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This evaluation examines whether the Philippines government’s Sustainable Livelihood Program is more effective through better sorting of beneficiaries into appropriate tracks.
The Philippines government is developing a graduation program called the Sustainable Livelihood Program (SLP) for the beneficiaries of Pantawid – the Philippine Conditional Cash Transfer Program. The SLP has two components, (a) the micro-enterprise development (ME) track, and (b) the employment facilitation (EF) track.
This evaluation will assess whether the SLP programs are more effective through better sorting of beneficiaries into the ME and EF tracks and using the Public Employment Service Office (PESO) for employment facilitation of Pantawid beneficiaries.
There is often no clear sorting mechanism for identifying which participants have a better chance of succeeding under the ME and EF tracks. There is also no direct evidence that employment facilitation would be better than micro-enterprise development in terms of household outcomes of the poor.
A recently completed process evaluation of the ME track shows that repayment rate for ME under SLP is 54.5 per cent. The hypothesis is that the sorting mechanism may result in better outcomes through lower failure rates in ME track and better facilitation in the EF track.
(a) Do characteristics-based sorting schemes improve the chances of success in the ME and EF tracks of SLP?
(b) Does employment facilitation through the PESO, and using work history in employment programmes of National Government Agencies and cooperating private firms improve the chances of securing sustainable employment in the private sector?
This is a clustered randomised controled trial that has two evaluation components. The first evaluation will randomly assign municipalities into two proposed client sorting mechanisms and control areas. The second evaluation will randomly assign clients in the employment track into three treatment arms – the PESO, the work history and the current most promising alternative. Qualitative methods, such as key informant interviews with prospective employers, will also be employed.
The primary outcomes of interest are employment variables and proportion of household income from employment. To capture seasonal fluctuations, data generation on employment will be done on a quarterly basis, while for income, it will be done every six months.