Abstract

Feder formulated the first model with an explicit mechanism connecting international trade and economic growth. We present new econometric estimates of this unique model for 30 developing countries studied by Feder. We replicate Feder's 1964 – 73 cross-section estimates for 1974 – 83 and 1984 – 93 and find that the export variables lose significance and that the model has less explanatory power overall. We also try to improve on time-series estimates by Ram and find that the coefficient of Feder's total factor productivity differential in favour of the export sector was positive and significant for 18 of the 30 countries. The export externality coefficient proved to be positive and significant in 13 countries although significant multicollinearity occurs in the regressions for eight of the 13. Comparisons of the results among countries suggest that the impact of exports on growth depends on population size, trade orientation, and the importance of manufacturing.

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