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Improving labour market data sources in Myanmar through support to the National Labour Force and School-to-Work Transition Survey - Final Evaluation

eval_number:

2525

eval_title:

Improving labour market data sources in Myanmar through support to the National Labour Force and School-to-Work Transition Survey - Final Evaluation

location:

region:

Asia and the Pacific

country:

Myanmar

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eval_url:

https://analyticstest.ilo.org/ievaldiscovery/eval/2525

lessons_learned:

description:

Labour market surveys need to take into account respondents’ background, focused on priority data needs and institutional capacity. For Myanmar, the survey was too complex, long and time consuming. Respondent households had to spend anywhere from one and half-hour to three hours and forego their work and social commitments. The institutional capacity in implementing partners was weak and CSO lacked ownership due to communication gap. Since the survey took place after a gap of 25 years, it would have been better to split it into three parts – labour force, child labour and school-to-work transition.

context:

The project design tried to capture too many things in one go, and it assumed that CSO and OOL would have adequate capacity with technical support from ILO.

success:

In the absence of ownership from CSO, MOLES took over the responsibility and mobilized its workforce to complete the surveys. Although this may have to do with access to ILO resources.

challenges:

Overambitious project design in the light of duration of the Project and weak institutional capacity for delivering outputs and outcome.

administrative_issues:

Less rigorous institutional assessment of implementing partners and short project implementation duration.

comments:

ILO project design teams, MOLES, CSO

url:

https://analyticstest.ilo.org/ievaldiscovery/lessons/219554

themes:

theme:

Data collection & analysis

category:

Organizational issues

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