparable Global Poverty Trends," Global Poverty Monitoring Technical Note Series 45, The World Bank.
  3. Dang, Hai-Anh H. & Serajuddin, Umar, 2020. "Tracking the sustainable development goals: Emerging measurement challenges and further reflections," World Development, Elsevier, vol. 127(C).
  4. Dang, Hai-Anh H. & Abanokova, Kseniya & Lokshin, Michael M., 2020. "Life Satisfaction, Subjective Wealth, and Adaptation to Vulnerability in the Russian Federation during 2002-2017," GLO Discussion Paper Series 492, Global Labor Organization (GLO).
  5. Salvucci, Vincenzo & Tarp, Finn, 2024. "Crises, prices, and poverty – An analysis based on the Mozambican household budget surveys 1996/97–2019/20," Food Policy, Elsevier, vol. 125(C).
  6. Peter Lanjouw & Hai-Anh Dang, 2018. "Inequality trends and dynamics in India: The bird’s-eye and the granular perspectives," WIDER Working Paper Series 189, World Institute for Development Economic Research (UNU-WIDER).
  7. Weipan Xu & Qiumeng Li & Yaofu Huang & Yu Gu & Xun Li, 2025. "Beyond surveys: high-resolution mapping of rural wealth in China using satellite and street view imagery," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-13, December.
  8. Dang,Hai-Anh H. & Pullinger,John James & Serajuddin,Umar & Stacy,Brian William, 2021. "Statistical Performance Indicators and Index : A New Tool to Measure Country Statistical Capacity," Policy Research Working Paper Series 9570, The World Bank.
  9. Dang, Hai-Anh H. & Verme, Paolo, 2019. "Estimating Poverty for Refugee Populations: Can Cross-Survey Imputation Methods Substitute for Data Scarcity?," GLO Discussion Paper Series 429, Global Labor Organization (GLO).
  10. Echevin, Damien & Fotso, Guy & Bouroubi, Yacine & Coulombe, Harold & Li, Qing, 2025. "Combining survey and census data for improved poverty prediction using semi-supervised deep learning," Journal of Development Economics, Elsevier, vol. 172(C).
  11. François Bourguignon & A. Hector Moreno M., 2020. "On synthetic income panels," Working Papers halshs-01988068, HAL.
  12. 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.
  13. Ibrahima Sarr & Hai-Anh H. Dang & Carlos Santiago Guzman Gutierrez & Theresa Beltramo & Paolo Verme, 2025. "Using Cross-Survey Imputation to Estimate Poverty for Venezuelan Refugees in Colombia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 177(1), pages 207-251, March.
  14. 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.
  15. Dang, Hai-Anh H & Carletto, Calogero, 2022. "Recall Bias Revisited: Measure Farm Labor Using Mixed-Mode Surveys and Multiple Imputation," IZA Discussion Papers 14997, Institute of Labor Economics (IZA).
  16. Mahler, Daniel Gerszon & Schoch, Marta & Lakner, Christoph & Nguyen, Minh Cong, 2025. "Predicting Income Distributions from Almost Nothing," Policy Research Working Paper Series 11034, The World Bank.
  17. Tuyen Quang Tran & Dinh Van Nguyen & Dao Van Le, 2025. "Financial Access and Transitional Economy Productivity: Is Faster Better?," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 3, pages 815-844, September.
  18. Dang, Hai-Anh H & Lanjouw, Peter F., 2021. "Data Scarcity and Poverty Measurement," IZA Discussion Papers 14631, Institute of Labor Economics (IZA).
  19. Dang,Hai-Anh H. & Lanjouw,Peter F., 2020. "Welfare Dynamics in India over a Quarter Century : Poverty, Vulnerability, and Mobility during 1987-2012," Policy Research Working Paper Series 9231, The World Bank.
  20. Zaira Najam & John Gibson, 2021. "Does within-country poverty convergence depend on spatial spillovers and the type of poverty measure? Evidence from Pakistan," Working Papers in Economics 21/07, University of Waikato.
  21. Thomas Pave Sohnesen & Peter Fisker & David Malmgren‐Hansen, 2022. "Using Satellite Data to Guide Urban Poverty Reduction," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(S2), pages 282-294, December.
  22. 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.
  23. 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.
  24. Tchuisseu Seuyong, Feraud & Edochie, Ifeanyi Nzegwu & Newhouse, David & Silwal,Ani Rudra, 2024. "Who did Covid-19 hurt the most in Sub-Saharan Africa ?," Policy Research Working Paper Series 10726, The World Bank.
  25. Kseniya Abanokova & Hai‐Anh H. Dang & Michael Lokshin, 2022. "Do Adjustments for Equivalence Scales Affect Poverty Dynamics? Evidence from the Russian Federation during 1994–2017," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(S1), pages 167-192, April.
  26. Dang, Hai-Anh H & Kilic, Talip & Abanokova, Kseniya & Carletto, Calogero, 2024. "Imputing Poverty Indicators without Consumption Data: An Exploratory Analysis," IZA Discussion Papers 17136, Institute of Labor Economics (IZA).
  27. Naseeha Islam & Pramesh Koju & Reetu Manandhar & Sudip Shrestha & Charlotte Smith, 2020. "Assessing the Impacts of Relative Wealth and Geospatial Factors on Water Access in Rural Nepal: A Community Case Study," IJERPH, MDPI, vol. 17(18), pages 1-13, September.
  28. Astrid Mathiassen & Bjørn K. Getz Wold, 2021. "Predicting poverty trends by survey-to-survey imputation: the challenge of comparability," Oxford Economic Papers, Oxford University Press, vol. 73(3), pages 1153-1174.
  29. Shohei Nakamura & Kseniya Abanokova & Hai-Anh H. Dang & Shinya Takamatsu & Chunchen Pei & Dilou Prospere, 2023. "Is Climate Change Slowing the Urban Escalator Out of Poverty? Evidence from Chile, Colombia, and Indonesia," IJERPH, MDPI, vol. 20(6), pages 1-21, March.
  30. Theresa Beltramo & Hai-Anh Dang & Ibrahima Sarr & Paolo Verme, 2024. "Estimating poverty among refugee populations: a cross-survey imputation exercise for Chad," Oxford Development Studies, Taylor & Francis Journals, vol. 52(1), pages 94-113, January.
  31. Hai‐Anh H. Dang & Stephane Hallegatte & Trong‐Anh Trinh, 2024. "Does global warming worsen poverty and inequality? An updated review," Journal of Economic Surveys, Wiley Blackwell, vol. 38(5), pages 1873-1905, December.
  32. 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.
  33. 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.
  34. Wollburg,Philip Randolph & Hallegatte,Stephane & Mahler,Daniel Gerszon, 2023. "The Climate Implications of Ending Global Poverty," Policy Research Working Paper Series 10318, The World Bank.
  35. Hai-Anh H. Dang & Kseniya Abanokova & Michael M. Lokshin, 2023. "Life Satisfaction, Subjective Wealth, and Adaptation to Vulnerability in the Russian Federation during 2002-2019," Hacienda Pública Española / Review of Public Economics, IEF, vol. 247(4), pages 125-153, December.
  36. Dang,Hai-Anh H., 2018. "To impute or not to impute ? a review of alternative poverty estimation methods in the context of unavailable consumption data," Policy Research Working Paper Series 8403, The World Bank.
  37. Hai-Anh H. Dang, 2019. "To impute or not to impute, and how? A review of alternative poverty estimation methods in the context of unavailable consumption data," Working Papers 507, ECINEQ, Society for the Study of Economic Inequality.
  38. Dang, Hai-Anh H & Raju, Dhushyanth & Tanaka, Tomomi & Abanokova, Kseniya, 2024. "Tackling the Last Hurdles of Poverty Entrenchment: An Investigation of Poverty Dynamics for Ghana during 2005/06–2016/17," IZA Discussion Papers 16738, Institute of Labor Economics (IZA).
  39. 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).
  40. Fanzo, Jessica & Haddad, Lawrence & Schneider, Kate R. & Béné, Christophe & Covic, Namukolo M. & Guarin, Alejandro & Herforth, Anna W. & Herrero, Mario & Sumaila, U. Rashid & Aburto, Nancy J. & Amuyun, 2021. "Viewpoint: Rigorous monitoring is necessary to guide food system transformation in the countdown to the 2030 global goals," Food Policy, Elsevier, vol. 104(C).
  41. Dang, Hai-Anh H & Kilic, Talip & Hlasny, Vladimir & Abanokova, Kseniya & Carletto, Calogero, 2024. "Using Survey-to-Survey Imputation to Fill Poverty Data Gaps at a Low Cost: Evidence from a Randomized Survey Experiment," IZA Discussion Papers 16792, Institute of Labor Economics (IZA).
  42. Ahmad Wali Ahmad-Yar & Tuba Bircan, 2021. "Anatomy of a Misfit: International Migration Statistics," Sustainability, MDPI, vol. 13(7), pages 1-22, April.
  43. Paolo Verme, 2025. "Predicting Poverty," Papers 2505.05958, arXiv.org.
  44. 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.
  45. Hai‐Anh H. Dang & Peter Lanjouw, 2018. "Inequality trends and dynamics in India: The bird's-eye and the granular perspectives," WIDER Working Paper Series wp-2018-189, World Institute for Development Economic Research (UNU-WIDER).
  46. Dang, Hai-Anh H. & Raju, Dhushyanth & Tanaka, Tomomi & Abanokova, Kseniya, 2024. "Poverty dynamics for Ghana during 2005/06–2016/17: an investigation using synthetic panels," LSE Research Online Documents on Economics 124105, London School of Economics and Political Science, LSE Library.
  47. Verme, Paolo, 2023. "Predicting Poverty with Missing Incomes," GLO Discussion Paper Series 1260, Global Labor Organization (GLO).
  48. Isabella S. Smythe & Joshua E. Blumenstock, 2022. "Geographic microtargeting of social assistance with high-resolution poverty maps," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(32), pages 2120025119-, August.
  49. Mahler,Daniel Gerszon & Serajuddin,Umar & Maeda,Hiroko, 2022. "When Is There Enough Data to Create a Global Statistic ?," Policy Research Working Paper Series 10034, The World Bank.
  50. John Pullinger & Hai-Anh H. Dang & Umar Serajuddin & Brian Stacy, 2021. "Statistical Performance Indicators and Index," World Bank Publications - Reports 35301, The World Bank Group.
  51. Chen, Fan & Yu, Lan & Mao, Jinqi & Yang, Qing & Wang, Delu & Yu, Chenghao, 2024. "A novel data-characteristic-driven modeling approach for imputing missing value in industrial statistics: A case study of China electricity statistics," Applied Energy, Elsevier, vol. 373(C).
  52. Fangfang Li & Hui Sun & Yu Gu & Ge Yu, 2022. "A Noise-Aware Multiple Imputation Algorithm for Missing Data," Mathematics, MDPI, vol. 11(1), pages 1-16, December.
  53. Betti, Gianni & Molini, Vasco & Mori, Lorenzo, 2024. "An attempt to correct the underestimation of inequality measures in cross-survey imputation through generalized additive models for location, scale and shape," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
  54. Zaira Najam, 2021. "The sensitivity of poverty trends to dimensionality and distribution sensitivity in poverty measures—District level analysis for Pakistan," Poverty & Public Policy, John Wiley & Sons, vol. 13(4), pages 368-411, December.
  55. Hope Michelson, 2025. "Navigating the Measurement Frontier: New Insights Into Small Farm Realities," Agricultural Economics, International Association of Agricultural Economists, vol. 56(3), pages 526-542, May.
  56. Corral Rodas, Paul Andres & Ham, Andres & Lanjouw, Peter & Lucchetti, Leonardo Ramiro & Stemmler, Henry, 2025. "Stress Testing Survey to Survey Imputation: Understanding When Poverty Predictions Can Fail," Policy Research Working Paper Series 11192, The World Bank.
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