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example, unemployment, taxes and education (as a proxy of knowledge). …
Persistent link: https://www.econbiz.de/10012177743
This paper examines the relationship between the education level of Spanish emigrants and their destination country … be due to dissimilarities in their level of education. To explore this, we use census microdata, covering the period from …
Persistent link: https://www.econbiz.de/10012591816
Large international earnings differentials negatively impact human capital investments in migrant-origin countries. We find that three Central Asian migrant-sending countries-the Kyrgyz Republic, the Republic of Tajikistan, and the Republic of Uzbekistan-are facing a for-saken schooling...
Persistent link: https://www.econbiz.de/10012303135
to the 1988 free secondary education reform in the Philippines to examine the impact of years of education on the … propensity of working abroad. The results suggest that free secondary education increased the years of education for men …. Moreover, the additional years of education reduced the likelihood of working abroad by 3.2% points on average. However, an …
Persistent link: https://www.econbiz.de/10012303208
below which an increase in income has no impact on child labor and education. We estimate the causal impact of an increase … in income on child labor and education exploiting the random allocation of the Child Grant Programme, an unconditional …, while relatively less poor households reduce child labor and increase education. In policy terms, the results indicate that …
Persistent link: https://www.econbiz.de/10012303225
theory and empirical research. It is about education and health, i.e. the educational qualifications of employees and their … statistical significance, but higher education qualifications have proved to be an indicator of human capital with the greatest …
Persistent link: https://www.econbiz.de/10012266319
to poverty reduction. The main objective of the current study is to examine the extent to which gender, education … and 30 years. The main findings based on a binary logistic regression approach, reveal that education, gender, residence …, and age are all critical in driving youth unemployment. The Ugandan youth who has some level of education is more likely …
Persistent link: https://www.econbiz.de/10012650464
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