The paper introduces additively decomposable inequality measures and uses the time path of these various components for the analysis of inequality in the UK.
The USAID Famine Early Warning System (FEWS) has been a strong proponent of integrated analysis of geographically referenced socioeconomic and biophysical information. This paper is a representative example of the modeling work pursued by FEWS on the basis of their comprehensive data collection efforts.
This paper reviews several earlier attempts to deal with evaluation of conditional poverty risks, and shows that most of these had been based on misspecified models.
The purpose of a theory of economic growth is to show the nature of the non-economic variables which ultimately determine the rate at which the general level of production of an economy is growing, and thereby contribute to an understanding of the question of why some societies grow faster than others. This paper presents a simple model of economic growth, illustrating that the actual rate of progress is the outcome of mutual interaction of forces which can adequately be represented only in the form of simple functional relationships (like supply or demand curves) rather than by constants.
This note proposes a new poverty decomposition that can be used to explain changes in poverty over time. The change in poverty is derived as the exact sum of four elements: (i) the overall growth effect, assuming inequality in the distribution does not change; (ii) the impact of differences in growth rates between the groups; (iii) the effect of the change in inequality within the different groups; (iv) the impact of changes in the population shares of the various groups.
