A Nonparametric analysis of the Personal Income Distribution across the Provinces and States in the U.S. and Canada
Abstract
A nonparametric stochastic kernel and Markov transition probability matrixes are used in this paper to investigate the per capita personal income distribution and how it evolved over the period 1950 - 2000 across the 59 provinces and states in the U.S. and Canada. Empirical evidence confirms club convergence (multi-modality) of the per capita personal income levels across the provinces and states in the U.S. and Canada over the entire study period.Download Info
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Article provided by Euro-American Association of Economic Development in its journal Regional and Sectoral Economic Studies.
Volume (Year): 4 (2004)
Issue (Month): 1 ()
Pages:
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Handle: RePEc:eaa:eerese:v:4:y2004:i:4_1
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Keywords: Convergence; stochastic Kernel and Markov chains;References
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- Gerencia de Riesgo Asobancaria - CIFIN, . "Estimación de la Carga Financiera en Colombia," Temas de Estabilidad Financiera 056, Banco de la Republica de Colombia.
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