A model based approach for predicting annual poverty rates without expenditure data
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References listed on IDEAS
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- World Bank, 2016. "Tunisia Poverty Assessment 2015," World Bank Other Operational Studies 24410, The World Bank.
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- Dang, Hai-Anh H. & Lanjouw, Peter F. & Serajuddin, Umar, 2014. "Updating poverty estimates at frequent intervals in the absence of consumption data : methods and illustration with reference to a middle-income country," Policy Research Working Paper Series 7043, The World Bank.
- Ragui Assaad & Caroline Krafft & Hanan Nazier & Racha Ramadan & Atiyeh Vahidmanesh & Sami Zouari, 2017. "Estimating Poverty and Inequality in the Absence of Consumption Data: An Application to the Middle East and North Africa," Working Papers 1100, Economic Research Forum, revised 05 2017.
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More about this item
KeywordsStochastic model; Poverty measurement; Money metric poverty; Survey methods; C31; C42; C81; D12; D31; I32;
- 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
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