Browsing by Author "van der Berg, Servaas"
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Item Educational attainment and intergenerational social mobility in SA(World Bank Group, 2005) Yu, Derek; Louw, Megan; van der Berg, ServaasTo a large degree, the notoriously high levels of income inequality in\nSouth Africa have their roots in differential access to wage-earning opportunities in the labour market, which in turn are influenced by family background. This paper therefore investigates the role that parents’ education plays in children’s human capital accumulation. The study analyses patterns of educational attainment in South Africa during the period 1970-2001, asking whether intergenerational social mobility has improved. It tackles the issue in two ways, combining extensive descriptive analysis of progress in educational attainment with more a formal evaluation of intergenerational social mobility using indices constructed by Dahan and Gaviria (2001) and Behrman, Birdsall and Szekely (1998). Both types of analysis indicate that intergenerational social mobility within race groups improved over the period, with the indices suggesting that South African children are currently better able to take advantage of educational opportunities than the bulk of their peers in comparable countries. However, significant racial barriers remain in the quest to equalise educational opportunities across the board for South African children.Item A series of national accounts-consistent estimates of poverty and inequality in South Africa(Stellenbosch University, 2007) Yu, Derek; van der Berg, Servaas; Burger, RonelleThis paper makes a unique contribution to the South African literature in combining data from an alternative source of household survey data – the All Media and Product Survey (AMPS) – with national accounts income trends for this country, in the recent tradition of research on the world distribution of income performed by Bhalla (2002), Karshenas (2003), Bourguignon and Morrisson (2002), Sala-i-Martin (2002a; 2002b), and Quah (2002), amongst others. Its usefulness lies in arriving at alternative estimates of post-transition poverty and inequality that are consistent with the story that national accounts and other official data collectively tell us about the path of the South African economy during the post-transition period. While the method of scaling survey distribution data by national accounts means is somewhat controversial, it is not clear that the distributional trends obtained using the post-transition sets of either the IESs or the Population Censuses are more reliable, given serious deficiencies in both sources of data. Adjusted distributions yield lower levels of poverty and a stronger decline in poverty during the second half of the period than the figures obtained from the raw AMPS data. While the levels of poverty obtained using adjusted income distributions are artificially low, the derived downward trend is supported by a number of official data sources.