1. Counting and multidimensional poverty measurement;Alkire;Journal of Public Economics,2011
2. Utilizing geospatial information to implement sdgs and monitor their progress;Avtar;Environmental Monitoring and Assessment,2020
3. Babenko, B., Hersh, J., Newhouse, D., Ramakrishnan, A., & Swartz, T. (2017). Poverty mapping using convolutional neural networks trained on high and medium resolution satellite images, with an application in mexico. arXiv preprint arXiv:1711.06323.
4. Banerjee, A.V., Deaton, A., Lustig, N., Rogoff, K., & Hsu, E. An evaluation of world bank research, 1998–2005.
5. M-quantile models for small area estimation;Chambers;Biometrika,2006