Authors: Anqi Xu*, University of Louisville
Topics: Immigration/Transnationalism, Spatial Analysis & Modeling, Urban Geography
Keywords: Immigration, Housing price, Spatial analysis
Session Type: Poster
Start / End Time: 11:10 AM / 12:25 PM
Room: Virtual Track 2
Presentation File: Download
This study examines the effect of immigration into the U.S. established and new immigrant destinations on housing prices using county-level data that span from 2011 and 2017. With estimations of the global and local Moran’s I statistics, I demonstrate how housing prices are spatially clustered across destinations, and then model the housing market in a spatial econometrics context with an instrumental spatial Durbin Model. This approach helps exploit and capture both the direct and indirect effects of immigration on housing price change. Findings show that the growth of immigration concentration is associated with housing price appreciation in established destinations, but that effect is primarily constituted by the spatial spillover effect of immigration rather than its direct effect. Housing prices in new destination do not respond to immigration. Hispanic immigrants are a stronger predictor of housing price appreciation compared to Asian immigrants, although their impact is likewise mainly a result of the ripple effects. There findings shed light on spatial dependence and spatial heterogeneity embedded within the immigrant-housing price relationship across destinations, and call for the attention on not only on the outcome but the process of immigrant residential attainment.