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Impact Assessment of the District Poverty Initiative Project Rajasthan

Impact Assessment of the District Poverty Initiative Project Rajasthan

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analysis for measuring impacts in this study are: (i) households; (ii)<br />

interventions/projects/facilities; (iii) villages.<br />

Objectives <strong>of</strong> <strong>the</strong> Evaluation Study<br />

The main objectives are:<br />

To assess <strong>the</strong> changes in socio-economic indicators <strong>of</strong> welfare that are directly<br />

attributable to project interventions, i.e., participation in sub-project activities<br />

To examine <strong>the</strong> transmission channels through which project interventions are<br />

hypo<strong>the</strong>sized to have an impact on households (e.g., through increased in access to<br />

utilization <strong>of</strong> economic services, credit and market; improved social capital, etc.)<br />

Based on <strong>the</strong> above-expected outcomes and <strong>the</strong> analysis <strong>of</strong> impact channels, we are going to<br />

prepare <strong>the</strong> main set <strong>of</strong> impact indicators for each type <strong>of</strong> subproject. The choice <strong>of</strong> indicators<br />

is constrained by <strong>the</strong> design <strong>of</strong> <strong>the</strong> baseline survey.<br />

Methodology<br />

The design <strong>of</strong> <strong>the</strong> impact evaluation is not straightforward given <strong>the</strong> constraints imposed by<br />

<strong>the</strong> design <strong>of</strong> <strong>the</strong> baseline survey. The main constraint is that almost all villages set up as<br />

controls in <strong>the</strong> baseline survey have been already covered by <strong>the</strong> DPIP. This is because <strong>the</strong><br />

control villages were supposed to be those that would receive <strong>the</strong> intervention in <strong>the</strong> final<br />

phase <strong>of</strong> <strong>the</strong> project. Instead, <strong>the</strong>se have already received <strong>the</strong> project intervention and cannot<br />

serve as true controls. As a result, <strong>the</strong> baseline sample for each DPIP district is composed <strong>of</strong><br />

poorest and richest villages, geographically clustered in each district, depending on <strong>the</strong><br />

implementation phase. This raises an additional concern regarding <strong>the</strong> representativeness <strong>of</strong><br />

<strong>the</strong> baseline sample at district and <strong>the</strong> project levels. In addition, at <strong>the</strong> household-level, <strong>the</strong><br />

sampled households in <strong>the</strong> selected villages are not entirely comparable as <strong>the</strong>se include BPL<br />

households (in principle, eligible for <strong>the</strong> program) and APL households (not eligible for <strong>the</strong><br />

program but likely to be quite different from <strong>the</strong> BPL households in characteristics).<br />

Given <strong>the</strong>se constraints, we propose a comprehensive evaluation assesses what components<br />

have worked and what have not, <strong>the</strong> length <strong>of</strong> exposure to <strong>the</strong> program and <strong>the</strong> heterogeneity<br />

across space, using a mixed strategy <strong>of</strong> quantitative and qualitative evaluation as follows.<br />

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