On Simplifying the Structure of Labour Demand: An Analysis of the DOT Data
We analyse the information in the Dictionary of Occupational Titles to characterize the structure of labour demand. Two dimensions, an intellectual factor and a dexterity factor capture most variation in job requirements. Job complexity in relation to Things correlates highly with the dexterity factor. Complexity in relation to Data is intricately interwoven with most other dimensions of jobs. Remarkably, while complexity in relation to Data and to Things associates with extensive training, this does not hold for complexity in relation to People. There is no dichotomy between mathematical and verbal required skills. Poor working conditions are not the exclusive prerogative for workers in low level jobs. This independence provides a good setting for testing the theory of compensating wage differentials and indeed we find a good deal of support.
|Date of creation:||Oct 2005|
|Date of revision:|
|Publication status:||published in: Applied Economics, 2010, 42(13), 1747-1760|
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References listed on IDEAS
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- Richard J. Murnane & John B. Willett & Frank Levy, 1995.
"The Growing Importance of Cognitive Skills in Wage Determination,"
NBER Working Papers
5076, National Bureau of Economic Research, Inc.
- Murnane, Richard J & Willett, John B & Levy, Frank, 1995. "The Growing Importance of Cognitive Skills in Wage Determination," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 251-66, May.
- Lucas, Robert E B, 1977. "Hedonic Wage Equations and Psychic Wages in the Returns to Schooling," American Economic Review, American Economic Association, vol. 67(4), pages 549-58, September.
- Charles Brown, 1980. "Equalizing Differences in the Labor Market," The Quarterly Journal of Economics, Oxford University Press, vol. 94(1), pages 113-134.
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