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Optimal Technology and Development

  • Hernan J. Moscoso Boedo

    ()

Skill intensive technologies seem to be adopted by rich countries rather than poor ones. Related to that observation, the ratio of wages of skilled to unskilled workers - the skill premium - shows two important features over time and across countries. In the US the skill premium decreased during the first half of the 20th century and it increased after 1950, evolving according to a U shaped pattern. On the other hand, the same measure across countries around 1990 is hump shaped when countries are ordered by GDP per worker. By modeling the decisions for factor accumulation and technology adoption, this paper gives a systematic explanation as to why we see ever more skill intensive technologies being adopted both over time in the US and across countries. The model developed here endogenously generates predictions for the skill premium that are consistent with both the US and international observations under the same set of parameter values

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File URL: http://www.virginia.edu/economics/RePEc/vir/virpap/papers/virpap370.pdf
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Paper provided by University of Virginia, Department of Economics in its series Virginia Economics Online Papers with number 370.

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Length: 31 pages
Date of creation: Apr 2007
Date of revision:
Handle: RePEc:vir:virpap:370
Contact details of provider: Web page: http://www.virginia.edu/economics/home.html

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  1. Daron Acemoglu, 1998. "Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality," The Quarterly Journal of Economics, Oxford University Press, vol. 113(4), pages 1055-1089.
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  16. Funk, Peter & Vogel, Thorsten, 2004. "Endogenous skill bias," Journal of Economic Dynamics and Control, Elsevier, vol. 28(11), pages 2155-2193, October.
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  19. Papageorgiou, Chris & Perez-Sebastian, Fidel, 2006. "Dynamics in a non-scale R&D growth model with human capital: Explaining the Japanese and South Korean development experiences," Journal of Economic Dynamics and Control, Elsevier, vol. 30(6), pages 901-930, June.
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