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es is quite high in Sri Lanka, the initiative will not include providing mobile phones to the poor. Available data suggests that most poor households have access to a mobile, wireless or fixed line telephone either within their household, or within their immediate neighborhood which can be used as the primary contact method.

 

The target group will be informed of the initiative through two main methods. First, the implementation partner BDS, which has a strong field presence in the area, will conduct village level meetings to provide information about the new initiative and how to access the service provided. The initiative will build on BDS being a trusted information source as well as building on its existing networks in the villages. It is also proposed to launch a localized advertising campaign, using posters and handbills, which will be displayed at natural points of congregation and information exchange in the village, such as popular tea shops, bus stands, government administration offices (Grama Niladari office), community centres and religious places.

 

Interested persons can register, in person, in writing or over the telephone, with the BDS by providing basic information such as their skills, work preferences and how they would like to be contacted based on a format developed for the purpose. At the same time, BDS will also solicit potential employers in the area, including firms and households, who may have the requirement for skilled, semiskilled and unskilled labour for daily paid and other short term work. BDS will maintain the database of both potential employers and employees and carry out the necessary matching and inform suitable workers of work availability as and when they arise. IT expertise will be used to develop a MS Access-based database which is easy to use and capable of efficiently processing the information and matching prospective employer needs with the available rural labour. Project staff will also follow up with the employers and employees after the work has been completed, to obtain feedback for M&E and project improvement purposes.

 

Research framework

 

The research framework was designed to enable both “proving” and “learning” objectives. The proving objective is aimed to be achieved through the sample selection (generalisablity) and the construction of the counterfactual (attribution). Data will be collected from a stratified random sample of households which will be representative of the target population: rural workers who feel that they are under-employed and who would like more and better work opportunities. The sample will be drawn from all the people who register for the programme (that is people who self-identify that they are under-employed) and will include those who were matched with potential employees during the intervention and those who may not have been successfully matched (see Figure 1). Sample stratification levels include age, gender, location, and skill levels.

 

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