Spatial differences in poverty: The case of Peru

This paper examines the implications of spatial differences in living costs for measures of poverty. Taking Peru as a case study, spatial price indices are used to calculate location-specific poverty lines, based on the local cost of a basket of basic needs. Applied to income distribution data, these poverty lines yield measures of the extent and location of poverty. The paper shows that these measures are significantly different from, and much more accurate than those obtained using a single countrywide poverty line; the latter can give a misleading picture of poverty by over- stating spatial differences, in general overestimating rural and underestimating urban poverty.