Estimating Local Prevalence of Mental Health Problems
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References listed on IDEAS
- Harold Alderman & Miriam Babita & Gabriel Demombynes & Nthabiseng Makhatha & Berk Özler, 2002. "How Low Can You Go? Combining Census and Survey Data for Mapping Poverty in South Africa," Journal of African Economies, Centre for the Study of African Economies (CSAE), vol. 11(2), pages 169-200, June.
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"Smooth unbiased multivariate probability simulators for maximum likelihood estimation of limited dependent variable models,"
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- Alessandro Tarozzi & Angus Deaton, 2009. "Using Census and Survey Data to Estimate Poverty and Inequality for Small Areas," The Review of Economics and Statistics, MIT Press, vol. 91(4), pages 773-792, November.
- Elbers, Chris & Fujii, Tomoki & Lanjouw, Peter & Ozler, Berk & Yin, Wesley, 2007.
"Poverty alleviation through geographic targeting: How much does disaggregation help?,"
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- Elbers, Chris & Tomoki Fujii & Lanjouw, Peter & Ozler, Berk & Yin, Wesley, 2004. "Poverty alleviation through geographic targeting : how much does disaggregation help?," Policy Research Working Paper Series 3419, The World Bank.
- repec:aph:ajpbhl:2002:92:1:92-98_5 is not listed on IDEAS
More about this item
Keywordsmental health prevalence; local area estimation;
- I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
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