Measuring Pro-poor Growth
World Bank, Development Research Group, Poverty, 2001 - Economic development - 11 pages
Ravallion and Chen provide some new tools for assessing to what extent the aggregate growth process in an economy is pro-poor. The key measurement tool is the 'growth incidence curve', which gives growth rates by quantiles (such as percentiles) ranked by income. Taking the area under this curve up to the headcount index of poverty gives a measure of the rate of pro-poor growth consistent with the Watts index for the level of poverty.
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80 90 Percentile absolute gain according to initial aggregate growth annum base date calculate the growth changes China's National Bureau contraction was distributed curve for China data for China Datoloum distribution of income economic growth growth incidence curve growth or contraction growth should satisfy headcount index household income income per capita index of poverty inequality Kraay Letting p vary level of poverty Lorenz curve mean growth rate mean income measure of pro-poor measures satisfying Measuring pro-poor growth email@example.com ordinary growth rate pattern was reversed Pen's parade percent percentile to 11 Policy Research poor poorest percentile poorest quintile population ranked poverty has fallen poverty line poverty measure poverty reduction quantile function quantile varied ranked by household ranked by income rate by quantile rate of household rate of pro-poor Ravallion and Chen Research Working Paper second-order dominance Shorrocks standard axioms transfer axioms urban and rural Watts index World Bank