C
Colm Harmon
Researcher at University of Sydney
Publications - 109
Citations - 5904
Colm Harmon is an academic researcher from University of Sydney. The author has contributed to research in topics: Earnings & Human capital. The author has an hindex of 33, co-authored 108 publications receiving 5652 citations. Previous affiliations of Colm Harmon include Institute for the Study of Labor & University College Dublin.
Papers
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Journal Article
Estimates of the economic return to schooling for the United Kingdom
Ian Walker,Colm Harmon +1 more
Journal ArticleDOI
Investing in early human development: timing and economic efficiency.
Orla Doyle,Colm Harmon,James J. Heckman,James J. Heckman,Richard E. Tremblay,Richard E. Tremblay +5 more
TL;DR: The need for early intervention is motivated by providing an overview of the impact of adverse risk factors during the antenatal and early childhood periods on outcomes later in life, and a suite of new European interventions that will inform this optimal timing debate are discussed.
Posted Content
The Returns to Education: Microeconomics
TL;DR: In this article, the authors focus on education as a private decision to invest in "human capital" and the estimation of the rate of return to that private investment, and show that there is an unambiguously positive effect on the earnings of an individual from participation in education.
Journal ArticleDOI
The Returns to Education: Microeconomics
TL;DR: In this article, the authors focus on education as a private decision to invest in "human capital" and the estimation of the rate of return to that private investment, and show that there is an unambiguously positive effect on the earnings of an individual from participation in education.
Journal ArticleDOI
A review of estimates of the schooling/earnings relationship, with tests for publication bias
TL;DR: In this paper, the authors provide an analytical review of previous estimates of the rate of return on schooling investments and measure how these estimates vary by country, over time, and by estimation method, finding evidence of reporting (or file drawer) bias in the estimates and, after due account is taken of this bias, they find that differences due to estimation method are much smaller than is sometimes reported, although some are statistically significant.