Measuring Income per capita Disparities across Countries Using a Panel Data Approach

Rok, strany: 2004, 801 - 819

This paper empirically looks at the conditional convergence debate by focussing on the impact of the debt crisis on disparities in income per capita across countries and over time. Using the recent Penn World Table’s database, version 6.1 (PWT 6.1), the results seem to suggest that countries have experienced conditional convergence in income per capita, hence poorer countries growing faster than richer ones, controlling for the longrun determinants of growth. The results also suggest that once we control for decadespecific and country-specific factors and the traditional variables that always appear in the augmented Solow growth framework, the regressions generate more plausible and robust results. Moreover, the regression results seem to suggest that there is a conditional convergence across heavily indebted poor countries (HIPCs), which may mean convergence towards a poverty trap rather than a standard steady state.

ISO 690:

Workie Tiruneh, M. 2004. Measuring Income per capita Disparities across Countries Using a Panel Data Approach. In Ekonomický časopis/Journal of Economics, vol. 52, no.7, pp. 801-819. 0013-3035.

APA:

Workie Tiruneh, M. (2004). Measuring Income per capita Disparities across Countries Using a Panel Data Approach. Ekonomický časopis/Journal of Economics, 52(7), 801-819. 0013-3035.