[1. Ahmed, A. U., Bouis, H. E. (2002). Weighing what’s practical: Proxy Means Tests for targeting food subsidies in Egypt. Food Policy, Vol. 27, No. 5-6, pp. 519-540.10.1016/S0306-9192(02)00064-7]Search in Google Scholar
[2. Bakhshoodeh, M. (2013). Proxy Means Tests for Targeting Subsidies Scheme in Iran. Iranian Journal of Economic Studies, Vol. 2, No. 2, pp. 25-46.]Search in Google Scholar
[3. Baulch, B. (2002). Poverty monitoring and targeting using ROC curves: Examples from Vietnam. Working Paper No. 161, Institute of Development Studies, University of Sussex.]Search in Google Scholar
[4. Castañeda, T. (2005). Targeting social spending to the poor with proxy means testing: Colombia’s SISBEN System. Social Protection Discussion Paper Series No. 0529. Washington DC: The World Bank.]Search in Google Scholar
[5. Cheli, B., Lemmi, A. (1995). A Totally Fuzzy and Relative Approach to the Multidimensional Analysis of Poverty. Economic Notes, Vol. 24, No. 1, pp. 115-134.]Search in Google Scholar
[6. Coady, D., Parker, S. (2009). Targeting social transfers to the poor in Mexico, IMF Working Paper WP/09/60.10.5089/9781451872071.001]Search in Google Scholar
[7. Coady, D., Skoufias, E. (2004). On the targeting and redistributive efficiencies of alternative transfer instruments, Review of Income and Wealth, Vol. 50, No. 1, pp. 11-27.10.1111/j.0034-6586.2004.00109.x]Search in Google Scholar
[8. Delalić, A., Somun Kapetanović, R., Resić. E. (2017). New multidimensional approaches to poverty measurement in Bosnia and Herzegovina. Croatian Review of Economic, Business and Social Statistics, Vol. 3, No. 1, pp. 1-15.10.1515/crebss-2017-0001]Search in Google Scholar
[9. European Commission, (2016). Minimum income schemes in Europe: A study of national policies. Brussels: European Commission]Search in Google Scholar
[10. Glewwe, P., Kanaan, O. (1989). Targeting assistance to the poor: A multivariate approach using household survey data. Policy, Planning and Research Working Paper No. 225. Washington DC: The World Bank.]Search in Google Scholar
[11. Grosh, M. (1994). Administering targeted social programs in Latin America: From platitudes to practice. World Bank Regional and Sectoral Studies, the International Bank for Reconstruction and Development / The World Bank.10.1596/0-8213-2620-1]Search in Google Scholar
[12. Grosh, M. (1994). Administering Targeted Social Programs in Latin America: From Platitudes to Practice. Washington DC: The World Bank.10.1596/0-8213-2620-1]Search in Google Scholar
[13. Grosh, M., Baker, J. (1995). Proxy Means Tests for targeting social programs: Simulations and speculations. Living Standards Measurement Survey Working Paper No. 118. Washington DC: The World Bank.10.1596/0-8213-3313-5]Search in Google Scholar
[14. Grosh, M., Glinskaya, E. (1997). Proxy means testing and social assistance in Armenia. Draft Report. Washington DC: The World Bank.]Search in Google Scholar
[15. Grosh, M., J. Baker (1995). Proxy Means Tests for Targeting Social Programs: Simulations and Speculation. Working Paper No. 118. Living Standards Measurement Study, The World Bank.10.1596/0-8213-3313-5]Search in Google Scholar
[16. Hou, X. (2008). Challenges of Targeting the Bottom Ten Per cent: Evidence from Pakistan. Mimeo (Draft). Washington DC: World Bank]Search in Google Scholar
[17. Houssou, N. (2010). Operational poverty targeting by proxy means tests, models and policy simulations for Malawi. Ph.D. Dissertation, Faculty of Agricultural Sciences, Department of Agricultural Economics and Social Sciences in the Tropics and Subtropics University of Hohenheim.]Search in Google Scholar
[18. Houssou, N., Zeller, M., Alcaraz, V., Schwarze, S., Johannsen, J. (2007). Proxy means tests for targeting the poorest households applications to Uganda. Paper Prepared for Presentation at the 106th Seminar of the EAAE, Pro-poor Development in Low Income Countries: Food, Agriculture, Trade, and Environment, 25-27 October 2007, Montpellier, France.]Search in Google Scholar
[19. IBHI Project. (2013). Non-contributory Cash Benefits for Social Protection in B&H – What Works and What Does Not (II): Targeting of non-contributory cash transfers - Theory and evidence from selected countries, June 2013.]Search in Google Scholar
[20. Johannsen, J. (2006). Operational poverty targeting in Peru – Proxy means testing with non-income indicators. International Poverty Centre Working Paper No. 30, United Nations Development Programme International Poverty Centre.]Search in Google Scholar
[21. Kidd, S. Wylde. E. (2011). Targeting the Poorest: an assessment of the proxy means test methodology. Australian Agency for International Development, Canbera, Australia.]Search in Google Scholar
[22. Narayan, A., Yoshida, N. (2005). Proxy means test for targeting welfare benefits in Sri Lanka, South Asia Poverty Reduction and Economic Management, World Bank, Washington D. C., Report No. SASPR-7.]Search in Google Scholar
[23. Ravallion, M. (1998) Poverty Comparisons. Harwood Academic Publishers, Chur.]Search in Google Scholar
[24. Schreiner, M. (2006). A simple poverty scorecard for India. Microfinance Risk Management, Center for Social development, Washington University in Saint Louis, USA.]Search in Google Scholar
[25. Sharif, I. A. (2009). Building a targeting system for Bangladesh based on proxy means testing. Discussion Paper, No. 0914, The World Bank.]Search in Google Scholar
[26. World Bank, (2007). Economics and Governance of Nongovernmental Organizations in Bangladesh, World Bank Country Study. UPL: Dhaka]Search in Google Scholar
[27. World Bank, (2005). Targeting Resources for the Poor in Bangladesh, World Bank: Dhaka.]Search in Google Scholar
[28. World Bank, (2008a). Guidance for Responses to the Rising Food and Fuel Prices, Human Development Sector, Washington DC: World Bank]Search in Google Scholar
[29. World Bank, (2008b). Bangladesh Poverty Assessment: Creating Opportunities and Bridging the East West Divide, Washington DC: World Bank]Search in Google Scholar
[30. Zeller, M., Alcaraz, V. G. (2005). Developing and testing poverty assessment tools: Results from accuracy tests in Uganda. IRIS Center, University of Maryland, College Park.]Search in Google Scholar
[31. Zeller, M., Houssou, N., Alcaraz, V. G., Johansen, J., Schwarze, S. (2006). Developing poverty assessment tool based on principal component analysis: Results from Bangladesh, Kazakhstan, Uganda, and Peru. Paper Presented at the 26th International Association of Agricultural Economists (IAAE) Conference, Gold Coast, Australia, 12–19 August 2006.]Search in Google Scholar
