A web-based approach to measure skill mismatches and skills profiles for a developing country the case of Colombia
Despite information failures in the labour market and their consequences on unemployment and informality rates, countries like Colombia lack a proper labour market information system to identify skill mismatches and employer skill requirements. The use of online job portals as a potential source of...
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| Main Author: | |
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| Format: | Electronic Book Chapter |
| Language: | English |
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SciELO - Editorial Universidad del Rosario
2020
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| Online Access: | DOAB: download the publication DOAB: description of the publication |
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| Summary: | Despite information failures in the labour market and their consequences on unemployment and informality rates, countries like Colombia lack a proper labour market information system to identify skill mismatches and employer skill requirements. The use of online job portals as a potential source of labour market information has gained the attention of researchers and policymakers since these portals can provide quick and relatively low-cost data collection. However, debates continue about the efficacy and robustness of job portals for labour market analysis. Accordingly, this book implements a novel mixed methods approach (e.g. web scraping, text mining, machine learning, etc.) in order to investigate to what extent a web-based model of skill mismatches can be developed for Colombia. This book contributes to our current understanding of the topic by developing a conceptual and methodological approach to identify skills, occupations, and skill mismatches using online job advertisements, which would otherwise be too complex to analyse via other means. |
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| Physical Description: | 1 electronic resource (447 p.) |
| ISBN: | urosario9789587845457 9789587845457 9789587845440 |
| Access: | Open Access |