Abstract
When a Galtonian cross-section regression model is used to analyse data on the relative labour productivity of 30 British and German manufacturing industries 1960-1989, it is found that there are strong tendencies for labour productivity in the two countries to converge. This is particularly true for 1960-73 and for 1979-89, when there was Galtonian regression towards the (geometric) mean level of relative productivity. There was no tendency for the relative advantage or disadvantage of an industry to persist over time. When an errors-in-variables model is used, it is found that reverse regression and lagged value instrumental variable estimators do not indicate that the OLS estimators in the Galtonian model are usually biased downwards and in fact confirm the direction of the Galtonian regression.

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