We use 29 OECD countries data spanning over 1960-2000 to study the growth strategy when countries are close to the technology frontier. Relying on a semi-parametric generalized additive model, we estimate labor productivity equations. We find that the number of agents enrolled in higher...

We use a general equilibrium framework to study optimal health investment in a dynamic model where agents derive utility from consumption and health. The steady state and the dynamics of the model are studied under separable and non-separable preferences. A shock undermining health which...

We use 29 OECD countries data spanning over 1960-2000 to study the growth strategy when countries are close to the technology frontier. Relying on a semi-parametric generalized additive model, we estimate labor productivity equations. We find that the number of agents enrolled in higher...

We use 29 OECD countries data spanning over 1960-2000 to study the growth strategy when countries are close to the technology frontier. Relying on a semi-parametric generalized additive model, we estimate labor productivity equations. We find that the number of agents enrolled in higher...

We use country panel data spanning over 1998-2008 for both developed and developing countries to study the productivity growth when countries are close to the technology frontier. Relying on a semi-parametric generalized additive model, we estimate both reduced and structural forms for total...

This paper examines the polarization of economic development in African economies. Based on nonparametric and bipolarization frameworks, we find that countries tend to cluster in two classes, and that bipolarization has been accelerating over the period 1966–2008. We relate the evolution of...

This paper examines the degree of polarization of GDP per capita of African economies between 1966 and 2008. Based on a nonparametric analysis, we find that countries tend to cluster in two classes of per capita GDP. Relying on the Wolfson's bipolarization measure, the results reveal that...