• The Low Income Housing Tax Credit and Racial Segregation

    This paper addresses a critical but almost unexamined aspect of the Low Income Housing Tax Credit (LIHTC) program—whether its use (and in particular, the siting of developments in high poverty/high minority neighborhoods), is associated with increased racial segregation. Using data from HUD and the census, supplemented with data on the racial composition of LIHTC tenants in three states, we examine three potential channels through which the LIHTC could affect segregation: where LIHTC units are built relative to where other low income households live, who lives in these tax credit developments, and changes in neighborhood racial composition in neighborhoods that receive tax credit projects. The evidence on each of these channels suggests that LIHTC projects do not contribute to increased segregation, even those in high poverty neighborhoods. On net, we find that increases in the use of tax credits are associated with declines in racial segregation at the metropolitan level.

  • Welcome to the Neighborhood: What can Regional Science Contribute to the Study of Neighborhoods?

    In this paper the authors argue that neighborhoods are highly relevant for the types of issues at the heart of regional science. First, residential and economic activity takes place in particular locations, and particular neighborhoods. Many attributes of those neighborhood environments matter for this activity, from the physical amenities, to the quality of the public and private services received. Second, those neighborhoods vary in their placement in the larger region and this broader arrangement of neighborhoods is particularly important for location choices, commuting behavior and travel patterns. Third, sorting across these neighborhoods by race and income may well matter for educational and labor market outcomes, important components of a region's overall economic activity. For each of these areas we suggest a series of unanswered questions that would benefit from more attention. Focused on neighborhood characteristics themselves, there are important gaps in our understanding of how neighborhoods change - the causes and the consequences. In terms of the overall pattern of neighborhoods and resulting commuting patterns, this connects directly to current concerns about environmental sustainability and there is much need for research relevant to policy makers. And in terms of segregation and sorting across neighborhoods, work is needed on better spatial measures. In addition, housing market causes and consequences for local economic activity are under researched. The authors expand on each of these, finishing with some suggestions on how newly available data, with improved spatial identifiers, may enable regional scientists to answer some of these research questions.

  • What Can We Learn about the Low Income Housing Tax Credit Program by Looking at the Tenants?

    Using tenant-level data from fifteen states that represent more than thirty percent of all Low Income Housing Tax Credit (LIHTC) units, this paper examines tenant incomes, rental assistance and rent burdens to shed light on key questions about our largest federal supply-side affordable housing program. Specifically, what are the incomes of the tenants, and does this program reach those with extremely low incomes? What rent burdens are experienced, and is economic diversity within developments achieved? We find that more than forty percent of tenants have extremely low incomes, and the overwhelming majority of such tenants also receive some form of rental assistance. Rent burdens are generally higher than for HUD housing programs, but vary greatly by income level and are lowered by the sizable share of owners who charge below maximum rents. Finally, we find evidence of both economically diverse developments and those with concentrations of households with extremely low incomes.

  • Why Do Higher Income Households Move Into Low Income Neighborhoods? Pioneering or Thrift?

    This paper offers several hypotheses about which US higher-income households choose to move into low-income neighbourhoods and why. It first explores whether the probability that a household moves into a relatively low-income neighbourhood (an RLIN move) varies with predicted household and metropolitan area characteristics. Secondly, it estimates a residential choice model to examine the housing and neighbourhood preferences of the households making such moves. Thirdly, it explores responses to survey questions about residential choices. Evidence is found that, in the US, households who place less value on neighbourhood services and those who face greater constraints on their choices are more likely to make an RLIN move. No evidence is found that households making RLIN moves are choosing neighbourhoods that are more accessible to employment. Rather, it is found that households making RLIN moves appear to place less weight on neighbourhood amenities than other households and more weight on housing costs.