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Simulating the impact of geographic targeting on poverty alleviation in Morocco
III. Transfer Schemes
Mohammed Douidich, Abdeljouad Ezzrari and Peter Lanjouw
III. Transfer Schemes
Budget and Poverty Lines
IV. Simulation Procedures and Results
Simulating the Impact of Uniform Transfers
Simulating the Impact of “Optimal” Geographic Targeting
Table 1 presents the basic results from our simulations. There are a number of conclusions to be drawn. First, the availability of disaggregated data on poverty can help to improve on a uniform lump-sum transfer across the entire population. Targeting transfers to poor localities, in accordance with the optimization scheme outlined above, yields lower values of the national FGT2 than when the budget is transferred as a uniform lump-sum transfer to the entire population. Second, the more disaggregated t
Calculating “Equivalent Gains”
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Simulating the impact of geographic targeting on poverty alleviation in Morocco : what are the gains from disaggregation? / Mohammed Douidich; Abdeljouad Ezzrari; Peter Lanjouw
Place and Date of Creation
Washington, DC
Sept. 2008
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