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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. Abanokova, Kseniya & Dang, Hai-Anh H & Lokshin, Michael, 2020. "The Important Role of Equivalence Scales: Household Size, Composition, and Poverty Dynamics in Russia," IZA Discussion Papers 13043, Institute of Labor Economics (IZA).
  2. 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.
  3. 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.
  4. Dang, Hai-Anh H. & Lanjouw, Peter F., 2020. "Welfare Dynamics in India over a Quarter Century: Poverty, Vulnerability, and Mobility during 1987-2012," GLO Discussion Paper Series 535, Global Labor Organization (GLO).
  5. François Bourguignon & A. Hector Moreno M., 2020. "On synthetic income panels," Working Papers halshs-01988068, HAL.
  6. 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.
  7. 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.
  8. Dang, Hai-Anh H & Hallegatte, Stephane & Trinh, Trong-Anh, 2023. "Does Global Warming Worsen Poverty and Inequality? An Updated Review," IZA Discussion Papers 16570, Institute of Labor Economics (IZA).
  9. 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.
  10. 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.
  11. 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.
  12. 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).
  13. Dang, Hai-Anh H. & Serajuddin, Umar, 2020. "Tracking the sustainable development goals: Emerging measurement challenges and further reflections," World Development, Elsevier, vol. 127(C).
  14. 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).
  15. 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).
  16. 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).
  17. Dang,Hai-Anh H. & Verme,Paolo, 2019. "Estimating Poverty for Refugee Populations : Can Cross-Survey Imputation Methods Substitute for Data Scarcity ?," Policy Research Working Paper Series 9076, The World Bank.
  18. 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.
  19. 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.
  20. 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).
  21. 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).
  22. Kseniya Abanokova & Hai-Anh H. Dang & Michael M. Lokshin, 2020. "The Important Role of Equivalence Scales: Household Size, Composition, and Poverty Dynamics in the Russian Federation," Working Papers 539, ECINEQ, Society for the Study of Economic Inequality.
  23. Ahmad Wali Ahmad-Yar & Tuba Bircan, 2021. "Anatomy of a Misfit: International Migration Statistics," Sustainability, MDPI, vol. 13(7), pages 1-22, April.
  24. 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).
  25. 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.
  26. Dang,Hai-Anh H. & Kilic,Talip & Carletto,Calogero & Abanokova,Kseniya, 2021. "Poverty Imputation in Contexts without Consumption Data : A Revisit with Further Refinements," Policy Research Working Paper Series 9838, The World Bank.
  27. 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.
  28. Verme, Paolo, 2023. "Predicting Poverty with Missing Incomes," GLO Discussion Paper Series 1260, Global Labor Organization (GLO).
  29. 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).
  30. Dang, Hai-Anh H & Lanjouw, Peter F., 2021. "Data Scarcity and Poverty Measurement," IZA Discussion Papers 14631, Institute of Labor Economics (IZA).
  31. 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.
  32. Hai-Anh H. Dang & Talip Kilic & Ksenia Abanokova & Gero Carletto, 2024. "Imputing Poverty Indicators without Consumption Data : An Exploratory Analysis," Policy Research Working Paper Series 10867, The World Bank.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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).
  38. 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.
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