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Updating poverty estimates in the absence of regular and comparable consumption data: methods and illustration with reference to a middle-income country

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Cited by:

  1. Dang, Hai-Anh H. & Serajuddin, Umar, 2020. "Tracking the sustainable development goals: Emerging measurement challenges and further reflections," World Development, Elsevier, vol. 127(C).
  2. 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.
  3. Newhouse,David Locke & Vyas,Pallavi, 2019. "Estimating Poverty in India without Expenditure Data : A Survey-to-Survey Imputation Approach," Policy Research Working Paper Series 8878, The World Bank.
  4. 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).
  5. 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.
  6. 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.
  7. 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.
  8. Jose Cuesta & Gabriel Lara Ibarra, 2018. "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.
  9. 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.
  10. Hai-Anh H. Dang & Peter F. Lanjouw, 2018. "Poverty Dynamics in India between 2004 and 2012: Insights from Longitudinal Analysis Using Synthetic Panel Data," Economic Development and Cultural Change, University of Chicago Press, vol. 67(1), pages 131-170.
  11. 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.
  12. Dang, Hai-Anh H & Lanjouw, Peter F., 2021. "Data Scarcity and Poverty Measurement," IZA Discussion Papers 14631, Institute of Labor Economics (IZA).
  13. 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.
  14. Cuesta, Jose & Chagalj, Cristian, 2019. "Measuring poverty with administrative data in data deprived contexts: The case of Nicaragua," Economics Letters, Elsevier, vol. 183(C), pages 1-1.
  15. Federica Alfani & Fabio Clementi & Michele Fabiani & Vasco Molini & Enzo Valentini, 2023. "Once NEET, always NEET? A synthetic panel approach to analyze the Moroccan labor market," Review of Development Economics, Wiley Blackwell, vol. 27(4), pages 2401-2437, November.
  16. 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.
  17. 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).
  18. Amendola,Nicola & Belotti,Federico & Alvin Etang Ndip & Mancini,Giulia & Vecchi,Giovanni, 2025. "Poverty Dynamics in Bhutan, 2017–2022 : Evidence from Synthetic Panels," Policy Research Working Paper Series 11031, The World Bank.
  19. Shinya Takamatsu & Nobuo Yoshida & Rakesh Ramasubbaiah & Freeha Fatima, 2021. "Rapid Consumption Method and Poverty and Inequality Estimation in South Sudan Revisited," World Bank Publications - Reports 36540, The World Bank Group.
  20. World Bank, 2016. "Tunisia Poverty Assessment 2015," World Bank Publications - Reports 24410, The World Bank Group.
  21. Peter Edward & Andy Sumner, 2015. "New estimates of global poverty and inequality: How much difference do price data," Working Papers 365, ECINEQ, Society for the Study of Economic Inequality.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. Caroline Krafft & Ragui Assaad & Hanan Nazier & Racha Ramadan & Atiyeh Vahidmanesh & Sami Zouari, 2019. "Estimating poverty and inequality in the absence of consumption data: an application to the Middle East and North Africa," Middle East Development Journal, Taylor & Francis Journals, vol. 11(1), pages 1-29, January.
  29. 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.
  30. 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.
  31. 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.
  32. Eri Nakamura & Kimitaka Nishitani & Fumitoshi Mizutani, 2023. "Do Consumers Really Pay for SDGs? Re-Evaluating Consumer Behaviour Using Surveys in the USA, Germany, and Japan," CESifo Economic Studies, CESifo Group, vol. 69(3), pages 158-176.
  33. Gianni Betti & Vasco Molini & Dan Pavelesku, 2023. "Using poverty maps to improve the design of household surveys: the evidence from Tunisia," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(5), pages 1641-1657, December.
  34. 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.
  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. 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).
  37. 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.
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