Ramos, Arturo and Sanz-Gracia, Fernando (2015): US city size distribution revisited: Theory and empirical evidence.
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Abstract
We have developed an urban economic model in which a social planner maximizes the net output of the whole system of cities in a country in such a way that agents locate themselves in cities of different sizes. From this model we derive the new “threshold double Pareto Generalized Beta of the second kind”. In order to test the theory empirically, we have analysed the US urban system and have considered two types of data (incorporated places from 1900 to 2000 and all places in 2000 and 2010). The results are encouraging because the new distribution always outperforms the lognormal and the double Pareto lognormal. The results are robust to a number of different criteria. Thus, the new density function describes accurately the US city size distribution and, therefore, tends to support the validity of the theoretical model.
Item Type: | MPRA Paper |
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Original Title: | US city size distribution revisited: Theory and empirical evidence |
English Title: | US city size distribution revisited: Theory and empirical evidence |
Language: | English |
Keywords: | human capital; congestion costs; lower tail, body, and upper tail; Pareto and Generalized Beta of the second kind distributions |
Subjects: | C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C46 - Specific Distributions ; Specific Statistics D - Microeconomics > D3 - Distribution > D39 - Other R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics > R11 - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics > R12 - Size and Spatial Distributions of Regional Economic Activity |
Item ID: | 71928 |
Depositing User: | Arturo Ramos |
Date Deposited: | 13 Jun 2016 14:42 |
Last Modified: | 01 Oct 2019 10:53 |
References: | Batty, M. (2006). Rank clocks. Nature, 444(7119):592–596. Batty, M. (2013). The New Science of Cities. The MIT Press. Bee, M., Riccaboni,M., and Schiavo, S. (2013). The size distribution of US cities: Not Pareto, even in the tail. Economics Letters, 120:232–237. Beeson, P. E., DeJong, D. N., and Troesken, W. (2001). Population growth in US counties, 1840–1990. Regional Science and Urban Economics, 31(6):669–699. Berliant, M. and Watanabe, H. (2015). Explaining the size distribution of cities: Extreme economies. Quantitative Economics, 6:153–187. Berry, B. J. L. and Okulicz-Kozaryn, A. (2012). The city size distribution debate: Resolution for US urban regions and megalopolitan areas. Cities, 29:517–523. Bettencourt, L. and West, G. (2010). A unified theory of urban living. Nature, 4667:912–913. Black, D. and Henderson, V. (2003). Urban evolution in the USA. Journal of Economic Geography, 3(4):343–372. Blank, A. and Solomon, S. (2000). Power laws in cities population, financial markets and internet sites (scaling in systems with a variable number of components). Physica A, 289:279–288. Bosker,M., Brakman, S., Garretsen, H., and Schramm,M. (2008). A century of shocks: The evolution of the German city size distribution 1925–1999. Regional Science and Urban Economics, 38(4):330–347. Cirillo, P. (2013). Are your data really Pareto distributed? Physica A, 392:5947–5962. Combes, P. P. and Gobillon, L. (2015). The empirics of agglomeration economies. In Duranton, G., Henderson, V., and Strange,W. C., editors, Handbook of Regional and Urban Economics, forthcoming, volume 5. Elsevier. Córdoba, J. C. (2008). On the distribution of city sizes. Journal of Urban Economics, 63(1):177–197. Dagum, C. (1979). Generating systems and properties of income distribution models. In Conference of Canadian Incomes, May 10–12. Desmet, K. and Rappaport, J. (2015). The settlement of the United States, 1800– 2000: The long transition towards Gibrat’s Law. Journal of Urban Economics. DOI 10.1016/j.jue.2015.03.004. Eeckhout, J. (2004). Gibrat’s law for (all) cities. American Economic Review, 94(5):1429–1451. Fazio, G. and Modica, M. (2015). Pareto or log-normal? Best fit and truncation in the distribution of all cities. Journal of Regional Science, 55(5):736–756. Gabaix, X. (1999). Zipf’s law for cities: An explanation. Quarterly Journal of Economics, 114:739–767. Gabaix, X. and Ioannides, Y. (2004). The evolution of city size distributions. In Henderson, V. and Thisse, J. F., editors, Handbook of Regional and Urban Economics, volume 4, chapter 53, pages 2341–2378. Elsevier. Giesen, K. and Suedekum, J. (2014). City age and city size. European Economic Review, 71:193–208. Giesen, K., Zimmermann, A., and Suedekum, J. (2010). The size distribution across all cities–Double Pareto lognormal strikes. Journal of Urban Economics, 68(2):129–137. Glaeser, E. L. (2011). Triumph of the City. The Penguin Press. Glaeser, E. L., Gottlieb, J. D., and Tobio, K. (2012). Housing booms and city centers. NBER Working Paper No. 17914. Glaeser, E. L. and Resseger, M. G. (2010). The complementarity between cities and skills. Journal of Regional Science, 50(1):221–244. González-Val, R. (2010). The evolution of US city size distribution from a long term perspective (1900–2000). Journal of Regional Science, 50:952–972. González-Val, R., Ramos, A., Sanz-Gracia, F., and Vera-Cabello, M. (2015). Size distribution for all cities: Which one is best? Papers in Regional Science, 94(1):177–197. Hsu, W.-T. (2012). Central place theory and city size distribution. The Economic Journal, 122:903–932. Ioannides, Y.M. and Overman, H. G. (2004). Spatial evolution of the US urban system. Journal of Economic Geography, 4(2):131–156. Ioannides, Y. M. and Skouras, S. (2013). US city size distribution: Robustly Pareto, but only in the tail. Journal of Urban Economics, 73:18–29. Kim, S. (2000). Urban development in the United States, 1690–1990. Southern Economic Journal, 66(4):855–880. Kleiber, C. and Kotz, S. (2003). Statistical size distributions in Economics and actuarial sciences. Wiley-Interscience. Lee, S. and Li, Q. (2013). Uneven landscapes and city size distributions. Journal of Urban Economics, 78:19–29. Luckstead, J. and Devadoss, S. (2014). Do the world’s largest cities follow Zipf’s and Gibrat’s laws? Economics Letters, 125:182–186. McDonald, J. B. and Xu, Y. J. (1995). A generalization of the beta distribution with applications. Journal of Econometrics, 66:133–152. Melo, P., Graham, D., and Noland, R. (2009). A meta-analysis of estimates of urban agglomeration economies. Regional Science and Urban Economics, 39(3):332–342. Moretti, E. (2004). Human capital externalities in cities. In Henderson, V. and Thisse, J. F., editors, Handbook of Regional and Urban Economics, volume 4, chapter 51, pages 2243–2291. Elsevier. Overman, H. G. and Ioannides, Y. M. (2001). Cross-Sectional evolution of the US city size distribution. Journal of Urban Economics, 49(3):543–566. Parker, S. C. (1999). The generalised beta as a model for the distribution of earnings. Economics Letters, 62:197–200. Parr, J. B. (1985). A note on the size distribution of cities over time. Journal of Urban Economics, 18:199–212. Parr, J. B. and Suzuki, K. (1973). Settlement populations and the lognormal distribution. Urban Studies, 10(3):335–352. Puga, D. (2010). The magnitude and causes of agglomeration economies. Journal of Regional Science, 50(1):203–219. Rauch, J. E. (1993). Productivity gains from geographic concentration of human capital: Evidence from the cities. Journal of Urban Economics, 34(3):380–400. Razali, N. M. and Wah, Y. B. (2011). Power comparisons of Shapiro–Wilk, Kolmogorov–Smirnov, Lilliefors and Anderson–Darling tests. Journal of Statistical Modeling and Analytics, 2:21–33. Reed, W. J. (2002). On the rank-size distribution for human settlements. Journal of Regional Science, 42:1–17. Reed, W. J. (2003). The Pareto law of incomes–An explanation and an extension. Physica A, 319:469–486. Reed, W. J. and Jorgensen, M. (2004). The double Pareto-lognormal distribution–A new parametric model for size distributions. Communications in Statistics–Theory and Methods, 33(8):1733–1753. Resende, M. (2004). Gibrat’s Law and the Growth of Cities in Brazil: A Panel Data Investigation. Urban Studies, 41(8):1537–1549. Saiz, A. (2010). The geographic determinants of housing supply. The Quarterly Journal of Economics, 125(3):1253–1296. Soo, K. T. (2005). Zipf’s Law for cities: A cross-country investigation. Regional Science and Urban Economics, 35(3):239–263. Xu, Z. and Zhu, N. (2009). City size distribution in China: Are large cities dominant? Urban Studies, 46(10):2159–2185. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/71928 |
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US city size distribution revisited: Theory and empirical evidence. (deposited 01 May 2015 05:16)
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US city size distribution revisited: Theory and empirical evidence. (deposited 17 Oct 2015 11:21)
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US city size distribution revisited: Theory and empirical evidence. (deposited 17 Oct 2015 11:21)