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Using Census and Survey Data to Estimate Poverty and Inequality for Small Areas

Citations

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Cited by:

  1. Mohamed Amara & Mohamed Ayadi & Hatem Jemmali, 2019. "Rural–urban migration and income disparity in Tunisia: A decomposition analysis," Papers in Regional Science, Wiley Blackwell, vol. 98(2), pages 1053-1083, April.
  2. Esteban Fernandez-Vazquez & Alberto Diaz Dapena & Fernando Rubiera-Morollon & Ana Viñuela, 2020. "Spatial Disaggregation of Social Indicators: An Info-Metrics Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(2), pages 809-821, November.
  3. Betti, Gianni & Crescenzi, Federico & Dang, Hai-Anh & Molini, Vasco & Mori, Lorenzo, 2025. "Reconstructing Two Decades of Inequality in the Sahel Region," GLO Discussion Paper Series 1695, Global Labor Organization (GLO).
  4. Nguyen Viet Cuong, 2009. "Updating Poverty Maps without Panel Data: Evidence from Vietnam," Asian Economic Journal, East Asian Economic Association, vol. 23(4), pages 397-418, December.
  5. 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.
  6. Jesse Naidoo, 2009. "Finite-Sample Bias and Inconsistency in the Estimation of Poverty Maps," SALDRU Working Papers 36, Southern Africa Labour and Development Research Unit, University of Cape Town.
  7. Joseph Marchand, 2015. "The distributional impacts of an energy boom in Western Canada," Canadian Journal of Economics, Canadian Economics Association, vol. 48(2), pages 714-735, May.
  8. 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.
  9. Jing Dai & Stefan Sperlich & Walter Zucchini, 2011. "Estimating and Predicting Household Expenditures and Income Distributions," MAGKS Papers on Economics 201147, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  10. Channing Arndt & Azhar M. Hussain & Vincenzo Salvucci & Finn Tarp & Lars Peter Østerdal, 2016. "Poverty Mapping Based on First‐Order Dominance with an Example from Mozambique," Journal of International Development, John Wiley & Sons, Ltd., vol. 28(1), pages 3-21, January.
  11. Gianni Betti & Ruzhdie Bici & Laura Neri & Thomas Pave Sohnesen & Ledia Thomo, 2018. "Local Poverty and Inequality in Albania," Eastern European Economics, Taylor & Francis Journals, vol. 56(3), pages 223-245, May.
  12. Alberto Díaz Dapena & Esteban Fernández Vázquez & Fernando Rubiera Morollón & Ana Viñuela, 2021. "Mapping poverty at the local level in Europe: A consistent spatial disaggregation of the AROPE indicator for France, Spain, Portugal and the United Kingdom," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(1), pages 63-81, February.
  13. Thomas Pave Sohnesen & Alemayehu Azeze Ambel & Peter Fisker & Colin Andrews & Qaiser Khan, 2017. "Small area estimation of child undernutrition in Ethiopian woredas," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-17, April.
  14. 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.
  15. 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.
  16. Bryan S. Graham & Cristine Campos de Xavier Pinto & Daniel Egel, 2016. "Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST)," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 288-301, April.
  17. Maria Plotnikova, 2020. "Explaining Spatial Patterns Of Incapacity Benefit Claimant Rolls," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 14(2), pages 35-48, DECEMBER.
  18. van der Weide, Roy & Blankespoor, Brian & Elbers, Chris & Lanjouw, Peter, 2024. "How accurate is a poverty map based on remote sensing data? An application to Malawi," Journal of Development Economics, Elsevier, vol. 171(C).
  19. Permanyer, Iñaki, 2013. "Using Census Data to Explore the Spatial Distribution of Human Development," World Development, Elsevier, vol. 46(C), pages 1-13.
  20. Fiorella Benedetti & Pablo Ibarrarán & Patrick J. McEwan, 2016. "Do Education and Health Conditions Matter in a Large Cash Transfer? Evidence from a Honduran Experiment," Economic Development and Cultural Change, University of Chicago Press, vol. 64(4), pages 759-793.
  21. Masaki,Takaaki & Newhouse,David Locke & Silwal,Ani Rudra & Bedada,Adane & Engstrom,Ryan, 2020. "Small Area Estimation of Non-Monetary Poverty with Geospatial Data," Policy Research Working Paper Series 9383, The World Bank.
  22. Nguyen, Cuong & Tran Ngoc, Truong & Van der Weide, Roy, 2009. "Rural Poverty and Inequality Maps in Vietnam: Estimation using Vietnam Household Living Standard Survey 2006 and Rural Agriculture and Fishery Census 2006," MPRA Paper 36378, University Library of Munich, Germany.
  23. Paolo Veneri & Andre Comandon & Miquel‐Àngel Garcia‐López & Michiel N. Daams, 2021. "What do divided cities have in common? An international comparison of income segregation," Journal of Regional Science, Wiley Blackwell, vol. 61(1), pages 162-188, January.
  24. Luc Christiaensen & Peter Lanjouw & Jill Luoto & David Stifel, 2012. "Small area estimation-based prediction methods to track poverty: validation and applications," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 10(2), pages 267-297, June.
  25. Paolo Verme, 2025. "Predicting Poverty," The World Bank Economic Review, World Bank, vol. 39(4), pages 1039-1064.
  26. Esther Delesalle, 2019. "The Effect of the Universal Primary Education Program on Labor Market Outcomes: Evidence from Tanzania," LIDAM Discussion Papers IRES 2019010, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
  27. Elbers,Chris & Roy Van der Weide, 2025. "Non-Normal Empirical Bayes Prediction of Local Welfare," Policy Research Working Paper Series 11107, The World Bank.
  28. Dhiraj Sharma & Tara Vishwanath & Brian Blankespoor & Nandini Krishnan, 2015. "Where are Iraq’s Poor?," World Bank Publications - Reports 22351, The World Bank Group.
  29. Nguyen Viet, Cuong, 2011. "Poverty projection using a small area estimation method: Evidence from Vietnam," Journal of Comparative Economics, Elsevier, vol. 39(3), pages 368-382, September.
  30. Matthieu Clément & Lucie Piaser, 2022. "Geography of Income and Education Inequalities in Mexico: Evidence from Small Area Estimation and Exploratory Spatial Analysis," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(2), pages 703-732, April.
  31. Cartone, Alfredo & Díaz-Dapena, Alberto & Langarita, Raquel & Rubiera-Morollón, Fernando, 2021. "Where the city lights shine? Measuring the effect of sprawl on electricity consumption in Spain," Land Use Policy, Elsevier, vol. 105(C).
  32. Simon Lange & Utz Johann Pape & Peter Pütz, 2022. "Small Area Estimation of Poverty Under Structural Change," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(S2), pages 264-281, December.
  33. 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.
  34. 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).
  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. Niall Farrell, 2024. "Small Area Poverty Estimation by Conditional Monte Carlo," Papers WP773, Economic and Social Research Institute (ESRI).
  37. Sumonkanti Das & Ray Chambers, 2017. "Robust mean‐squared error estimation for poverty estimates based on the method of Elbers, Lanjouw and Lanjouw," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(4), pages 1137-1161, October.
  38. Verme, Paolo, 2023. "Predicting Poverty with Missing Incomes," GLO Discussion Paper Series 1260, Global Labor Organization (GLO).
  39. Channing Arndt & Azhar M. Hussain & Vincenzo Salvucci & Finn Tarp & Lars Peter Østerdal, 2016. "Poverty Mapping Based on First‐Order Dominance with an Example from Mozambique," Journal of International Development, John Wiley & Sons, Ltd., vol. 28(1), pages 3-21, January.
  40. José Lombardía, María & Sperlich, Stefan, 2012. "A new class of semi-mixed effects models and its application in small area estimation," Computational Statistics & Data Analysis, Elsevier, vol. 56(10), pages 2903-2917.
  41. World Bank, 2014. "Seeing is Believing : Poverty in the Palestinian Territories," World Bank Publications - Reports 17836, The World Bank Group.
  42. Corral Rodas,Paul Andres & Kastelic,Kristen Himelein & Mcgee,Kevin Robert & Molina,Isabel, 2021. "A Map of the Poor or a Poor Map ?," Policy Research Working Paper Series 9620, The World Bank.
  43. 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.
  44. David Newhouse & Anusha Ramakrishnan & Tom Swartz & Josh Merfeld & Partha Lahiri, 2025. "Small Area Estimation of Monetary Poverty in Mexico Using Satellite Imagery and Machine Learning," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 87(6), pages 1158-1172, December.
  45. Dang, Hai-Anh H & Lanjouw, Peter F., 2021. "Data Scarcity and Poverty Measurement," IZA Discussion Papers 14631, IZA Network @ LISER.
  46. Lang, Corey & Barrett, Christopher B. & Naschold, Felix, 2013. "Targeting Maps: An Asset-Based Approach to Geographic Targeting," World Development, Elsevier, vol. 41(C), pages 232-244.
  47. Stefanos G. Giakoumatos & Malapani Eleni, 2017. "Poverty in Greece using Small Area Estimation Methods," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 6(3), pages 1-3.
  48. Jing Dai & Stefan Sperlich & Walter Zucchini, 2016. "A Simple Method for Predicting Distributions by Means of Covariates with Examples from Poverty and Health Economics," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 152(I), pages 49-80, March.
  49. World Bank, 2022. "The Concept and Empirical Evidence of SWIFT Methodology," World Bank Publications - Reports 38095, The World Bank Group.
  50. Pave Sohnesen,Thomas & Ambel,Alemayehu A. & Fisker,Peter Simonsen & Andrews,Colin & Khan,Qaiser M., 2016. "Small area estimation of child malnutrition in Ethiopian woredas," Policy Research Working Paper Series 7581, The World Bank.
  51. Imam, M. F. & Islam, Mohammad Amirul & Alam, M. A. & Hossain, M. Jamal. & Das, Sumonkanti, . "Small Area Estimation Of Poverty In Rural Bangladesh," Bangladesh Journal of Agricultural Economics, Bangladesh Agricultural University, vol. 40(01&2).
  52. Diana Gutiérrez‐Posada & María Plotnikova & Fernando Rubiera‐Morollón, 2021. "“The grass is greener on the other side”: The relationship between the Brexit referendum results and spatial inequalities at the local level," Papers in Regional Science, Wiley Blackwell, vol. 100(6), pages 1481-1500, December.
  53. 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.
  54. Meera Mahadevan & Nobuo Yoshida & Larisa Praslova, 2013. "Kyrgyz Republic - Poverty Mapping : Methodology and Key Findings," World Bank Publications - Reports 16548, The World Bank Group.
  55. Paul Corral & Kristen Himelein & Kevin McGee & Isabel Molina, 2021. "A Map of the Poor or a Poor Map?," Mathematics, MDPI, vol. 9(21), pages 1-40, November.
  56. Mónica Navarrete & Patricio Aroca & Jorge Bernal, 2017. "Matching espacial para georreferenciar datos de encuestas de hogar," Estudios de Economia, University of Chile, Department of Economics, vol. 44(1 Year 20), pages 53-80, June.
  57. Niall Farrell & Stefano Ceolotto, 2024. "Keeping our heads above water: Spatially heterogeneous social vulnerabilities and climate adaptation," Papers WP771, Economic and Social Research Institute (ESRI).
  58. 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.
  59. Tarozzi, Alessandro, 2011. "Can census data alone signal heterogeneity in the estimation of poverty maps?," Journal of Development Economics, Elsevier, vol. 95(2), pages 170-185, July.
  60. Matěj Bajgar & Petr Janský & Klára Kalíšková, 2019. "The poor outside the lamplight: on the prevalence of poverty among population groups not included in household surveys," Post-Communist Economies, Taylor & Francis Journals, vol. 31(2), pages 181-199, March.
  61. Fabrizi, Enrico & Trivisano, Carlo, 2016. "Small area estimation of the Gini concentration coefficient," Computational Statistics & Data Analysis, Elsevier, vol. 99(C), pages 223-234.
  62. Francesca Ballini & Gianni Betti & Samuel Carrette & Laura Neri, 2009. "Poverty and inequality mapping in the Commonwealth of Dominica," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 0(Special i), pages 123-162.
  63. Channing Arndt & Azhar Hussain & Vincenzo Salvucci & Finn Tarp & Lars Peter Østerdal, 2013. "Advancing Small Area Estimation," WIDER Working Paper Series wp-2013-053, World Institute for Development Economic Research (UNU-WIDER).
  64. 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).
  65. Enrico Fabrizi & Maria Rosaria Ferrante & Carlo Trivisano, 2020. "A functional approach to small area estimation of the relative median poverty gap," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 1273-1291, June.
  66. 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.
  67. Steven Stern, 2011. "Estimating Local Prevalence of Mental Health Problems," Virginia Economics Online Papers 396, University of Virginia, Department of Economics.
  68. Arndt, Channing & Salvucci, Vincenzo & Tarp, Finn & Østerdal, Lars Peter & Hussain, M. Azhar, 2013. "Advancing Small Area Estimation," WIDER Working Paper Series 053, World Institute for Development Economic Research (UNU-WIDER).
  69. Echevin, Damien, 2011. "Vulnerability and livelihoods before and after the Haiti earthquake," Policy Research Working Paper Series 5850, The World Bank.
  70. Galiani, Sebastian & McEwan, Patrick J., 2013. "The heterogeneous impact of conditional cash transfers," Journal of Public Economics, Elsevier, vol. 103(C), pages 85-96.
  71. 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.
  72. Bryan S. Graham & Cristine Campos De Xavier Pinto & Daniel Egel, 2012. "Inverse Probability Tilting for Moment Condition Models with Missing Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1053-1079.
  73. Fanni Kovesdi & Sabina Alkire, 2026. "Measuring Multidimensional Poverty: A Rigorously Documented Global Data Gap," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 182(1), pages 1-35, March.
  74. 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.
  75. Maria Plotnikova, 2020. "Explaining Spatial Patterns Of Incapacity Benefit Claimant Rolls," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 14(2), pages 35-47, DECEMBER.
  76. Molina, Isabel & Rao, J.N.K., 2009. "Small area estimation on poverty indicators," DES - Working Papers. Statistics and Econometrics. WS ws091505, Universidad Carlos III de Madrid. Departamento de Estadística.
  77. Aldo Gardini & Enrico Fabrizi & Carlo Trivisano, 2022. "Poverty and inequality mapping based on a unit‐level log‐normal mixture model," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 2073-2096, October.
  78. Delesalle, Esther, 2021. "The effect of the Universal Primary Education program on consumption and on the employment sector: Evidence from Tanzania," World Development, Elsevier, vol. 142(C).
  79. Ana Flavia Machado & Rafael Perez Ribas, 2010. "Do Changes in the Labour Market Take Families Out of Poverty? Determinants of Exiting Poverty in Brazilian Metropolitan Regions," Journal of Development Studies, Taylor & Francis Journals, vol. 46(9), pages 1503-1522.
  80. Dang, Hai-Anh H & Nguyen, Cuong Viet, 2025. "Employing Data Imputation to Track Poverty and Welfare Trends over Extended Time Periods: An Application to a Poorer Country," IZA Discussion Papers 18236, IZA Network @ LISER.
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