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W. James Smith

Researcher at University of Colorado Denver

Publications -  40
Citations -  1004

W. James Smith is an academic researcher from University of Colorado Denver. The author has contributed to research in topics: Stochastic dominance & Income distribution. The author has an hindex of 17, co-authored 40 publications receiving 965 citations.

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Envy, malice and Pareto efficiency: An experimental examination

TL;DR: This paper uses experimental and multinomial logit techniques to estimate the effects of envy and malice in economic decisions involving Pareto efficiency, turning out to be powerful motivations with strong differential impacts across countries and relative positions.
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Mobility measurement,transition matrices and statistical inference

TL;DR: In this article, the authors developed statistical inference procedures for testing income mobility with transition matrices and applied them to income mobility in the U.S. and Germany using the Panel Study of Income Dynamics and German Socio-Economic Panel data.
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Lorenz Dominance and Welfare: Changes in the U.S. Distribution of Income, 1967-1986

TL;DR: This paper examined income inequality in the United States over the period 1967-86 using recently developed tests for differences in Lorenz curves and found that the Lorenz dominance principle is more empirically relevant than previously thought.
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International Comparisons of Income Inequality: Tests for Lorenz Dominance Across Nine Countries

TL;DR: In this article, the authors examined income inequality across nine countries using the Luxembourg Income Study data set and provided an exceptionally clear picture of relative income inequality using new statistical tests and comparability of data.
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A comparison of two new measures of tax progressivity

TL;DR: Kakwani and Suits as mentioned in this paper developed new measures of the degree of tax progression, which are related to the Gini ratio of income inequality and are distinct from conventional elasticity measures of progressivity in that each yields a summary statistic.