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

Y. Wang

Regional and Sectoral Economic Studies, 2004, vol. 4, issue 1

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.

Keywords: Convergence; stochastic Kernel and Markov chains (search for similar items in EconPapers)
Date: 2004
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