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and sample selection

Sample generalisable to this group

Population in Yatiyanthota

Those found employment through intervention

Self identified under-employed

Because establishing the counter factual – that is, the likely situation in the absence of the intervention – is key to understanding impact, three counterfactual scenarios will be tracked. The first and second, try to understand the likely situation of the target households in the absence of the intervention. This is done by (i) comparing the household situation before the intervention and after (baseline, mid term and final evaluation); and (ii) asking households what activities they would have engaged in if they had not accepted work opportunities provided by the intervention. This would help to understand impact as well as ensure that the target group – those with few livelihood options – are the ones reached.

However, as this data could be biased due to a number of unknowns (such as the general development of the area etc), particularly (ii) which is based on a hypothetical situation, these two methods of constructing the counterfactual may not be fully reliable or accurate. To provide more credible and rigorous impact data, it is therefore proposed that a control group also be identified to understand the project counterfactual and isolate project impact. The control will be identified through a comparison group with similar characteristics as the target group (such as a group of villages close to the target villages), but who do not have access to a similar intervention – which would be easier than is usually the case given the innovation nature of the intervention. Data will be collected from a stratified random sample of households in the control location who will be selected in the same manner as the sample drawn from the target location. The baseline, mid term and final evaluation surveys will be administered to the control group sample, in parallel with the target group sample of households.

The variables on which data is expected to be collected will follow the SLF on which the research framework is based. The impacts of the intervention will be assessed via changes to the 4 capitals of financial, human, social and physical. Both quantitative and qualitative data will be collected and at three points in time (baseline, mid term and final). Some variables proposed to be tracked are:

Financial: changes in income, income sources, and stability of income sources, savings and debt

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