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Time-Series Based Empirical Assessment of Random Urban Growth: New Evidence from France

dc.rights.licenseopenen_US
hal.structure.identifierGroupe de Recherche en Economie Théorique et Appliquée [GREThA]
dc.contributor.authorLALANNE, Aurelie
IDREF: 111880807
hal.structure.identifierGroupe de Recherche en Economie Théorique et Appliquée [GREThA]
dc.contributor.authorZUMPE, Martin
IDREF: 120199947
dc.date.accessioned2020-06-05T11:22:28Z
dc.date.available2020-06-05T11:22:28Z
dc.date.issued2020-05-09
dc.identifier.issn0971-1554en_US
dc.identifier.urioai:crossref.org:10.1007/s40953-020-00204-0
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/7774
dc.description.abstractEnModern urban growth literature frequently uses unit-root tests in order to check the empirical relevance of Gibrat’s law of random growth. The contradictory nature of the test results provided by this literature is most likely linked to the low power of unit-root tests. To address this problem, we apply unit-root testing to a large-sized sample of high-quality French census data covering an exceptionally long time span of more than two centuries. We add subsequent cointegration tests in order to detect the possible presence of cointegrated random growth, which may reflect the fact that cities with a similar economic structure react fairly similarly to exogenous growth shocks. According to the test results, the random growth hypothesis cannot be rejected for a very large majority of the tested French cities; on the other hand, the null hypothesis of absence of cointegration cannot be rejected in more than 95% of the cases. Our findings therefore provide empirical support for non-cointegrated random growth.
dc.language.isoENen_US
dc.sourcecrossref
dc.subject.enGibrat’s law
dc.subject.enUnit-root tests
dc.subject.enCointegration tests
dc.subject.enRandom urban growth
dc.subject.enLow test power
dc.titleTime-Series Based Empirical Assessment of Random Urban Growth: New Evidence from France
dc.typeArticle de revueen_US
dc.identifier.doi10.1007/s40953-020-00204-0en_US
dc.subject.halÉconomie et finance quantitative [q-fin]en_US
dc.subject.jelC - Mathematical and Quantitative Methods::C4 - Econometric and Statistical Methods: Special Topics::C41 - Duration Analysis; Optimal Timing Strategiesen_US
dc.subject.jelR - Urban, Rural, Regional, Real Estate, and Transportation Economics::R0 - Generalen_US
dc.subject.jelR - Urban, Rural, Regional, Real Estate, and Transportation Economics::R1 - General Regional Economics::R11 - Regional Economic Activity: Growth, Development, Environmental Issues, and Changesen_US
dc.subject.jelR - Urban, Rural, Regional, Real Estate, and Transportation Economics::R1 - General Regional Economics::R10 - Generalen_US
bordeaux.journalJournal of Quantitative Economicsen_US
bordeaux.hal.laboratoriesGroupe de Recherche en Economie Théorique et Appliquée (GREThA) - UMR 5113en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcedissemin
hal.identifierhal-02796138
hal.version1
hal.date.transferred2020-06-05T11:22:32Z
hal.exporttrue
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