{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DIME","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"prod_date":"2024-05-07","version":"1"},"project_desc":{"authoring_entity":[{"name":"Clara Delavallade","affiliation":"World Bank","email":"cdelavallade@worldbank.org"},{"name":"Manil Zenaki","affiliation":"World Bank","email":"mzenaki@worldbank.org"},{"name":" L\u00e9a Rouanet","affiliation":"World Bank","email":"lrouanet@worldbank.org"},{"name":"Estelle Koussoub\u00e9","email":"mkoussoube@worldbank.org","affiliation":"World Bank"}],"output":[{"authors":"Clara Delavallade, Manil Zenaki, L\u00e9a Rouanet, and Estelle Koussoub\u00e9 ","type":"Working Paper","title":"Exploring the Drivers of Youth Pursuing Vocational Training in High-Paying Sectors in C\u00f4te d\u2019Ivoire","description":"Policy Research Working Paper (PRWP) "}],"datasets":[{"name":"The Household Living Standards Survey 2015","note":"Source: Institut National de la Statistique. Enqu\u00eate sur le Niveau de Vie des M\u00e9nages (ENV) 2015.\nRef. CIV_2015_ENV_v01_M. Please see the README file for more details regarding the specific databases used. Access can be granted following the access policy provided by the International Household Survey Network, which entails making a data request to the National Institute of Statistics of C\u00f4te d\u2019Ivoire (ins.rci.diffusion@gmail.com). You can see the full details in the link below. \n","uri":"https:\/\/catalog.ihsn.org\/catalog\/7330\/","access_type":"Published with the package"},{"name":"PRO-Jeunes impact evaluation","note":"The PRO-Jeunes data consists of two files representing baseline data collected on two cohorts for an impact evaluation. These files contain the raw dataset provided by Innovations for Poverty Action (IPA), the research organization responsible for data collection. The authors have only removed personally identifiable information.\n\nFor the moment, to access the raw data, you can contact Delange M. Dago at ddago@poverty-action.org. However, this will be available in the World Bank Microdata Library in the upcoming days. Please contact Manil Zenaki at mzenaki@worldbank.org regarding the status of this data publication.\n\n","access_type":"Published with the package\n","uri":"Forthcoming at microdata.worldbank.org"}],"software":[{"name":"Stata","version":"17"}],"scripts":[{"description":"The code in this folder generates the tables and figures in the paper \"Exploring the Drivers of Youth Pursuing Vocational Training in High-Paying Sectors in C\u00f4te d\u2019Ivoire\" by by Clara Delavallade, Manil Zenaki, L\u00e9a Rouanet, and Estelle Koussoub\u00e9","file_name":"RR_CIV_2024_123.zip","zip_package":"RR_CIV_2024_123.zip","title":"Reproducibility package (data and code) for Exploring the Drivers of Youth Pursuing Vocational Training in High-Paying Sectors in C\u00f4te d\u2019Ivoire","date":"2024-04","dependencies":"All dependencies are stored in the ado folder in this reproducibility package. ","notes":"Computational reproducibility verified by Development Impact (DIME) Analytics team, World Bank.","instructions":"See README in the reproducibility package."}],"data_statement":"All data utilized in this study are publicly available. However, the PRO-Jeunes data set, which is used in this research, has not yet been released but is forthcoming. It will be accessible at microdata.worldbank.org once published.","title_statement":{"title":"Reproducibility package for Exploring the Drivers of Youth Pursuing Vocational Training in High-Paying Sectors in C\u00f4te d'Ivoire","idno":"RR_CIV_2024_123"},"reproducibility_status":{"type":"Data: All data is temporarily embargoed by the authors (expected to be made public in the future); Code: All code files, from cleaning to analysis, are included in the reproducibility package; Outputs: All outputs are generated by code included in the reproducibility package; Reproducibility verification: The public reproducibility package does not include all of the data used to conduct this verification."},"acknowledgment_statement":"This paper is a product of the World Bank Africa Gender Innovation Lab, Office of the Chief Economist, Africa Region. This project was conducted in collaboration with the International Rescue Committee and the PRO Jeunes (Pro-Youth) program. The authors would like to thank Patrice Comoe Boa, Michel Pokoudiby, Kevine Koffi Zoukou, Simplice Konan, Marie France Guimond, Natalia Strigin, Sreelakshmi Papineni and Girum Abebe Tefera for their invaluable contributions. We also extend our thanks to Innovations for Poverty Action (IPA) for their outstanding support in conducting the field experiment and data collection. Special thanks to Josephine Tassy and Helene Donnat for their excellent research assistance. Additionally, we acknowledge Catherine Seya for her invaluable input and support throughout the research process. Lastly, we would like to express our sincere appreciation to the principal investigators of the main experiment related to this study: Jeannie Annan, Dave Evans, and Markus Goldstein. Funding for this research was graciously provided by the Wellspring Foundation and the World Bank Umbrella Fund for Gender Equality (UFGE). The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development\/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.\n","production_date":"2024-04","abstract":"Education and skills are two key determinants of earning potential. Not only the level of education but also the sector of specialization can substantially influence earnings, with disparities manifesting in remuneration across various sectors. This study examines the drivers behind training choices in two high-paying sectors: information and communications and technology. The study is based on data on 2,456 people seeking vocational training in C\u02c6ote d\u2019Ivoire. Most people in the sample (72 percent of men and 52 percent of women) wanted to be trained in the energy or information and communications and technology sectors. Education levels and previous training in similar sectors are significant and positive correlates of training choice, indicating a strong path dependency. Other correlates are more gender-specific. The size of the professional network is positively correlated with the choice of training in a lucrative sector for men, but not for women. Conversely, women benefit more than men from having male role models. Finally, women who do not opt for lucrative sectors are more likely to hold conservative views over their household responsibilities.","geographic_units":[{"name":"C\u00f4te d\u2019Ivoire","code":"CIV","type":"Country"}],"keywords":[{"name":"High-paying sectors"},{"name":"skills"},{"name":"vocational training"},{"name":"youth employment"},{"name":"gender and skills"}],"topics":[{"id":"I26","vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","parent_id":"I2","name":"Returns to Education"},{"id":"J16","vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","parent_id":"J1","name":"Economics of Gender \u2022 Non-labor Discrimination"},{"id":" L26","vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","parent_id":"L1","name":"Entrepreneurship"},{"id":"O15","vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","parent_id":"O1","name":"Human Resources \u2022 Human Development \u2022 Income Distribution \u2022 Migration"}],"language":[{"name":"English","code":"EN"}],"reproduction_instructions":"To successfully replicate this package, new users must change the file paths in the main do file and run the script.  ","technology_requirements":"~8 minutes runtime","technology_environment":"Paper exhibits were reproduced on a computer with the following specifications:\n\u2013 OS: Windows 11 Enterprise\n\u2013 Processor: Intel(R) Core(TM) i5-1145G7 CPU @ 2.60GHz\n\u2013 Memory available: 15.7 GB\n\u2013 Software version: Stata version 17","repository_uri":[{"name":"Reproducible Research Repository (World Bank)","uri":"https:\/\/reproducibility.worldbank.org"}],"disclaimer":"The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development\/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.","license":[{"name":"Creative Commons Attribution 4.0 (CC-BY 4.0)","uri":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"contacts":[{"name":"Manil Zenaki","email":"mzenaki@worldbank.org","affiliation":"World Bank"},{"name":"Reproducibility WBG","affiliation":"World Bank","email":"reproducibility@worldbank.org"}],"identifiers":[{"type":"DOI","identifier":"10.60572\/ry99-yq49"}]},"tags":[{"tag":"DOI"}],"schematype":"script"}