Objetivo City growth is driven by a combination of systematic determinants and shocks. Random growth models predict realistic city size distributions but ignore, for instance, the strong empirical association between human capital and city growth. Models with systematic determinants predict degenerate size distributions. We will develop an integrated model that combines systematic and random determinants to explain the link between human capital, entrepreneurship and growth, while generating relevant city size distributions. We will calibrate the model to quantify the contribution of cities to aggregate growth.Urban growth also has a poorly understood spatial component. Combining gridded data of land use, population, businesses and roads for 3 decennial periods we will track the evolution of land use in the US with an unprecedented level of spatial detail. We will pay particular attention to the magnitude and causes of “slash-and-burn” development: instances when built-up land stops meeting needs in terms of use and intensity and, instead of being redeveloped, it is abandoned while previously open space is built up.Job-to-job flows across cities matter for efficiency and during the recent crisis they have plummeted. We will study them with individual social security data. Even if there have only been small changes in mismatch between unemployed workers and vacancies during the crisis, if workers shy away from moving to take a job in another city, misallocation can increase substantially.We will also study commuting flows for Spain and the UK based on anonymized cell phone location records. We will identify urban areas by iteratively aggregating municipalities if more than a given share of transit flows end in the rest of the urban area. We will also measure the extent to which people cross paths with others opening the possibility of personal interactions, and assess the extent to which this generates productivity-enhancing agglomeration economies. Ámbito científico social scienceseconomics and businessbusiness and managemententrepreneurshipsocial scienceseconomics and businesseconomicsproduction economicsproductivitysocial scienceseconomics and businessbusiness and managementemploymentsocial sciencessociologydemographyhuman migrationssocial scienceseconomics and businesseconomicspolitical economy Palabras clave Urban economics Programa(s) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Tema(s) ERC-ADG-2015 - ERC Advanced Grant Convocatoria de propuestas ERC-2015-AdG Consulte otros proyectos de esta convocatoria Régimen de financiación ERC-ADG - Advanced Grant Coordinador FUNDACION CENTRO DE ESTUDIOS MONETARIOS Y FINANCIEROS Aportación neta de la UEn € 1 292 586,25 Dirección Casado del alisal 5 28014 Madrid España Ver en el mapa Pyme Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención. Sí Región Comunidad de Madrid Comunidad de Madrid Madrid Tipo de actividad Research Organisations Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Participación en los programas de I+D de la UE Opens in new window Red de colaboración de HORIZON Opens in new window Coste total € 1 292 586,25 Beneficiarios (1) Ordenar alfabéticamente Ordenar por aportación neta de la UE Ampliar todo Contraer todo FUNDACION CENTRO DE ESTUDIOS MONETARIOS Y FINANCIEROS España Aportación neta de la UEn € 1 292 586,25 Dirección Casado del alisal 5 28014 Madrid Ver en el mapa Pyme Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención. Sí Región Comunidad de Madrid Comunidad de Madrid Madrid Tipo de actividad Research Organisations Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Participación en los programas de I+D de la UE Opens in new window Red de colaboración de HORIZON Opens in new window Coste total € 1 292 586,25