Segregation and the Geography of Creditworthiness: Racial Inequality in a Recovered Mortgage Market

The subprime boom and subsequent foreclosure crisis highlighted risk associated with pursuit of the American Dream of homeownership. People of color and those living in segregated areas were particularly harmed by the dramatic rise and fall of the housing market. Almost a decade after the economy’s collapse, questions remain about racial and spatial disparities in access to mortgage credit. I leverage Home Mortgage Disclosure Act data to explore mortgage application outcomes in 2014. Well into the economy’s recovery, minority borrowers remained at a disadvantage in the mortgage approval process. Whereas 71% of White applicants were approved for home loans, approval rates were lower for Asians (68%), Latinos (63%), and Blacks (54%). Black and Latino borrowers were also significantly more likely to receive higher cost loans than Whites, a practice that has accelerated since the foreclosure crisis. Results suggest that segregation exacerbated racial disparities as lenders funneled expensive credit into isolated minority communities. Furthermore, the differences between White and minority outcomes were largest in census tracts where subprime lending was common in 2006 and foreclosures accumulated during the Great Recession. Together, these findings indicate how spatially organized markets have racialized consequences in a highly segregated society.     

Thijs Van de Graaf and Benjamin K. Sovacool: Global Energy Politics

International Environmental Agreements: Politics, Law and Economics -     

Assessing electronic service delivery in municipalities: determinants and financial consequences of e-government implementation

In the Netherlands, electronic service delivery has become an important issue in many municipalities. Using the Internet for service delivery is seen as an important element of e-government. Based on 2014–2016 panel data for all Dutch municipalities, we show that there is a large variety among the municipalities in the extent to which they offer their service delivery digitally. By exploring the factors that may explain the differences among the municipalities, some trends can be discerned. Most notably is the strong relationship of e-government adoption with demographic characteristics, such as population, population density and both older age and younger age groups. Remarkably, we did not find an influence of education and income. Finally, we did not observe a relation between municipal allocated costs and level of e-maturity, hereby leaving the question open if and how e-government can lead to cost reductions.