We approach the literature on housing and inequality from two angles. One is the impact of unequal endowments on housing. The second is the “memberships” inequality associated with neighborhoods, namely, households’ location in a geographic and social context. We elaborate on these two angles of inequality and focus on three distinctive features of housing: consumption, capital, and location. For owner-occupants, capital and consumption are bundled together in a single good. For both renters and owner-occupants, housing consumption inequality, access to good neighborhoods, and housing wealth follow from unequal endowments. Housing can propagate inequality by enabling owner-occupants to use it as collateral for other investments or to secure higher returns to human capital investments through the better schools in better neighborhoods. We use this approach to analyze key aspects of housing and inequality, paying special attention to the impacts of racial discrimination and segregation.

Agent-based modeling (ABM) is a novel computational methodology for representing the behavior of individuals in order to study social phenomena. Its use is rapidly growing in many fields. We review ABM in economics and finance and highlight how it can be used to relax conventional assumptions in standard economic models. ABM has enriched our understanding of markets, industrial organization, labor, macro, development, public policy, and environmental economics. In financial markets, substantial accomplishments include understanding clustered volatility, market impact, systemic risk, and housing markets. We present a vision for how ABMs might be used in the future to build more realistic models of the economy and review some of hurdles that must be overcome to achieve this.