The Effects of Education and Health on Wages and Productivity
This Productivity Commission staff working paper (by Matthew Forbes, Andrew Barker and Stewart Turner) was released March 2010. Human capital theory supports the view that people with higher levels of education and lower incidences of chronic illness should have higher labour productivity. Hourly wages can be used as an indicator of labour productivity. While wages are likely to be a reasonable indicator of the effects of education on labour productivity, statistical issues and the way that labour markets function in practice mean that using wages as an indicator could lead to results that under- or overstate the negative effects of ill health on labour productivity. In this paper, higher levels of education are estimated to be associated with significantly higher wages. A second objective of this paper is to estimate the potential productivity of people who are not employed or not in the labour force. These people tend to have characteristics that are systematically different to people who are employed. For example, they tend to have less education and work experience, and also to be in worse health. Because of this, they are more likely to be targeted by government programs. The views expressed in this paper are those of the staff involved and do not necessarily reflect those of the Productivity Commission.
|Date of creation:||Mar 2010|
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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Robert Jäckle & Oliver Himmler, 2010.
"Health and Wages: Panel Data Estimates Considering Selection and Endogeneity,"
Journal of Human Resources,
University of Wisconsin Press, vol. 45(2).
- Robert Jäckle, 2007. "Health and Wages - Panel data estimates considering selection and endogeneity," ifo Working Paper Series Ifo Working Paper No. 43, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Jäckle, Robert & Himmler, Oliver, 2007. "Health and Wages - Panel data estimates considering selection and endogeneity," MPRA Paper 11578, University Library of Munich, Germany, revised Nov 2008.
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