David Bigman|Stefan Dercon|Dominique Guillaume|Michel Lambotte
Community Targeting for Poverty Reduction in Burkina Faso
Centre for the Study of the Economies of Africa|KU Leuven|International Monetary Fund
article develops method targeting antipoverty programs public projects poor communities rural urban areas method calls constructing extensive data set large number sources integrating entire set geographic information system data set includes demographic data population census householdlevel data variety surveys communitylevel data local road infrastructure public facilities water points departmentlevel data agroclimatic conditions econometric model estimates impact household community departmentlevel variables household consumption used identify key explanatory variables determine standard living rural urban areas model applied predict poverty indicators 3871 rural urban communities burkina faso map spatial distribution poverty country simulation analysis assesses effectiveness villagelevel targeting based predictions results show targeting improvement regional targeting reduces leakage undercoverage