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dc.contributor.author | González-Val, Rafael |
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dc.contributor.author | Olmo, José |
dc.date | 2017-10-13T13:40:00Z |
dc.date | 2017-10-13T13:40:00Z |
dc.date | 2011 |
dc.identifier | http://hdl.handle.net/2445/116590 |
dc.identifier.uri | http://hdl.handle.net/2445/116590 |
dc.description | This article analyzes empirically the main existing theories on income and population city growth: increasing returns to scale, locational fundamentals and random growth. To do this we implement a threshold nonlinearity test that extends standard linear growth regression models to a dataset on urban, climatological and macroeconòmic variables on 1,175 U.S. cities. Our analysis reveals the existence of increasing returns when per-capita income levels are beyond $19; 264. Despite this, income growth is mostly explained by social and locational fundamentals. Population growth also exhibits two distinct equilibria determined by a threshold value of 116,300 inhabitants beyond which city population grows at a higher rate. Income and population growth do not go hand in hand, implying an optimal level of population beyond which income growth stagnates or deteriorates. |
dc.format | 38 p. |
dc.format | application/pdf |
dc.language | eng |
dc.publisher | Institut d’Economia de Barcelona |
dc.relation | Reproducció del document publicat a: http://www.ieb.ub.edu/2012022157/ieb/ultimes-publicacions |
dc.relation | IEB Working Paper 2011/39 |
dc.relation | [WP E-IEB11/39] |
dc.rights | cc-by-nc-nd, (c) González-Val et al., 2011 |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.rights | info:eu-repo/semantics/openAccess |
dc.subject | Desenvolupament urbà |
dc.subject | Població urbana |
dc.subject | Models multinivell (Estadística) |
dc.subject | Riquesa |
dc.subject | Urban development |
dc.subject | City dwellers |
dc.subject | Multilevel models (Statistics) |
dc.subject | Wealth |
dc.title | Growth in a cross-section of cities: location, increasing returns or random growth? |
dc.type | info:eu-repo/semantics/workingPaper |