Accounting for mismatch in low- and middle-income countries: measurement, magnitudes, and explanations
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Washington, DC
World Bank Group
[2016]
|
| Series: | Directions in development: human development
|
| Subjects: | |
| Online Access: | DE-945 Volltext |
| Physical Description: | 1 Online-Ressource (xxix, 129 Seiten) |
| ISBN: | 9781464809095 |
| DOI: | 10.1596/978-1-4648-0908-8 |
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| 505 | 8 | |a To stimulate economic advancement, low- and middle-income countries need well-educated and trained workforces to fill the types of skilled jobs that drive economic growth. Improving educational quality and attainment and providing better training are all rightly put forth as policy recommendations to leverage economic growth and job creation. However, new findings based on large scale surveys of adult skills from the World Bank Groups STEP (Skills toward Employment and Productivity) Skills Measurement Program suggest that many workers are overqualified for their current jobs (based on the education those jobs require). The results of this study suggest that countries may not reap as much benefit from their investments in quality education and training if weak job creation leaves workers skills underutilized. Most of the literature on mismatch focuses on higher-income countries and rates of over-education among college graduates. | |
| 505 | 8 | |a Accounting for Mismatch in Low- and Middle-Income Countries uses new STEP Skills Survey data from 12 low- and middle-income countries, representing a range of economic and educational and training climates, to better understand the scope and patterns of education and skills mismatch. STEP collects information not only on workers level of education and employment status, but also on the types, frequency, and durations of tasks they carry out at their jobs as well as some of the cognitive skills they use. The study also explores additional factors such as gender, health, career stage, and participation in the informal labor sector that may help explain the degree of mismatch rates. The studys findings indicate that over-education is common in low and middle income countries with both lower and higher rates of educational attainment. | |
| 505 | 8 | |a There is also evidence that over-educated tertiary workers do not use all of their skills, potentially wasting valuable human capital and educational resources. Aimed at policy makers, business and education leaders, and employers, Accounting for Mismatch in Low- and Middle-Income Countries suggests that job growth must go hand-in-hand with investments in education and training | |
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| contents | To stimulate economic advancement, low- and middle-income countries need well-educated and trained workforces to fill the types of skilled jobs that drive economic growth. Improving educational quality and attainment and providing better training are all rightly put forth as policy recommendations to leverage economic growth and job creation. However, new findings based on large scale surveys of adult skills from the World Bank Groups STEP (Skills toward Employment and Productivity) Skills Measurement Program suggest that many workers are overqualified for their current jobs (based on the education those jobs require). The results of this study suggest that countries may not reap as much benefit from their investments in quality education and training if weak job creation leaves workers skills underutilized. Most of the literature on mismatch focuses on higher-income countries and rates of over-education among college graduates. Accounting for Mismatch in Low- and Middle-Income Countries uses new STEP Skills Survey data from 12 low- and middle-income countries, representing a range of economic and educational and training climates, to better understand the scope and patterns of education and skills mismatch. STEP collects information not only on workers level of education and employment status, but also on the types, frequency, and durations of tasks they carry out at their jobs as well as some of the cognitive skills they use. The study also explores additional factors such as gender, health, career stage, and participation in the informal labor sector that may help explain the degree of mismatch rates. The studys findings indicate that over-education is common in low and middle income countries with both lower and higher rates of educational attainment. There is also evidence that over-educated tertiary workers do not use all of their skills, potentially wasting valuable human capital and educational resources. Aimed at policy makers, business and education leaders, and employers, Accounting for Mismatch in Low- and Middle-Income Countries suggests that job growth must go hand-in-hand with investments in education and training |
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| discipline | Wirtschaftswissenschaften |
| doi_str_mv | 10.1596/978-1-4648-0908-8 |
| format | Electronic eBook |
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| spellingShingle | Handel, Michael J. Accounting for mismatch in low- and middle-income countries measurement, magnitudes, and explanations To stimulate economic advancement, low- and middle-income countries need well-educated and trained workforces to fill the types of skilled jobs that drive economic growth. Improving educational quality and attainment and providing better training are all rightly put forth as policy recommendations to leverage economic growth and job creation. However, new findings based on large scale surveys of adult skills from the World Bank Groups STEP (Skills toward Employment and Productivity) Skills Measurement Program suggest that many workers are overqualified for their current jobs (based on the education those jobs require). The results of this study suggest that countries may not reap as much benefit from their investments in quality education and training if weak job creation leaves workers skills underutilized. Most of the literature on mismatch focuses on higher-income countries and rates of over-education among college graduates. Accounting for Mismatch in Low- and Middle-Income Countries uses new STEP Skills Survey data from 12 low- and middle-income countries, representing a range of economic and educational and training climates, to better understand the scope and patterns of education and skills mismatch. STEP collects information not only on workers level of education and employment status, but also on the types, frequency, and durations of tasks they carry out at their jobs as well as some of the cognitive skills they use. The study also explores additional factors such as gender, health, career stage, and participation in the informal labor sector that may help explain the degree of mismatch rates. The studys findings indicate that over-education is common in low and middle income countries with both lower and higher rates of educational attainment. There is also evidence that over-educated tertiary workers do not use all of their skills, potentially wasting valuable human capital and educational resources. Aimed at policy makers, business and education leaders, and employers, Accounting for Mismatch in Low- and Middle-Income Countries suggests that job growth must go hand-in-hand with investments in education and training BUSINESS & ECONOMICS / Labor bisacsh POLITICAL SCIENCE / Labor & Industrial Relations bisacsh Job analysis fast Skilled labor fast Vocational qualifications fast Entwicklungsländer Wirtschaft Vocational qualifications Developing countries Skilled labor Developing countries Job analysis |
| title | Accounting for mismatch in low- and middle-income countries measurement, magnitudes, and explanations |
| title_auth | Accounting for mismatch in low- and middle-income countries measurement, magnitudes, and explanations |
| title_exact_search | Accounting for mismatch in low- and middle-income countries measurement, magnitudes, and explanations |
| title_full | Accounting for mismatch in low- and middle-income countries measurement, magnitudes, and explanations Michael J. Handel, Alexandria Valerio, and Maria Laura Sánchez Puerta |
| title_fullStr | Accounting for mismatch in low- and middle-income countries measurement, magnitudes, and explanations Michael J. Handel, Alexandria Valerio, and Maria Laura Sánchez Puerta |
| title_full_unstemmed | Accounting for mismatch in low- and middle-income countries measurement, magnitudes, and explanations Michael J. Handel, Alexandria Valerio, and Maria Laura Sánchez Puerta |
| title_short | Accounting for mismatch in low- and middle-income countries |
| title_sort | accounting for mismatch in low and middle income countries measurement magnitudes and explanations |
| title_sub | measurement, magnitudes, and explanations |
| topic | BUSINESS & ECONOMICS / Labor bisacsh POLITICAL SCIENCE / Labor & Industrial Relations bisacsh Job analysis fast Skilled labor fast Vocational qualifications fast Entwicklungsländer Wirtschaft Vocational qualifications Developing countries Skilled labor Developing countries Job analysis |
| topic_facet | BUSINESS & ECONOMICS / Labor POLITICAL SCIENCE / Labor & Industrial Relations Job analysis Skilled labor Vocational qualifications Entwicklungsländer Wirtschaft Vocational qualifications Developing countries Skilled labor Developing countries Job analysis |
| url | https://doi.org/10.1596/978-1-4648-0908-8 |
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