98109 hdl_2072_13171 oai:www.recercat.cat:2072/179210 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 macroeconomic variables on 1,175 U.S. cities. Our analysis reveals the existence of increasing returns when per-capita income levels are beyond 9; 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 eng González Val, Rafael Olmo, Jose Xarxa de Referència en Economia Aplicada (XREAP) Xarxa de Referència en Economia Aplicada (XREAP) 2011 Growth in a Cross-Section of Cities : Location, Increasing Returns or Random Growth? 47 p. L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/openAccess 33 332 Economy Economic development Cities and towns Economia Desenvolupament econòmic Ciutats info:eu-repo/semantics/workingPaper XREAP ; 2011-21 ESTUDIS UAB 47 311795 http://ddd.uab.cat/pub/estudis/2011/hdl_2072_179210/XREAP2011-21.pdf Adreça alternativa http://hdl.handle.net/2072/179210 driver oai:ddd.uab.cat:98109