A Web-Based Approach to Measure Skill Mismatches and Skills Profiles for a Developing Country: The Case of Colombia

A Web-Based Approach to Measure Skill Mismatches and Skills Profiles for a Developing Country: The Case of Colombia

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Several interdisciplinary studies highlight imperfect information as a possible explanation of skill mismatches,
which in turn has implications for unemployment and informality rates. Despite information failures and their
consequences, countries like Colombia (where informality and unemployment rates are high) lack a proper
labour market information system to identify skill mismatches and employer skill requirements. One reason
for this absence is the cost of collecting labour market data.
Recently, the potential use of online job portals as a 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. As such, these portals could be of use for Colombia. However, debates continue about the efficacy
of this use, particularly concerning the robustness of the collected data. This book implements a novel
mixed-methods approach (such as web scraping, text mining, machine learning, etc.) to investigate to what
extent a web-based model of skill mismatches can be developed for Colombia.
The main contribution of this book is demonstrating that, with the proper techniques, job portals can
be a robust source of labour market information. In doing so, it also contributes to current knowledge 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 be collected and analysed via
other means. By applying this novel methodology, this study provides new empirical data on the extent and
nature of skill mismatches in Colombia for a considerable set of non-agricultural occupations in the urban and
formal economy. Moreover, this information can be used as a complement to household surveys to monitor
potential skill shortages. Thus, the findings are useful for policymakers, statisticians, and education and training
providers, among others.

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Several interdisciplinary studies highlight imperfect information as a possible explanation of skill mismatches,
which in turn has implications for unemployment and informality rates. Despite information failures and their
consequences, countries like Colombia (where informality and unemployment rates are high) lack a proper
labour market information system to identify skill mismatches and employer skill requirements. One reason
for this absence is the cost of collecting labour market data.
Recently, the potential use of online job portals as a 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. As such, these portals could be of use for Colombia. However, debates continue about the efficacy
of this use, particularly concerning the robustness of the collected data. This book implements a novel
mixed-methods approach (such as web scraping, text mining, machine learning, etc.) to investigate to what
extent a web-based model of skill mismatches can be developed for Colombia.
The main contribution of this book is demonstrating that, with the proper techniques, job portals can
be a robust source of labour market information. In doing so, it also contributes to current knowledge 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 be collected and analysed via
other means. By applying this novel methodology, this study provides new empirical data on the extent and
nature of skill mismatches in Colombia for a considerable set of non-agricultural occupations in the urban and
formal economy. Moreover, this information can be used as a complement to household surveys to monitor
potential skill shortages. Thus, the findings are useful for policymakers, statisticians, and education and training
providers, among others.

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Entregamos su paquete en 2-3 días laborables. En cuanto salga de nuestro almacén, recibirá una confirmación por correo electrónico. Esta confirmación incluye un número de seguimiento que puede usar para saber dónde se encuentra su paquete.

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