Submitted manuscript, 830 KB, PDF document
Research output: Working paper
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TY - UNPB
T1 - Curriculum
AU - Johnes, G
PY - 2003
Y1 - 2003
N2 - Regression and neural network models of wage determination are constructed where the explanatory variables include detailed information about the impact of school curricula on future earnings. It is established that there are strong nonlinearities and interaction effects present in the relationship between curriculum and earnings. The results have important implications in the context of the human capital versus signalling and screening debate. They also throw light on contemporary policy issues concerning the desirability of breadth versus depth in the school curriculum
AB - Regression and neural network models of wage determination are constructed where the explanatory variables include detailed information about the impact of school curricula on future earnings. It is established that there are strong nonlinearities and interaction effects present in the relationship between curriculum and earnings. The results have important implications in the context of the human capital versus signalling and screening debate. They also throw light on contemporary policy issues concerning the desirability of breadth versus depth in the school curriculum
KW - curriculum
KW - earnings
KW - neural networks
M3 - Working paper
T3 - Economics Working Paper Series
BT - Curriculum
PB - The Department of Economics
CY - Lancaster University
ER -