The more established methods for calculating inequality rely on micro data such as that obtained from labour force or household surveys (see OECD, 2011). However, this can be problematic in cross-country comparisons as noted by Galbraith and Kum (2004).27 To make such comparisons feasible, Galbraith and Kum (2004) used the Deininger and Squire (1996) dataset in conjunction with more aggregate data on industrial value added and wages to construct inter-temporal and cross-country comparable measures of inequality. This also provides a larger sample of developed and emerging economies over which wage inequality and GVC activity can be measured relative to the more established OECD inequality measures which are mostly available for OECD countries.