Reweighting South African national household survey data to create a consistent series over time: A cross-entropy approach

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dc.contributor.author Branson, Nicola
dc.contributor.author Wittenberg, Martin
dc.date.accessioned 2014-06-04T10:35:09Z
dc.date.available 2014-06-04T10:35:09Z
dc.date.issued 2014
dc.identifier.citation Branson, N. and M. Wittenberg (2014). Reweighting South African National Household Survey Data to Create a Consistent Series Over Time: A Cross-Entropy Estimation Approach, South African Journal of Economics, Vol 82(1) pages 19–38. en_US
dc.identifier.uri http://onlinelibrary.wiley.com/doi/10.1111/saje.12017/abstract
dc.identifier.uri http://hdl.handle.net/11090/699
dc.description.abstract In the absence of established longitudinal panel surveys in South Africa, national cross-sectional household survey data are frequently used to analyse change. When these data are stacked side by side, however, inconsistencies both in time trends and between household- and person-level data are found. This study uses a new set of weights calibrated to the Actuarial Society of South Africa 2003 model projected totals using a cross-entropy estimation approach. These weights are favoured because they produce consistent demographic and geographic trends. The calculated weights are similar to the initial sample weights (and hence retain the survey design benefits) but match to a series of age-sex-race and province marginal totals that are consistent over time. The weights are publicly available for the 14-year period between 1994 and 2007. en_US
dc.language.iso en en_US
dc.publisher South African Journal of Economics en_US
dc.subject Survey data en_US
dc.subject Household survey data en_US
dc.subject Weights en_US
dc.subject Survey data weights en_US
dc.subject Cross-sectional data en_US
dc.subject Cross-entropy estimation en_US
dc.title Reweighting South African national household survey data to create a consistent series over time: A cross-entropy approach en_US
dc.type Article en_US


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