A Nonparametric analysis of the Personal Income Distribution across the Provinces and States in the U.S. and Canada

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.

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Year of publication:	2004
Authors:	Wang, Y.
Published in:	Regional and Sectoral Economic Studies. - Euro-American Association of Economic Development. - Vol. 4.2004, 1
Publisher:	Euro-American Association of Economic Development
Subject:	Convergence \| stochastic Kernel and Markov chains

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Type of publication:	Article
Language:	English
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005100199