A model based approach for predicting annual poverty rates without expenditure data
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Bibliographic InfoArticle provided by Springer in its journal The Journal of Economic Inequality.
Volume (Year): 7 (2009)
Issue (Month): 2 (June)
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Web page: http://springerlink.metapress.com/link.asp?id=111137
Stochastic model; Poverty measurement; Money metric poverty; Survey methods; C31; C42; C81; D12; D31; I32;
Find related papers by JEL classification:
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
- I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Ravallion, M., 1992. "Poverty Comparisons - A Guide to Concepts and Methods," Papers 88, World Bank - Living Standards Measurement.
- Minot, Nicholas, 2004.
"Are Poor, Remote Areas Left Behind In Agricultural Development: The Case Of Tanzania,"
2004 Annual meeting, August 1-4, Denver, CO
20188, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Nicholas Minot, 2008. "Are Poor, Remote Areas Left behind in Agricultural Development: The Case of Tanzania," Journal of African Economies, Centre for the Study of African Economies (CSAE), vol. 17(2), pages 239-276, March.
- Chris Elbers & Jean O. Lanjouw & Peter Lanjouw, 2003. "Micro--Level Estimation of Poverty and Inequality," Econometrica, Econometric Society, vol. 71(1), pages 355-364, January.
- Ravallion, M., 1998. "Poverty Lines in Theory and Practice," Papers 133, World Bank - Living Standards Measurement.
- Hentschel, Jesko, et al, 2000. "Combining Census and Survey Data to Trace the Spatial Dimensions of Poverty: A Case Study of Ecuador," World Bank Economic Review, World Bank Group, vol. 14(1), pages 147-65, January.
- Fofack, Hippolyte, 2000. "Combining Light Monitoring Surveys with Integrated Surveys to Improve Targeting for Poverty Reduction: The Case of Ghana," World Bank Economic Review, World Bank Group, vol. 14(1), pages 195-219, January.
- Alessandro Tarozzi, 2004.
"Calculating Comparable Statistics from Incomparable Surveys, with an Application to Poverty in India,"
Econometric Society 2004 North American Winter Meetings
280, Econometric Society.
- Tarozzi, Alessandro, 2007. "Calculating Comparable Statistics From Incomparable Surveys, With an Application to Poverty in India," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 314-336, July.
- Luc Christiaensen & Peter Lanjouw & Jill Luoto & David Stifel, 2012.
"Small area estimation-based prediction methods to track poverty: validation and applications,"
Journal of Economic Inequality,
Springer, vol. 10(2), pages 267-297, June.
- Christiaensen, Luc & Lanjouw, Peter & Luoto, Jill & Stifel, David, 2011. "Small area estimation-based prediction methods to track poverty : validation and applications," Policy Research Working Paper Series 5683, The World Bank.
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