Cross-sectional growth in US cities from 1990 to 2000
AbstractThis 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 (1152 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 non-linear behaviour.
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Bibliographic InfoPaper provided by Institut d'Economia de Barcelona (IEB) in its series Working Papers with number 2014/17.
Length: 38 pages
Date of creation: 2014
Date of revision:
City growth; linear model; spatial lag model; spatial error model; spatial quantile regression;
Find related papers by JEL classification:
- R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
- R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
This paper has been announced in the following NEP Reports:
- NEP-ALL-2014-04-18 (All new papers)
- NEP-GEO-2014-04-18 (Economic Geography)
- NEP-GRO-2014-04-18 (Economic Growth)
- NEP-URE-2014-04-18 (Urban & Real Estate Economics)
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- Joachim Zietz & Emily Zietz & G. Sirmans, 2008.
"Determinants of House Prices: A Quantile Regression Approach,"
The Journal of Real Estate Finance and Economics,
Springer, vol. 37(4), pages 317-333, November.
- Joachim Zietz & Emily N. Zietz & G. Stacy Sirmans., 2007. "Determinants of House Prices: A Quantile Regression Approach," Working Papers 200706, Middle Tennessee State University, Department of Economics and Finance.
- Siqi Zheng & Yuming Fu & Hongyu Liu, 2009. "Demand for Urban Quality of Living in China: Evolution in Compensating Land-Rent and Wage-Rate Differentials," The Journal of Real Estate Finance and Economics, Springer, vol. 38(3), pages 194-213, April.
- Philip Kostov, 2009. "A Spatial Quantile Regression Hedonic Model of Agricultural Land Prices," Spatial Economic Analysis, Taylor & Francis Journals, vol. 4(1), pages 53-72.
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