The Convergence of Labour Productivity in British and German Industries
- 1 November 1995
- journal article
- research article
- Published by Taylor & Francis in International Journal of the Economics of Business
- Vol. 2 (3) , 453-463
- https://doi.org/10.1080/758538016
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.Keywords
This publication has 17 references indexed in Scilit:
- A Contribution to the Empirics of Economic GrowthThe Quarterly Journal of Economics, 1992
- ConvergenceJournal of Political Economy, 1992
- Productivity Levels in British and German Manufacturing IndustryNational Institute Economic Review, 1992
- Economic Growth in a Cross Section of CountriesThe Quarterly Journal of Economics, 1991
- Consistent Estimation of Distributed LagsInternational Economic Review, 1963
- The Statistical Conditions for a Change in Business ConcentrationThe Review of Economics and Statistics, 1958
- The Meaning of the Fitted Cobb-Douglas FunctionThe Quarterly Journal of Economics, 1957
- The Sizes of Trade Unions: A Study in the Laws of AggregationThe Economic Journal, 1957
- Confluence Analysis by Means of Lag Moments and Other Methods of Confluence AnalysisEconometrica, 1941
- The Fitting of Straight Lines if Both Variables are Subject to ErrorThe Annals of Mathematical Statistics, 1940