School-to-work transition data are an important component of labor market information systems (LMIS). Policy makers, researchers, and education providers benefit from knowing how long it takes work-seekers to find employment, how and where they search for employment, the quality of employment obtained, and how steady it is over time. In less-developed countries, these data are poorly collected, or not collected at all, a situation the International Labour Organization and other donors have attempted to change. However, LMIS reform efforts typically miss a critical part of the picture—the geospatial aspects of these transitions. Few LMIS systems fully consider or integrate geospatial school-to-work transition information, ignoring data critical to understanding and supporting successful and sustainable employment: employer locations; transportation infrastructure; commute time, distance, and cost; location of employment services; and other geographic barriers to employment. We provide recently collected geospatial school-to-work transition data from South Africa and Kenya to demonstrate the importance of these data and their implications for labor market and urban development policy.
The importance of geospatial data to labor market information
By Eric M. Johnson, Robert Urquhart, Margaret M. O'Neil
June 2018 Open Access Peer Reviewed
Johnson, E. M., Urquhart, R., & O'Neil, M. M. (2018). The importance of geospatial data to labor market information. Research Triangle Park, NC: RTI Press. RTI Press Publication No. PB-0017-1806 https://doi.org/10.3768/rtipress.2018.pb.0017.1806
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