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The size and growth of state populations in the United States

Author

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  • Kwok Tong Soo

    () (Lancaster University)

Abstract

This paper explores the population distribution across U.S. states over time. We test for Zipf's Law on the size distribution of state populations and Gibrat's Law for the growth of state populations. State populations follow a lognormal distribution more closely than they do a Zipf or Pareto distribution. State population growth is negatively related to current state population in the 19th century but not in the 20th century, and is positively related to market potential in the 20th century but not in the 19th century.

Suggested Citation

  • Kwok Tong Soo, 2012. "The size and growth of state populations in the United States," Economics Bulletin, AccessEcon, vol. 32(2), pages 1238-1249.
  • Handle: RePEc:ebl:ecbull:eb-11-00689
    as

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    File URL: http://www.accessecon.com/Pubs/EB/2012/Volume32/EB-12-V32-I2-P118.pdf
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    References listed on IDEAS

    as
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    Cited by:

    1. Kuninori Nakagawa, 2016. "Municipal sizes and municipal restructuring in Japan," Letters in Spatial and Resource Sciences, Springer, vol. 9(1), pages 27-41, March.
    2. Kwok Tong Soo, 2015. "Innovation across cities," Working Papers 100098721, Lancaster University Management School, Economics Department.
    3. Guohua Peng & Fan Xia, 2016. "The size distribution of exporting and non-exporting firms in a panel of Chinese provinces," Papers in Regional Science, Wiley Blackwell, vol. 95, pages 71-85, March.

    More about this item

    Keywords

    Zipf's Law; Gibrat's Law; US states; dynamic panel data models;

    JEL classification:

    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics

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