Dualism and cross-country growth regressions

Dualism and cross-country growth regressions

This paper examines whether growth regressions should incorporate dualism and structural change. If there is a differential across sectors in the marginal product of labour, changes in the structure of employment can raise aggregate total factor productivity. The paper develops empirical growth models that allow for this effect in a more flexible way than previous work. Estimates of the models ...

Model Uncertainty in Cross-country Growth Regressions

We investigate the issue of model uncertainty in cross-country growth regressions using Bayesian Model Averaging (BMA). We find that the posterior probability is very spread among many models suggesting the superiority of BMA over choosing any single model. Out-of-sample predictive results support this claim. In contrast with Levine and Renelt (1992), our results broadly support the more “optim...

Human Capital and Growth in Cross-Country Regressions

Internet Education and Economic Growth: Evidence from Cross-Country Regressions

The effects of Internet education on economic growth are examined using a cross-section of 36 high-income countries. Internet usage rates are employed as a proxy for Internet education across countries. Regression results show that the frequent usage of the Internet has a positive and significant effect on economic growth. The estimated growth effect of Internet skills is also found to be great...

Truth and Robustness in Cross-country Growth Regressions

The work of Levine and Renelt (1992) and Sala-i-Martin (1997a, b) which attempted to test the robustness of various determinants of growth rates of per capita GDP among countries using two variants of Edward Leamer’s extreme-bounds analysis is reexamined. In a realistic Monte Carlo experiment in which the universe of potential determinants is drawn from those in Levine and Renelt’s study, both ...