Download Measuring the effects of geographic targeting on poverty by Judy L. Baker PDF

By Judy L. Baker

Show description

Read Online or Download Measuring the effects of geographic targeting on poverty reduction PDF

Best social policy books

Macroeconomic Consequences of Demographic Change: Modeling Issues and Applications

This publication provides a brand new computational method of fixing large-scale Auerbach-Kotlikoff Overlapping Generations (OLG) versions in a complementarity structure. in contrast to with built-in resolution tools, the proposed decomposition set of rules allows the answer of multi-regional and multi-sectoral OLG types that express quite a few heterogeneous shoppers and quite a few household-specific results.

The Necessity of Social Control

As John Bellamy Foster writes in his foreword to the current publication, “István Mészáros is without doubt one of the maximum philosophers that the ancient materialist culture has but produced. His paintings stands virtually on my own at the present time within the intensity of its research of Marx’s conception of alienation, the structural hindrance of capital, the dying of Soviet-style post-revolutionary societies, and the required stipulations of the transition to socialism.

Concepts and Causes in the Philosophy of Disease

This ebook examines a couple of vital debates within the philosophy of drugs, together with 'what is disorder? ', and the jobs and viability of ideas of causation, in scientific medication and epidemiology.

Extra resources for Measuring the effects of geographic targeting on poverty reduction

Example text

The algorithm, designed by Ravallion and Chao (1989) minimizes poverty as characterized by the FGT a=2 measure, subject to a budget constraint, by calculating the optimal transfer to mutually exclusive sub-groups. The budget constraint can be set so that all transfers are positive, or so that some are negative implying that some groups will be taxed. In this simulation, which we have called the poverty minimization technique, regions have been used as the sub-groups and the transfer constraint set so that all transfers are positive.

Geographic targeting reduces poverty more than a uniform transfer, but much less than the ideal of "perfect" targeting. With the uniform transfer, the fixed budget allows a transfer of only Bs 50 per person. 0. The same budget would extend to give each poor person Bs 167 under perfect targeting. 26, a decrease of 54 percent from its initial level. Significance tests for the FGT a=0,1,2 measures following each transfer scheme indicate that all methods are found to be significantly different than no targeting, and perfect targeting.

This loss reflects the fact that the composite index does not measure the depth of poverty. As we saw in Table 5, a uniform transfer actually reduces poverty more than geographic targeting based on the composite index ranking when measured by the FGT a=2 index. e. residents in all participating states got the same level of benefit. This is not strictly necessary program benefits can vary by state. In order to see how much difference that makes, the simulation has been performed with the same budget as the other simulations, but allowing for different transfer levels in each state.

Download PDF sample

Rated 4.31 of 5 – based on 10 votes