{"doc_desc":{"idno":"DDI_BEN_2017_PEJIE-BL_v01_M_WB","producers":[{"name":"Development Data Group","abbreviation":"DECDG","affiliation":"World Bank","role":"Documentation of the Study"}],"prod_date":"2021-08-03","version_statement":{"version":"Version 01"}},"study_desc":{"title_statement":{"idno":"BEN_2017_PEJIE-BL_v01_M","title":"Projet Emploi Jeune Impact Evaluation 2017, Baseline Survey","alt_title":"PEJIE-BL 2017"},"authoring_entity":[{"name":"Julia Vaillant","affiliation":"The World Bank"},{"name":"Thomas Bossuroy","affiliation":"The World Bank"}],"production_statement":{"copyright":"World Bank 2021"},"distribution_statement":{"depositor":[{"name":"Gender Impact Evaluation","abbreviation":"AFEGI","affiliation":"World Bank"}]},"series_statement":{"series_name":"Other Household Survey [hh\/oth]","series_info":"Baseline Survey"},"version_statement":{"version_date":"2021-08-03"},"study_info":{"abstract":"The study consists in a multi-arm randomized control trial of Benin's national Youth Employment Project. It tests the impact of a comprehensive youth employment program providing a cash grant, a socioemotional skills training and a business skills training to unemployed and underemployed youth, and compare relative impacts of the full package, a cash grant arm only, and a training arm only. The study provides much needed evidence on the effectiveness of comprehensive youth employment programs, an increasingly common policy response to a high strategic priority for many governments, and assesses the relative importance of skills and capital constraints to labor market outcomes of the target population. The success of the program is measured against improvements in four main outcome variables: vulnerable employment, earnings, business profits, and number of employees in the business owned. Three secondary outcomes are also considered: agency, wealth, and expenditures. The sample size and measurement tools were determined to allow a thorough analysis of gender-differentiated impacts and other important dimensions of heterogeneity such as cognitive and non-cognitive skills.","coll_dates":[{"start":"2017-07-01","end":"2017-08-01","cycle":"Baseline"}],"nation":[{"name":"Benin","abbreviation":"BEN"}],"geog_coverage":"The study sample comes from 15 communes of the 77 communes in which the project was implemented. These 15 communes were selected for the following reasons: i) practicality: only communes belonging to d\u00e9partements in the southern part of Benin were included to keep data collection and monitoring of compliance costs reasonable, ii) contribution to poverty: in each included department, the three communes with the highest contribution to extreme poverty were selected. This ensured that the results would be valid for poorer communes of the central and northern parts of the country.","geog_unit":"Commune","analysis_unit":"Household, Individual","data_kind":"Sample survey data [ssd]"},"method":{"data_collection":{"coll_mode":"Computer Assisted Personal Interview [capi]"}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"","required":"yes","form_no":"","uri":""}],"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download\n\nExample:\nJulia Vaillant, Thomas Bossuroy (World Bank). Benin Projet Emploi Jeune Impact Evaluation (PEJIE-BL) 2017, Baseline Survey. Ref. BEN_2017_PEJIE-BL_v01_M. Downloaded from [uri] on [date]","conditions":"Public Use Files","disclaimer":"The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses."}}},"schematype":"survey","tags":[{"tag":"DOI"}]}