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

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... Mehr ...

Verfasser: González-Val, Rafael
Ramos, Arturo
Standaert, Samuel
Dokumenttyp: journalarticle
Erscheinungsdatum: 2024
Schlagwörter: Business and Economics / R12 / R11 / O18 / N93 / C22 / C12
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26601495
Datenquelle: BASE; Originalkatalog
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Link(s) : https://biblio.ugent.be/publication/01H02JYN2QM7KGCJ5M20RCHAJH

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.