Leveraging Mobile Phone Big Data to Estimate Gender Inequalities in Labor Market Outcomes in Ghana

Detalles Bibliográficos
Autores principales: Seymour, Greg, Follett, L.
Formato: Ponencia
Publicado: CGIAR GENDER Impact Platform 2023
Materias:
Acceso en línea:https://hdl.handle.net/10568/132137
_version_ 1855527299321954304
author Seymour, Greg
Follett, L.
author_browse Follett, L.
Seymour, Greg
author_facet Seymour, Greg
Follett, L.
author_sort Seymour, Greg
collection Repository of Agricultural Research Outputs (CGSpace)
format Ponencia
id CGSpace132137
institution CGIAR Consortium
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher CGIAR GENDER Impact Platform
publisherStr CGIAR GENDER Impact Platform
record_format dspace
spelling CGSpace1321372025-11-06T06:25:41Z Leveraging Mobile Phone Big Data to Estimate Gender Inequalities in Labor Market Outcomes in Ghana Seymour, Greg Follett, L. data gender markets gender equality 2023-01-10 2023-10-04T19:45:03Z 2023-10-04T19:45:03Z Presentation https://hdl.handle.net/10568/132137 Open Access application/pdf CGIAR GENDER Impact Platform Seymour, G. & Follett, L. 2023. Leveraging Mobile Phone Big Data to Estimate Gender Inequalities in Labor Market Outcomes in Ghana. Presentation, 10 January 2023. Nairobi, Kenya: CGIAR GENDER Impact Platform.
spellingShingle data
gender
markets
gender equality
Seymour, Greg
Follett, L.
Leveraging Mobile Phone Big Data to Estimate Gender Inequalities in Labor Market Outcomes in Ghana
title Leveraging Mobile Phone Big Data to Estimate Gender Inequalities in Labor Market Outcomes in Ghana
title_full Leveraging Mobile Phone Big Data to Estimate Gender Inequalities in Labor Market Outcomes in Ghana
title_fullStr Leveraging Mobile Phone Big Data to Estimate Gender Inequalities in Labor Market Outcomes in Ghana
title_full_unstemmed Leveraging Mobile Phone Big Data to Estimate Gender Inequalities in Labor Market Outcomes in Ghana
title_short Leveraging Mobile Phone Big Data to Estimate Gender Inequalities in Labor Market Outcomes in Ghana
title_sort leveraging mobile phone big data to estimate gender inequalities in labor market outcomes in ghana
topic data
gender
markets
gender equality
url https://hdl.handle.net/10568/132137
work_keys_str_mv AT seymourgreg leveragingmobilephonebigdatatoestimategenderinequalitiesinlabormarketoutcomesinghana
AT follettl leveragingmobilephonebigdatatoestimategenderinequalitiesinlabormarketoutcomesinghana