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Nimmi, P. M.; Zakkariya, K. A.; Rahul, P. R. – Education & Training, 2021
Purpose: Graduates' attitudes towards learning, although subject to change, is a crucial indicator of their understanding and involvement in lifelong learning activities. The purpose of this paper is to explore whether lifelong learning enhances human capital worth to predict perceived employability. An enquiry into the attitudinal differences on…
Descriptors: Employment Potential, Lifelong Learning, Graduate Students, Student Attitudes
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Kamdjou, Herve D. Teguim – Open Education Studies, 2023
This article revisits the Mincer earnings function and presents comparable estimates of the average monetary returns associated with an additional year of education across different regions worldwide. In contrast to the traditional Ordinary Least Squares (OLS) method commonly employed in the literature, this study applied a cutting-edge approach…
Descriptors: Outcomes of Education, Artificial Intelligence, Human Capital, Regression (Statistics)
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Hailemariam, Abebe – Journal of Education and Work, 2018
This article examines the long-run effect of higher education, measured in average years of tertiary schooling, on the level and growth rate of national per capita income. It uses an improved dataset on educational attainments which not only reduces measurement error but also overcomes data comparability issues and allows us to estimate the…
Descriptors: Outcomes of Education, Higher Education, Educational History, Human Capital
Jensen, Robert T. – National Bureau of Economic Research, 2010
Gender differences in health and education are a concern for a number of developing countries. While standard theory predicts human capital should respond to market returns, social norms (e.g., disapproval of women working outside the home) may weaken or even sever this link for girls. Though many studies have examined the link between women's…
Descriptors: Economic Opportunities, Gender Differences, Human Capital, Females
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Colclough, Christopher – Comparative Education, 2012
Human capital and functionalist paradigms underpin the stance taken by most governments to education policy. These models have also had a profound effect upon the determination of education priorities in the poorest states and, indeed, upon aid policy. This paper argues, on the basis of evidence from the papers in this volume and from the wider…
Descriptors: Human Capital, Outcomes of Education, Educational Change, Poverty
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Saha, Bibhas; Sensarma, Rudra – Journal of Education and Work, 2011
We study returns to academic specialisation for Indian corporate sector workers by analysing cross-sectional data on male employees randomly selected from six large firms. Our analysis shows that going to college pays off, as it brings significant incremental returns over and above school education. However, the increase in returns is more…
Descriptors: Outcomes of Education, Foreign Countries, Gender Differences, Males
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Maqbool, Sara – Contemporary Issues in Education Research, 2009
Higher education is central to the development of a country. Without it, countries are bound to lag behind others in the race for development. Without human resources development and institution building, a nation cannot dream of progress and prosperity. The investment in higher education does not go unrecorded and its neglect does not get…
Descriptors: Equal Education, Educational Opportunities, Higher Education, Human Capital
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Das, Saswati; Mukherjee, Diganta – Social Indicators Research, 2007
This paper uses household level data from National Sample Survey Organization (NSSO) of India, the 55th round (1999-2000), to show that for urban male children there exists significant wage incentive for schooling, though school dropout rate and child labour incidence are not so small. The parents' level of education plays an important role in…
Descriptors: Human Capital, Females, Dropout Rate, Dropouts
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Self, Sharmistha; Grabowski, Richard – Economics of Education Review, 2004
This paper seeks to examine the impact of education on income growth in India for the time period 1966-1996. Education is broken down into the categories of primary, secondary, and tertiary. Time series techniques are used to determine whether education, for each category, has a causal impact on growth. Furthermore, the education variables are…
Descriptors: Foreign Countries, Case Studies, Income, Elementary Secondary Education