Pooled Longitudinal Dataset on the Assessment of an Apprenticeship-based Entrepreneurship Intervention in Nigeria
Description
This dataset presents longitudinal data collected through four surveys – baseline, midline1, midline2 and endline – of fresh graduates who underwent the National Youth Service Corps (NYSC) programme across ten states in Nigeria. The data were collected from 21,940 unique young men and women who underwent compulsory one-year national service after graduating from universities and polytechnics across Nigeria. The surveys were designed for a longitudinal study to assess the impact of the Skills Acquisition and Enterpreneurship Development (SAED) programme of the NYSC, which is the largest apprenticeship-based entrepreneurship intervention for young people in Nigeria, and arguably in Africa. The surveys sought to fully profile the entrepreneurship and apprenticeship characteristics of the graduates, their experience and assessment of the SAED programme, as well as assess the impacts of the SAED programme. The surveys were collected at roughly 6-month interval across the ten selected states, including a baseline survey in November 2020 when the respondents were newly mobilized for their service and were having the Orientation programme on the camps, two follow-up surveys respectively in April and October 2021, and an endline survey in April 2022 after the respondents had exited the NYSC scheme for about six months. The usefulness of the dataset is many folds. One, the dataset can be used to assess the impacts of the over-a-decade-old introduction of compulsory entrepreneurship training into the Nigerian university system that produced most of the respondents. Two, it can also be used to quantify the potential pool of future entrepreneurs among highly educated Nigerian youth. Three, the design and impacts of the SAED programme of the NYSC can be gauged using the dataset. The full entrepreneurship and apprenticeship profile of a representative sample of educated young people in the largest and most populous nation in Africa is useful for researchers, donors and policymakers in characterizing and designing appropriate interventions to boost self-employment as a way of reaping Africa’s demographic dividend.
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Usage Notes * An article that provides further details on the survey methods and sample is being prepared and will be published. Users are strongly advised to consult the paper (details to be updated here once available). * The dataset was generated from a series of longitudinal surveys. It is strongly recommended that users thoroughly familiarize themselves with the accompanying questionnaires before applying the dataset. * In the data file, variable names do not correspond to the order of questions in the questionnaires. Questions largely differ across surveys. The word document "Variables across surveys" presents an overview of all variables and in which surveys they were asked * For anonimity, the personal information of the respondents - (NYSC state code, email addresses and phone numbers - which were collected to link unique respondents across surveys, are not included in the dataset. The variable ID contains a unique number for every respondent; repeated IDs represent respondents that appear in more than a survey. * The midline1 survey was the biggest. Made so because Corps memebrs who were not captured in a particular state at baseline took part in the midline1 survey because they were newly redployed to the state. Attrition was huge in the dataset becasue many Corps members covered at baseline were redeployed out of their original state of deployment. If you use the dataset, please acknowledge the source using the following information: * The National Centre for Technology Management (NACETEM), Ile-Ife, Nigeria & the Centre for Gender and Social Policy Studies (CGSPS), Obafemi Awolowo University, Ile-Ife, Nigeria carried out the original surveys with funding from the International Development Research Centre (IDRC).