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The size distribution across all "Cities": a unifying approach

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  • Giesen, Kristian
  • Suedekum, Jens

Abstract

Older cities in the US tend to be larger than younger ones. The distribution of city sizes is, therefore, systematically related to the country's city age distribution. We introduce endogenous city creation into a dynamic economic model of an urban system. All cities exhibit the same long-run growth rate (Gibrat's law), but young cities initially grow faster. The double Pareto lognormal (DPLN) emerges as the city size distribution in our model. The DPLN unifies the lognormal and the Pareto distribution (Zipf's law), and closely fits US city size data. This evidence can potentially resolve several debates from the recent literature.

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  • Giesen, Kristian & Suedekum, Jens, 2012. "The size distribution across all "Cities": a unifying approach," LSE Research Online Documents on Economics 59252, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:59252
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    1. Sánchez-Vidal, María & González-Val, Rafael & Viladecans-Marsal, Elisabet, 2014. "Sequential city growth in the US: Does age matter?," Regional Science and Urban Economics, Elsevier, vol. 44(C), pages 29-37.
    2. Rafael González-Val & Arturo Ramos & Fernando Sanz-Gracia & María Vera-Cabello, 2015. "Size distributions for all cities: Which one is best?," Papers in Regional Science, Wiley Blackwell, vol. 94(1), pages 177-196, March.
    3. Kristian GIESEN & Jens SÜDEKUM, 2012. "The French Overall City Size Distribution," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 36, pages 107-126.
    4. Kwong, Hok Shing & Nadarajah, Saralees, 2019. "A note on “Pareto tails and lognormal body of US cities size distribution”," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 55-62.
    5. Sánchez-Vidal, María & González-Val, Rafael & Viladecans-Marsal, Elisabet, 2014. "Sequential city growth in the US: Does age matter?," Regional Science and Urban Economics, Elsevier, vol. 44(C), pages 29-37.
    6. Alexander S. Skorobogatov, 2014. "An Ongoing Reversal Of Fortune Among Russian Cities: City Age, Natural Resources, And Changing Spatial Income Distribution," HSE Working papers WP BRP 60/EC/2014, National Research University Higher School of Economics.
    7. Valente J. Matlaba & Mark J. Holmes & Philip McCann & Jacques Poot, 2013. "A Century Of The Evolution Of The Urban System In Brazil," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 25(3), pages 129-151, November.
    8. Ferdinand Rauch, 2014. "Cities as spatial clusters," Journal of Economic Geography, Oxford University Press, vol. 14(4), pages 759-773.
    9. Gilberto Seravalli, 2016. "Dimensioni e crescita delle citt? in Europa: l?incertezza danneggia soprattutto le citt? medie," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2016(2), pages 91-108.
    10. González-Val, Rafael & Ramos, Arturo & Sanz-Gracia, Fernando, 2010. "On the best functions to describe city size distributions," MPRA Paper 21921, University Library of Munich, Germany.

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    More about this item

    Keywords

    Zipf's law; Gibrat's law; city size distributions; city age; DPLN distribution;
    All these keywords.

    JEL classification:

    • N0 - Economic History - - General

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