Identification and anticipation of skill requirements: Instruments used by international institutions and developed countries

The report analyzes mechanisms used by international institutions and developed countries to identify and anticipate skills requirements, emphasizing the importance of accurate skills information for effective vocational education and training systems.

(Generated with the help of GPT-4)

Quick Facts
Report location: source source 2
Language: English
Publisher: Economic Commission For Latin America And The Caribbean
Authors: Gerla Van Breugel
Time horizon: 2017
Geographic focus: Latin_America_And_The_Caribbean, Europe, United_States, Canada
Page count: 110 pages

Methods

The research method involved a comprehensive review of existing literature, case studies, and various quantitative and qualitative approaches to skills identification and anticipation. It included stakeholder consultations and analysis of data from national and international sources.

(Generated with the help of GPT-4)

Key Insights

The report discusses the critical role of accurate skills information in shaping effective vocational education and training (VET) systems. It highlights the ongoing changes in skills requirements due to globalization, technological advancements, and demographic shifts. Skill mismatches are prevalent in developed countries, leading to lower wages and job satisfaction. The report reviews various quantitative and qualitative methods employed by international organizations and developed nations to identify current and future skills needs. These methods include input-output models, computable general equilibrium models, and the manpower requirement approach, all requiring substantial resources and stakeholder involvement. The report emphasizes the necessity of a mixed-method approach to achieve reliable results and discusses the importance of disseminating skills information for policy development in employment, education, migration, and social policies. It also outlines the challenges faced in accurately measuring skills and the need for collaboration among various stakeholders to ensure that VET systems align with labor market demands.

(Generated with the help of GPT-4)

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Last modified: 2025/12/03 03:42 by davidpjonker