How Low Can You Go? Combining Census and Survey Data for Mapping Poverty in South Africa

By H. Alderman, Miriam Babita, Gabriel Demombynes, Nthabiseng Makhatha, Berk Özler. 2002

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Using Census and Survey Data to Estimate Poverty and Inequality for Small Areas (2009, background): “The very large standard errors that may arise from the use of such conservative estimates may be one reason that their use appears to have been ignored in poverty mapping (see, e.g., Mistiaen et al., 2002; Alderman et al., 2003; Elbers et al., 2004, 2007; Demombynes & Ozler, 2005).”
Income inequality and violent crime : evidence from Mexico's drug war (2014, unknown): “Empirical evidence based on this method has proven to be precise if applied to data from nations such as Brazil, Ecuador, Madagascar, Nicaragua, Panama, and South Africa (Alderman et al. 2002; Elbers, Lanjouw, and Lanjouw 2003; Ferreira et al. 2001).”
Micro-Level Estimation of Welfare (2002, methodology): “For example, inequality (or poverty) limits the size of markets which slows growth when there are scale economies (Murphy, Shleifer and Vishny, 1989); with imperfect capital markets, greater inequality limits those able to make productive investment and occupational choices (Galor and Zeira, 1993; B”
Where Are the Poor?: Experiences with the Development and Use of Poverty Maps (2002, methodology): “However, the use of these data raised concerns, as the South African census, unlike most income surveys, did not use a detailed module, but rather relied on one brief question on income (Alderman et al. 2001).”