Predicting Consumption Poverty using Non-Consumption Indicators: Experiments using Indonesian Data
Download full text from publisher
As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.
Other versions of this item:
- 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
- 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.
- 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.
- 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.
- 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.
- Sami Bibi, 2004. "Comparing Multidimensional Poverty between Egypt and Tunisia," Cahiers de recherche 0416, CIRPEE.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- 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.
- 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
StatisticsAccess and download statistics
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:soinre:v:81:y:2007:i:3:p:543-578. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: http://www.springer.com .
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.