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Published in: The Annals of Regional Science 2/2015

01-03-2015 | Original Paper

On the parametric description of the French, German, Italian and Spanish city size distributions

Authors: Miguel Puente-Ajovín, Arturo Ramos

Published in: The Annals of Regional Science | Issue 2/2015

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Abstract

We study the parametric description of the city size distribution of four European countries: France, Germany, Italy and Spain. The parametric models used are the lognormal, the double Pareto lognormal, the normal-Box–Cox and the threshold double Pareto Singh–Maddala (last two of these are defined in this paper). The results are quite regular. The preferred model is always the threshold double Pareto Singh–Maddala in the four countries. However, the dPln is not rejected always for the case of France, and in the case of Italy, the dPln is the runner-up distribution.

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Footnotes
1
We have the data for Italian comuni on the whole period 1901–2011 in, generally decennial, intervals. Likewise we have the data for Spanish municipios for the whole period 1900–2010. The results for the years not shown in this paper, for the sake of brevity, are similar to those reported, and they are available from the authors upon request.
 
2
The \(f_{\mathrm{SM}}\) is directly related to the Burr Type XII distribution (Burr 1942). See also Kleiber and Kotz (2003).
 
3
We have performed the estimations with MATLAB as in González-Val et al. (2013c) and Ramos et al. (2014). The standard errors are computed as indicated in Efron and Hinkley (1978) and McCullough and Vinod (2003).
 
4
The estimations are close to those obtained by Giesen and Suedekum (2012) although not equal as they take the data for the year 2008 which are not at our disposal.
 
5
We have checked that these \(\mathrm{msd}\) and \(R^2\) metrics provide essentially the same results for our distributions and the whole range of populations and cities even for a very low number of generated samples, for example, 10 or 20. This is because we generate samples of the same size of the empirical samples covering all of the cities, not only the upper tail. We have chosen a number of generated samples reasonably high enough while maintaining computational feasibility.
 
6
The results for the AIC and BIC of the lgn and the dPln for France are qualitatively similar to those of Giesen and Suedekum (2012).
 
7
We have computed the standard errors following the procedure of Efron and Hinkley (1978) and McCullough and Vinod (2003).
 
8
In Giesen and Suedekum (2012), it has already been pointed out that Paris is a remarkable outlier for the Pareto distribution at the upper tail.
 
9
The details are available from the authors upon request.
 
Literature
go back to reference Anderson G, Ge Y (2005) The size distribution of Chinese cities. Reg Sci Urban Econ 35(6):756–776CrossRef Anderson G, Ge Y (2005) The size distribution of Chinese cities. Reg Sci Urban Econ 35(6):756–776CrossRef
go back to reference Black D, Henderson V (2003) Urban evolution in the USA. J Econ Geogr 3(4):343–372CrossRef Black D, Henderson V (2003) Urban evolution in the USA. J Econ Geogr 3(4):343–372CrossRef
go back to reference Bosker M, Brakman S, Garretsen H, Schramm M (2008) A century of shocks: the evolution of the German city size distribution 1925–1999. Reg Sci Urban Econ 38(4):330–347CrossRef Bosker M, Brakman S, Garretsen H, Schramm M (2008) A century of shocks: the evolution of the German city size distribution 1925–1999. Reg Sci Urban Econ 38(4):330–347CrossRef
go back to reference Box G, Cox D (1964) An analysis of transformations. J R Stat Soc Ser B 26:211–252 Box G, Cox D (1964) An analysis of transformations. J R Stat Soc Ser B 26:211–252
go back to reference Burnham K, Anderson D (2002) Model selection and multimodel inference: a practical information-theoretic approach. Springer, New York Burnham K, Anderson D (2002) Model selection and multimodel inference: a practical information-theoretic approach. Springer, New York
go back to reference Burnham K, Anderson D (2004) Multimodel inference: understanding AIC and BIC in model selection. sociol methods res 33:261–304CrossRef Burnham K, Anderson D (2004) Multimodel inference: understanding AIC and BIC in model selection. sociol methods res 33:261–304CrossRef
go back to reference Champernowne D (1953) A model of income distribution. Econ J 63(250):318–351CrossRef Champernowne D (1953) A model of income distribution. Econ J 63(250):318–351CrossRef
go back to reference Drukker D, Wiggins V (2004) Verifying the solution from a nonlinear solver: a case study: comment. Am Econ Rev 94(1):397–399CrossRef Drukker D, Wiggins V (2004) Verifying the solution from a nonlinear solver: a case study: comment. Am Econ Rev 94(1):397–399CrossRef
go back to reference Duranton G (2007) Urban evolutions: the fast, the slow, and the still. Am Econ Rev 97(1):197–221CrossRef Duranton G (2007) Urban evolutions: the fast, the slow, and the still. Am Econ Rev 97(1):197–221CrossRef
go back to reference Eeckhout J (2004) Gibrat’s law for (all) cities. Am Econ Rev 94(5):1429–1451CrossRef Eeckhout J (2004) Gibrat’s law for (all) cities. Am Econ Rev 94(5):1429–1451CrossRef
go back to reference Efron B, Hinkley D (1978) Assessing the accuracy of the maximum likelihood estimator: observed versus expected Fisher information. Biometrika 65(3):457–482CrossRef Efron B, Hinkley D (1978) Assessing the accuracy of the maximum likelihood estimator: observed versus expected Fisher information. Biometrika 65(3):457–482CrossRef
go back to reference Giesen K, Suedekum J (2012) The French overall city size distribution. Reg Dev 36:107–126 Giesen K, Suedekum J (2012) The French overall city size distribution. Reg Dev 36:107–126
go back to reference Giesen K, Suedekum J (2014) City age and city size. Eur Econ Rev 71:193–208CrossRef Giesen K, Suedekum J (2014) City age and city size. Eur Econ Rev 71:193–208CrossRef
go back to reference Giesen K, Zimmermann A, Suedekum J (2010) The size distribution across all cities-double Pareto lognormal strikes. J Urban Econ 68(2):129–137CrossRef Giesen K, Zimmermann A, Suedekum J (2010) The size distribution across all cities-double Pareto lognormal strikes. J Urban Econ 68(2):129–137CrossRef
go back to reference González-Val R, Lanaspa L, Sanz-Gracia F (2013a) Gibrat’s law for cities, growth regressions and sample size. Econ Lett 118:367–369CrossRef González-Val R, Lanaspa L, Sanz-Gracia F (2013a) Gibrat’s law for cities, growth regressions and sample size. Econ Lett 118:367–369CrossRef
go back to reference González-Val R, Ramos A, Sanz-Gracia F (2013b) The accuracy of graphs to describe size distributions. Appl Econ Lett 20(17):1580–1585CrossRef González-Val R, Ramos A, Sanz-Gracia F (2013b) The accuracy of graphs to describe size distributions. Appl Econ Lett 20(17):1580–1585CrossRef
go back to reference González-Val R, Ramos A, Sanz-Gracia F, Vera-Cabello M (2013c) Size distribution for all cities: which one is best? Pap Reg Sci (Forthcoming). doi:10.1111/pirs.12037 González-Val R, Ramos A, Sanz-Gracia F, Vera-Cabello M (2013c) Size distribution for all cities: which one is best? Pap Reg Sci (Forthcoming). doi:10.​1111/​pirs.​12037
go back to reference Ioannides Y, Overman H (2003) Zipf’s law for cities: an empirical examination. Reg Sci Urban Econ 33(2):127–137CrossRef Ioannides Y, Overman H (2003) Zipf’s law for cities: an empirical examination. Reg Sci Urban Econ 33(2):127–137CrossRef
go back to reference Ioannides Y, Skouras S (2013) US city size distribution: Robustly Pareto, but only in the tail. J Urban Econ 73:18–29CrossRef Ioannides Y, Skouras S (2013) US city size distribution: Robustly Pareto, but only in the tail. J Urban Econ 73:18–29CrossRef
go back to reference Kleiber C, Kotz S (2003) Statistical size distributions in economics and actuarial sciences. Wiley-Interscience, HobokenCrossRef Kleiber C, Kotz S (2003) Statistical size distributions in economics and actuarial sciences. Wiley-Interscience, HobokenCrossRef
go back to reference McCullough B, Vinod H (2003) Verifying the solution from a nonlinear solver: a case study. Am Econ Rev 93(3):873–892CrossRef McCullough B, Vinod H (2003) Verifying the solution from a nonlinear solver: a case study. Am Econ Rev 93(3):873–892CrossRef
go back to reference McCullough B, Vinod H (2004) Verifying the solution from a nonlinear solver: a case study: reply. Am Econ Rev 94(1):400–403CrossRef McCullough B, Vinod H (2004) Verifying the solution from a nonlinear solver: a case study: reply. Am Econ Rev 94(1):400–403CrossRef
go back to reference Pareto V (1896) Cours d’economie politique. Droz, Geneva Pareto V (1896) Cours d’economie politique. Droz, Geneva
go back to reference Parr J, Suzuki K (1973) Settlement populations and the lognormal distribution. Urban Stud 10(3):335–352CrossRef Parr J, Suzuki K (1973) Settlement populations and the lognormal distribution. Urban Stud 10(3):335–352CrossRef
go back to reference Razali N, Wah Y (2011) Power comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors and Anderson-Darling tests. J Stat Model Anal 2:21–33 Razali N, Wah Y (2011) Power comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors and Anderson-Darling tests. J Stat Model Anal 2:21–33
go back to reference Reed W (2002) On the rank-size distribution for human settlements. J Reg Sci 42:1–17CrossRef Reed W (2002) On the rank-size distribution for human settlements. J Reg Sci 42:1–17CrossRef
go back to reference Reed W (2003) The Pareto law of incomes-an explanation and an extension. Phys A 319:469–486CrossRef Reed W (2003) The Pareto law of incomes-an explanation and an extension. Phys A 319:469–486CrossRef
go back to reference Reed W, Jorgensen M (2004) The double Pareto-lognormal distribution-a new parametric model for size distributions. Commun Stat Theory Methods 33(8):1733–1753CrossRef Reed W, Jorgensen M (2004) The double Pareto-lognormal distribution-a new parametric model for size distributions. Commun Stat Theory Methods 33(8):1733–1753CrossRef
go back to reference Rozenfeld H, Rybski D, Andrade J, Batty M, Stanley H, Makse H (2008) Laws of population growth. Proc Nat Acad Sci 105(48):18702–18707CrossRef Rozenfeld H, Rybski D, Andrade J, Batty M, Stanley H, Makse H (2008) Laws of population growth. Proc Nat Acad Sci 105(48):18702–18707CrossRef
go back to reference Rozenfeld H, Rybski D, Gabaix X, Makse H (2011) The area and population of cities: new insights from a different perspective on cities. Am Econ Rev 101:2205–2225CrossRef Rozenfeld H, Rybski D, Gabaix X, Makse H (2011) The area and population of cities: new insights from a different perspective on cities. Am Econ Rev 101:2205–2225CrossRef
go back to reference Schluter C, Trede (2013) Gibrat, Zipf, Fisher and Tippet: city size and growth distributions reconsidered. In: Working paper 27/2013 center for quantitative economics WWU Münster Schluter C, Trede (2013) Gibrat, Zipf, Fisher and Tippet: city size and growth distributions reconsidered. In: Working paper 27/2013 center for quantitative economics WWU Münster
go back to reference Shachar R, Nalebuff B (2004) Verifying the solution from a nonlinear solver: a case study: comment. Am Econ Rev 94(1):382–390CrossRef Shachar R, Nalebuff B (2004) Verifying the solution from a nonlinear solver: a case study: comment. Am Econ Rev 94(1):382–390CrossRef
go back to reference Singh S, Maddala G (1976) A function for size distribution of incomes. Econometrica 44(5):963–970CrossRef Singh S, Maddala G (1976) A function for size distribution of incomes. Econometrica 44(5):963–970CrossRef
go back to reference Soo K (2005) Zipf’s Law for cities: a cross-country investigation. Reg Sci Urban Econ 35(3):239–263CrossRef Soo K (2005) Zipf’s Law for cities: a cross-country investigation. Reg Sci Urban Econ 35(3):239–263CrossRef
go back to reference Zipf G (1949) Human behavior and the principle of least effort. Addison-Wesley Press, Cambridge Zipf G (1949) Human behavior and the principle of least effort. Addison-Wesley Press, Cambridge
Metadata
Title
On the parametric description of the French, German, Italian and Spanish city size distributions
Authors
Miguel Puente-Ajovín
Arturo Ramos
Publication date
01-03-2015
Publisher
Springer Berlin Heidelberg
Published in
The Annals of Regional Science / Issue 2/2015
Print ISSN: 0570-1864
Electronic ISSN: 1432-0592
DOI
https://doi.org/10.1007/s00168-015-0663-3

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