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Technical & Vocational Skills Training Program for Orphans & Vulnerable Youth Maria Jones Field Coordinator TVST OVAY DIME Workshop, Dubai June 2, 2010
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Outline of Presentation TVST Program Background and Motivation TVST Impact Evaluation Hypothesis Research Design Primary implementation challenge : locating and tracking at-risk youth Sources of difficulty Implications Lessons learned
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Background & Motivation Motivation Large population of unskilled, unemployed youth in Malawi High rates of HIV/AIDS prevalence (~13%) Lack of skills is a major impediment to Malawi’s economic growth and limits employment opportunities for youth TVST Program Targets youth 15-24 years old from ultra-poor households Beneficiaries matched with a local master craftsman Receive practical, competency-based vocational training, mentoring, entrepreneurial / life-skills training, and business start up kits.
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TVST-OVAY Impact Evaluation Hypothesis of Program Effect: enhance marketable skills and employability increase returns to productive activity and opportunity costs of engaging in risky behavior Local collaborators: Malawi National AIDS Commission Technical, Entrepreneurial and Vocational Training Authority
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Research Design What is the causal effect of the training on LM outcomes: employability and earnings potential Health outcomes: high-risk sexual activity, drug/alcohol use Identification strategy: Randomized Phase-In Beneficiaries randomly assigned to 1 of 3 cohorts Only systematic difference between cohorts is time of treatment Data collection: Baseline survey March – May 2010 Follow up December 2010 – Feb 2011
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Implementation Challenges Biggest challenge: Finding and tracking respondents Sources of difficulties: Geographic dispersion (consequence of program design) ▪ High transport costs ▪ Lack of address system Decentralized selection of beneficiaries ▪ Incomplete contact information ▪ Beneficiary list not vetted by implementing agency Highly mobile target population ▪ Time lag between selection of youth and baseline data collection
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Implementation Challenges Implications: Increased cost and time for data collection, attrition Interviewed ~75% of sample ▪ 7.8% dropped due to faulty listing (outside age bracket, ineligible) ▪ 10.2% had moved away since listing ▪ 4.4% impossible to identify (name / village unknown) Lessons learned: Sample frame must be completely current and pre-verified The more contact information, the better Gathering respondents in central locations saves time/$ Use local mediate to facilitate communication (radio ads) Attrition remains a serious concern for follow-up
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