Re-weighting South African national Household survey data to create a consistent series over time: A cross entropy estimation approach

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dc.contributor.author Branson, Nicola en_US
dc.contributor.author Wittenberg, Martin en_US
dc.date.accessioned 2012-12-03T12:07:15Z
dc.date.available 2012-12-03T12:07:15Z
dc.date.issued 2011-02 en_US
dc.identifier.uri http://hdl.handle.net/11090/63
dc.description.abstract In the absence of established longitudinal panel surveys in South African, national cross-sectional household survey data are frequently used to analyse change. When these data are stacked side-byside, 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 ASSA 2003 model totals using a cross entropy estimation approach. This approach is favoured because 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 a fourteen year period between 1994 and 2007. This is a SALDRU/DataFirst Working Paper en_US
dc.publisher Southern Africa Labour and Development Research Unit en_US
dc.subject Cross-sectional data
dc.subject Household survey data
dc.subject Cross entropy estimation
dc.subject Weights
dc.title Re-weighting South African national Household survey data to create a consistent series over time: A cross entropy estimation approach en_US


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