The Evolution of the Conditional Joint Distribution of Life Expectancy and Per Capita Income Growth
AbstractIn 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 time
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Bibliographic InfoPaper provided by University of Guelph, Department of Economics and Finance in its series Working Papers with number 0901.
Length: 36 pages
Date of creation: 2009
Date of revision:
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
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