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Cross-sectional growth in US cities from 1990 to 2000

Rafael González-Val ()

Journal of Geographical Systems, 2015, vol. 17, issue 1, 83-106

Abstract: This paper analyses the growth of American cities, understood as the growth of the population or of the per capita income, from 1990 to 2000. This empirical analysis uses data from all the cities (incorporated places) with more than 25,000 inhabitants in the year 2000 (1,152 cities). The results show that while common convergence behaviour is observed in both population and per capita income growth, there are differences in the evolution of the distributions: the population distribution remains almost unchanged, while the per capita income distribution makes a great movement to the right. We use two different methodologies to test cross-sectional convergence across cities: linear growth models (allowing for spatial spillovers between locations) and spatial quantile regressions. We find evidence of significant spatial effects and nonlinear behaviour. Copyright Springer-Verlag Berlin Heidelberg 2015

Keywords: City growth; Linear model; Spatial lag model; Spatial error model; Spatial quantile regression; R00; R11; R12 (search for similar items in EconPapers)
Date: 2015
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Working Paper: Cross-sectional growth in US cities from 1990 to 2000 (2014) Downloads
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