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Is there a universal parametric city size distribution? Empirical evidence for 70 countries

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Abstract

We studied the parametric description of the city size distribution (CSD) of 70 different countries (developed and developing) using seven models, as follows: the lognormal (LN), the loglogistic (LL), the double Pareto lognormal (dPLN), the two-lognormal (2LN), the two-loglogistic (2LL), the three-lognormal (3LN) and the three-loglogistic (3LL). Our results show that 3LN and 3LL are the best densities in terms of non-rejections out of standard statistical tests. Meanwhile, according to the information criteria AIC and BIC, there is no systematically dominant distribution.

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Notes

  1. Data from the World Bank for the year 2011.

  2. The log-likelihoods of the 2LN and 3LN can be maximized in a relatively simple way by an Expectation-Minimization (EM) algorithm (see, e.g, McLachlan and Krishnan (2008)). However, the results are the same to the approach taken here up to, say, a precision of \(10^{-4}\).

  3. We have taken this idea from an anonymous referee. We thank them for such an appropriate observation.

  4. In this line of reasoning, Pumain et al. (2015) also emphasize that, apart from the time period and some non-essential peculiarities, the urbanization process of the BRICS resembles that of Europe and the United States.

References

  • Bǎncescu I, Chivu L, Preda V, Puente-Ajovín M, Ramos A (2019) Comparisons of log-normal mixture and pareto tails, GB2 or log-normal body of Romania’s all cities size distribution. Phys A Stat Mech Appl 526:121017

    Article  Google Scholar 

  • Eeckhout J (2004) Gibrat’s law for (all) cities. Am Econ Rev 94(5):1429–1451

    Article  Google Scholar 

  • Efron B, Hinkley DV (1978) Assessing the accuracy of the maximum likelihood estimator: observed versus expected Fisher information. Biometrika 65(3):457–482

    Article  Google Scholar 

  • Fay M, Opal C (1999) Urbanization without growth: a not-so-uncommon phenomenon. The World Bank, Washington, DC

    Book  Google Scholar 

  • Fisk PR (1961) The graduation of income distributions. Econometrica 29(2):171–185

    Article  Google Scholar 

  • Giesen K, Zimmermann A, Suedekum J (2010) The size distribution across all cities-double Pareto lognormal strikes. J Urban Econ 68(2):129–137

    Article  Google Scholar 

  • Gollin D, Jedwab R, Vollrath D (2016) Urbanization with and without industrialization. J Econ Growth 21(1):35–70

    Article  Google Scholar 

  • González-Val R, Ramos A, Sanz-Gracia F (2013) The accuracy of graphs to describe size distributions. Appl Econ Lett 20(17):1580–1585

    Article  Google Scholar 

  • González-Val R, Ramos A, Sanz-Gracia F, Vera-Cabello M (2015) Size distributions for all cities: which one is best? Pap Reg Sci 94(1):177–196

    Google Scholar 

  • Henderson V (2003) The urbanization process and economic growth: the so-what question. J Econ Growth 8(1):47–71

    Article  Google Scholar 

  • Hsu WT (2012) Central place theory and city size distribution. Econ J 122(563):903–932

    Article  Google Scholar 

  • Jedwab R, Vollrath D (2015) Urbanization without growth in historical perspective. Explor Econ Hist 58(C):1–21

    Article  Google Scholar 

  • Kwong HS, Nadarajah S (2019) A note on “Pareto tails and lognormal body of US cities size distribution”. Phys A Stat Mech Appl 513(C):55–62

    Article  Google Scholar 

  • Lagarias JC, Reeds JA, Wright MH, Wright PE (1998) Convergence properties of the Nelder–Mead simplex method in low dimensions. SIAM J Optim 9(1):112–147

    Article  Google Scholar 

  • Luckstead J, Devadoss S (2017) Pareto tails and lognormal body of US cities size distribution. Phys A Stat Mech Appl 465(C):573–578

    Article  Google Scholar 

  • Malevergne Y, Pisarenko V, Sornette D (2011) Testing the Pareto against the lognormal distributions with the uniformly most powerful unbiased test applied to the distribution of cities. Phys Rev E 83(3):036111

    Article  Google Scholar 

  • McCullough BD, Vinod HD (2003) Verifying the solution from a nonlinear solver: a case study. Am Econ Rev 93(3):873–892

    Article  Google Scholar 

  • McGranahan G, Martine G (2014) Urban growth in emerging economies: lessons from the BRICS. Routledge, London

    Book  Google Scholar 

  • McLachlan G, Krishnan T (2008) The EM algorithm and extensions, 2nd edn. Wiley, New York

    Book  Google Scholar 

  • Northam RM (1979) Urban geography. Wiley, New York

    Google Scholar 

  • Parr J, Suzuki K (1973) Settlement populations and the lognormal distribution. Urban Stud 10(3):335–352

    Article  Google Scholar 

  • Puente-Ajovín M, Ramos A (2015) On the parametric description of the French, German, Italian and Spanish city size distributions. Ann Reg Sci 54:489–509

    Article  Google Scholar 

  • Pumain D, Swerts E, Cottineau C, Vacchiani-Marcuzzo C, Ignazzi CA, Bretagnolle A, Delisle F, Cura R, Lizzi L, Baffi S (2015) Multilevel comparison of large urban systems. Cybergeo Eur J Geogr. https://doi.org/10.4000/cybergeo.26730

    Article  Google Scholar 

  • Razali NM, Wah YB (2011) Power comparisons of Shapiro–Wilk, Kolmogorov–Smirnov, Lilliefors and Anderson–Darling tests. J Stat Model Anal 2:21–33

    Google Scholar 

  • Reed WJ (2002) On the rank-size distribution for human settlements. J Reg Sci 42:1–17

    Article  Google Scholar 

  • Reed WJ (2003) The Pareto law of incomes–an explanation and an extension. Phys A Stat Mech Appl 319:469–486

    Article  Google Scholar 

  • Reed WJ, Jorgensen M (2004) The double Pareto-lognormal distribution–a new parametric model for size distributions. Commun Stat Theory Methods 33(8):1733–1753

    Article  Google Scholar 

  • Rosen KT, Resnick M (1980) The size distribution of cities: an examination of the Pareto law and primacy. J Urban Econ 8(2):165–186

    Article  Google Scholar 

  • Rozenfeld HD, Rybski D, Gabaix X, Makse HA (2011) The area and population of cities: new insights from a different perspective on cities. Am Econ Rev 101(5):2205–25

    Article  Google Scholar 

  • Su HL (2020) On the city size distribution: a finite mixture interpretation. J Urban Econ 116:103216

    Article  Google Scholar 

  • Zelinsky W (1971) The hypothesis of the mobility transition. Geogr Rev 61(2):219–249

    Article  Google Scholar 

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Acknowledgements

Financial support from Ministerio de Economía y Competitividad (ECO2017-82246-P) and support by Aragon Government (ADETRE Consolidated Group) is acknowledged.

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Correspondence to Miguel Puente-Ajovín.

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Puente-Ajovín, M., Ramos, A. & Sanz-Gracia, F. Is there a universal parametric city size distribution? Empirical evidence for 70 countries. Ann Reg Sci 65, 727–741 (2020). https://doi.org/10.1007/s00168-020-01001-6

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