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NIGERIA Impact of IT Training on Youth Employment

NIGERIA Impact of IT Training on Youth Employment. Mr. Y.S. Labaran, Mr. F.O. Bajowa, Mr. Hamza Bello, Mrs. Yemisi Joel-Osebor. Nigeria needs more jobs. Nigeria needs more jobs, especially among the young population 1 in 10 new entrants to labor force find formal sector jobs

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NIGERIA Impact of IT Training on Youth Employment

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  1. NIGERIA Impact of IT Training on Youth Employment Mr. Y.S. Labaran, Mr. F.O. Bajowa, Mr. Hamza Bello, Mrs. Yemisi Joel-Osebor

  2. Nigeria needs more jobs • Nigeria needs more jobs, especially among the young population • 1 in 10 new entrants to labor force find formal sector jobs • 30% of workforce inactive • Less than 9% formal employment • 50% of 15-24 year olds unemployed

  3. INTERVENTION DESCRIPTION What is the intervention? Title Intervention: IT training for secondary school graduates to work in offshore call centers. Motivation: • Business processing outsourcing (BPO) industry growing 25-30% a year • India receives same amount per year ($50 Billion) from IT-enabled services as Nigeria does from oil • Building IT infrastructure is large part of GEMs project

  4. Intervention is part of a larger project • GEMS (Growth & Employment in States) • Construction and real estate • Meat and leather • ICT • Broadband connectivity • Management and vocational skills • Access to finance • ICT parks

  5. EVALUATION QUESTIONS Evaluation questions of interest Title • Can IT training of youth facilitate their employment and improve their earnings? • What do they do with any increased earnings? • What effects does this have within the household? • Does this make youth financially independent from their parents? • Does it change transfers and borrowing behavior? • Does it change their activities during leisure time? • Does the impact differ by gender?

  6. EVALUATION DESIGN More background Title • Accreditation of IT training centres is a part of the GEMS project • 6 centres expected to be accredited very soon • Each center can accommodate approximately 300 students per year • 18 week course • Ultimate goal: Up to 100,000 students trained • Trying to train 100,000 • wae

  7. EVALUATION DESIGN Evaluation design Title • 3 options: • Pure lottery after meeting basic eligibility criteria • secondary school graduate • proficiency in English • willingness to pay $500 fee, $250 returned upon successful graduation • Also need to experiment with subsidies to see if the fees exclude too many poor, high-potential people. • to train ,000wae

  8. Evaluation design • Regression discontinuity design: Centers administer an aptitude test and set a cut-off mark. Everyone above cut-off gets the training. Compare those just to the left of the cut-off mark to those just to the right. Blue line: Cut-off mark

  9. Evaluation design • Regression discontinuity design: This depends on how many students fall within the brackets. If there are too few students……… Blue line: Cut-off mark

  10. Evaluation design • Lottery above cut-off mark: randomly choose students who score above the cut-off mark. Those not chosen get a slot in the following year. Random selection among applicants above cut-off Blue line: Cut-off mark

  11. SAMPLING AND DATA Data and sampling Title • Data • Online survey of all applicants in both treatment and comparison groups • Sample among all of these for a face-to-face survey • Aiming to interview 1,000 treated and 1,000 comparison students across 6 training centres by end of 1 year of training. • 2,000 interviewed by web survey (with voucher as compensation) • 1,000 interviewed in household

  12. TIMELINE FOR IMPACT EVALUATION Timeline Title • Need to wait for centres to be accredited and for them to finish training a few batches • This should be finished byAugust 2010 • Advertising and recruitment of applicants [2 months] • (Aptitude test) • Baseline surveys [1 month; could happen at registration] • Random assignment (if necessary) • Announcement of selection • Training [18 weeks per stream] • Endline surveys [6 months after end of program]

  13. IMPACT EVALUATION TEAM: STAFFING Staffing Title • Main project coordinator • Make sure initial recruitment and screening occurs • Main liaison with training centres • Conduct lottery (if necessary) • Ensure correct treatment assignment • Could be firm or individual depending on number of applicants • Researcher to design surveys • Data collection firm • Data collection supervisor (M & E specialist) • Arianna Legovini to work with M & E team to analyze data in Lagos in July/August 2011

  14. BUDGET Budget Title • Accreditation: Waiting for bids…Approximately $250,000 • Data collection: • Household surveys: $200,000 • Web-based survey: $20,000 • Compensation for web-based survey: $10,000 • Staffing: Mostly covered under budget for PIU

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