Predicting Consumption Poverty using Non-Consumption Indicators: Experiments using Indonesian Data
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- Sudarno Sumarto & Daniel Suryadarma & Asep Suryahadi, 2006. "Predicting Consumption Poverty Using Non-consumption Indicators : Experiments Using Indonesian Data," Development Economics Working Papers 22542, East Asian Bureau of Economic Research.
References listed on IDEAS
- Geda, A. & de Jong, N. & Mwabu, G. & Kimenyi, M.S., 2001.
"Determinants of poverty in Kenya : a household level analysis,"
ISS Working Papers - General Series
19095, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
- Alemayehu Geda & Niek de Jong & Mwangi S. Kimenyi & Germano Mwabu, 2005. "Determinants of Poverty in Kenya: A Household Level Analysis," Working papers 2005-44, University of Connecticut, Department of Economics.
- Costa, Michele, 2003. "A comparison between unidimensional and multidimensional approaches to the measurement of poverty," IRISS Working Paper Series 2003-02, IRISS at CEPS/INSTEAD.
- Pradhan, Menno, et al, 2001. "Eating Like Which "Joneses?" An Iterative Solution to the Choice of a Poverty Line "Reference Group."," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 47(4), pages 473-487, December.
- Pritchett, Lant & Suryahadi, Asep & Sumarto, Sudarno, 2000. "Quantifying vulnerability to poverty - a proposed measure, applied to Indonesia," Policy Research Working Paper Series 2437, The World Bank.
- Kai-yuen Tsui, 2002. "Multidimensional poverty indices," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 19(1), pages 69-93.
- Costa, Michele, 2002. "A multidimensional approach to the measurement of poverty," IRISS Working Paper Series 2002-05, IRISS at CEPS/INSTEAD.
- Asep Suryahadi & Sudarno Sumarto, 2003. "Poverty and Vulnerability in Indonesia Before and After the Economic Crisis," Asian Economic Journal, East Asian Economic Association, vol. 17(1), pages 45-64, March.
- Sami Bibi, 2004. "Comparing Multidimensional Poverty between Egypt and Tunisia," Cahiers de recherche 0416, CIRPEE.
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- Andy Sumner & Peter Edward, 2013. "From Low Income, High Poverty to High-Income, No Poverty? An Optimistic View of the Long-Run Evolution of Poverty in Indonesia By International Poverty Lines, 1984–2030," Working Papers in Economics and Development Studies (WoPEDS) 201310, Department of Economics, Padjadjaran University, revised Jun 2013.
- Deressa, Temesgen & Hassan, Rashid M. & Ringler, Claudia, 2008. "Measuring Ethiopian farmers' vulnerability to climate change across regional states:," IFPRI discussion papers 806, International Food Policy Research Institute (IFPRI).
- Baris Ucar, 2015. "The Usability of Asset Index as an Indicator of Household Economic Status in Turkey: Comparison with Expenditure and Income Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 121(3), pages 745-760, April.
- repec:eee:ijrema:v:30:y:2013:i:1:p:4-18 is not listed on IDEAS
- Adama BAH, 2013. "Finding the Best Indicators to Identify the Poor," Working Papers 201324, CERDI.
- Gemini Mtei & Josephine Borghi & Kara Hanson, 2015. "Predicting Consumption Expenditure for the Analysis of Health Care Financing Equity in Low Income Countries: a Comparison of Approaches," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 124(2), pages 339-355, November.
- Bah, Adama & Bazzi, Samuel & Sumarto, Sudarno & Tobias, Julia, 2014.
"Finding the Poor vs. Measuring Their Poverty: Exploring the Drivers of Targeting Effectiveness in Indonesia,"
59759, University Library of Munich, Germany.
- Bah,Adama Bari & Bazzi,Samuel Ali & Sumarto,Sudarno & Tobias,Julia, 2018. "Finding the poor vs. measuring their poverty : exploring the drivers of targeting effectiveness in Indonesia," Policy Research Working Paper Series 8342, The World Bank.
- Pave Sohnesen,Thomas & Stender,Niels, 2016. "Is random forest a superior methodology for predicting poverty ? an empirical assessment," Policy Research Working Paper Series 7612, The World Bank.
More about this item
Keywordsconsumption; data; expenditure; Indonesia; predictor; poverty;
- I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
- I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
- E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
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