Authors: Sergio Rey*, University of California - Riverside, Wei Kang, University of California - Riverside
Topics: Geographic Information Science and Systems, Economic Geography, Spatial Analysis & Modeling
Keywords: inequality, urban data science
Session Type: Paper
Start / End Time: 5:00 PM / 6:40 PM
Room: Forum Room, Omni, West
Presentation File: No File Uploaded
The role of space in affecting patterns of intergenerational income mobility has recently attracted substantial attention in academia and broader policy circles. However, existing studies of mobility and how it may be influenced by spatial context have tended to take the geographical units under consideration as static and monolithic. In this paper we turn the lens on the question of spatial income mobility patterns and investigate the assumption of temporal invariance and whether the aggregate focus may obscure intra-urban dynamics. Using recently developed measures that give a spatially explicit view on income mobility, we examine the extent to which urban areas experience intra-urban mixing and whether this mobility exacerbates or dampens income inequality within US metropolitan areas over the period 1970-2010.