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Urban growth in the long term : Belgium, 1880–1970

(2024) ANNALS OF REGIONAL SCIENCE. 72(3). p.881-902
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Abstract
We take advantage of a new data set on Belgian cities to test random growth, that is, Gibrat's law. This unique data set provides annual population estimates for all Belgian municipalities (2680 cities) from 1880 to 1970. The use of panel data methodology and unit root tests can provide a precise test of Gibrat's law (a unit root is equivalent to random growth). We run both time series and panel data unit root tests, thus obtaining strong support for random growth in the long term. Results hold when allowing for the presence of one and two structural breaks in the mean, with the timing of the breaks coinciding with some major historical events, such as the World Wars and the economic crisis of 1929-1933.
Keywords
R12, R11, O18, N93, C22, C12

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MLA
González-Val, Rafael, et al. “Urban Growth in the Long Term : Belgium, 1880–1970.” ANNALS OF REGIONAL SCIENCE, vol. 72, no. 3, 2024, pp. 881–902, doi:10.1007/s00168-023-01226-1.
APA
González-Val, R., Ramos, A., & Standaert, S. (2024). Urban growth in the long term : Belgium, 1880–1970. ANNALS OF REGIONAL SCIENCE, 72(3), 881–902. https://doi.org/10.1007/s00168-023-01226-1
Chicago author-date
González-Val, Rafael, Arturo Ramos, and Samuel Standaert. 2024. “Urban Growth in the Long Term : Belgium, 1880–1970.” ANNALS OF REGIONAL SCIENCE 72 (3): 881–902. https://doi.org/10.1007/s00168-023-01226-1.
Chicago author-date (all authors)
González-Val, Rafael, Arturo Ramos, and Samuel Standaert. 2024. “Urban Growth in the Long Term : Belgium, 1880–1970.” ANNALS OF REGIONAL SCIENCE 72 (3): 881–902. doi:10.1007/s00168-023-01226-1.
Vancouver
1.
González-Val R, Ramos A, Standaert S. Urban growth in the long term : Belgium, 1880–1970. ANNALS OF REGIONAL SCIENCE. 2024;72(3):881–902.
IEEE
[1]
R. González-Val, A. Ramos, and S. Standaert, “Urban growth in the long term : Belgium, 1880–1970,” ANNALS OF REGIONAL SCIENCE, vol. 72, no. 3, pp. 881–902, 2024.
@article{01H02JYN2QM7KGCJ5M20RCHAJH,
  abstract     = {{We take advantage of a new data set on Belgian cities to test random growth, that is, Gibrat's law. This unique data set provides annual population estimates for all Belgian municipalities (2680 cities) from 1880 to 1970. The use of panel data methodology and unit root tests can provide a precise test of Gibrat's law (a unit root is equivalent to random growth). We run both time series and panel data unit root tests, thus obtaining strong support for random growth in the long term. Results hold when allowing for the presence of one and two structural breaks in the mean, with the timing of the breaks coinciding with some major historical events, such as the World Wars and the economic crisis of 1929-1933.}},
  author       = {{González-Val, Rafael and Ramos, Arturo and Standaert, Samuel}},
  issn         = {{0570-1864}},
  journal      = {{ANNALS OF REGIONAL SCIENCE}},
  keywords     = {{R12,R11,O18,N93,C22,C12}},
  language     = {{eng}},
  number       = {{3}},
  pages        = {{881--902}},
  title        = {{Urban growth in the long term : Belgium, 1880–1970}},
  url          = {{http://doi.org/10.1007/s00168-023-01226-1}},
  volume       = {{72}},
  year         = {{2024}},
}

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