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Skills and earnings revisited

Research output: Working paper

Published

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Skills and earnings revisited. / Johnes, G.
Lancaster University: The Department of Economics, 2005. (Economics Working Paper Series).

Research output: Working paper

Harvard

Johnes, G 2005 'Skills and earnings revisited' Economics Working Paper Series, The Department of Economics, Lancaster University.

APA

Johnes, G. (2005). Skills and earnings revisited. (Economics Working Paper Series). The Department of Economics.

Vancouver

Johnes G. Skills and earnings revisited. Lancaster University: The Department of Economics. 2005. (Economics Working Paper Series).

Author

Johnes, G. / Skills and earnings revisited. Lancaster University : The Department of Economics, 2005. (Economics Working Paper Series).

Bibtex

@techreport{a04ca5ab158b4d8b915343e029cfdff4,
title = "Skills and earnings revisited",
abstract = "Regression and neural network models of wage determination are constructed where the explanatory variables include detailed information about skills. People skills, strategic skills, and IT skills all carry strong and significant wage premia; problem-solving skills (surprisingly) and physical skills (less surprisingly) do not. In contrast to the impact of school curriculum on subsequent earnings, the neural network modelling procedure does not pick up any significant nonlinearities in the relationship between skills and earnings.",
keywords = "skills, earnings, neural networks",
author = "G Johnes",
year = "2005",
language = "English",
series = "Economics Working Paper Series",
publisher = "The Department of Economics",
type = "WorkingPaper",
institution = "The Department of Economics",

}

RIS

TY - UNPB

T1 - Skills and earnings revisited

AU - Johnes, G

PY - 2005

Y1 - 2005

N2 - Regression and neural network models of wage determination are constructed where the explanatory variables include detailed information about skills. People skills, strategic skills, and IT skills all carry strong and significant wage premia; problem-solving skills (surprisingly) and physical skills (less surprisingly) do not. In contrast to the impact of school curriculum on subsequent earnings, the neural network modelling procedure does not pick up any significant nonlinearities in the relationship between skills and earnings.

AB - Regression and neural network models of wage determination are constructed where the explanatory variables include detailed information about skills. People skills, strategic skills, and IT skills all carry strong and significant wage premia; problem-solving skills (surprisingly) and physical skills (less surprisingly) do not. In contrast to the impact of school curriculum on subsequent earnings, the neural network modelling procedure does not pick up any significant nonlinearities in the relationship between skills and earnings.

KW - skills

KW - earnings

KW - neural networks

M3 - Working paper

T3 - Economics Working Paper Series

BT - Skills and earnings revisited

PB - The Department of Economics

CY - Lancaster University

ER -