The Evolution of the Conditional Joint Distribution of Life Expectancy and Per Capita Income Growth
Abstract
In this paper we investigate the joint conditional distribution of health (life expectancy) and income growth and its evolution over time. The conditional distributions of these two variables are obtained by applying nonparametric methods to a bivariate nonparametric regression system of equations. Analyzing the distributions of the nonparametric fitted values from these models we find strong evidence of movement over time and strong evidence of first-order stochastic dominance of the earlier years over the later ones. We also find strong evidence of second-order stochastic dominance by non-OECD countries over OECD countries in each period. Our results complement the findings of Wu, Savvides and Stengos (2008) who explored the unconditional behaviour of these joint distributions over timeDownload Info
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Paper provided by University of Guelph, Department of Economics in its series Working Papers with number 0901.Length: 36 pages
Date of creation: 2009
Date of revision:
Handle: RePEc:gue:guelph:2009-1
Contact details of provider:
Postal: Guelph, Ontario, N1G 2W1
Phone: (519) 824-4120 ext. 53898
Fax: (519) 763-8497
Web page: http://www.economics.uoguelph.ca/index.htm
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Related research
Keywords: Income; Health; Global Distribution; Inequality; Poverty;Find related papers by JEL classification:
- O1 - Economic Development, Technological Change, and Growth - - Economic Development
- O15 - Economic Development, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
- O57 - Economic Development, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-02-22 (All new papers)
- NEP-HEA-2009-02-22 (Health Economics)
References
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