Research Topics

Evidence from Measures of Economic Well-Being

The Great Recession had a tremendous impact on low-income Americans, in particular black and Latino Americans. The losses in terms of employment and earnings are matched only by the losses in terms of real wealth. In many ways, however, these losses are merely a continuation of trends that have been unfolding for more than two decades. We examine the changes in overall economic well-being and inequality as well as changes in racial economic inequality over the Great Recession, using the period from 1989 to 2007 for historical context. We find that while racial inequality increased from 1989 to 2010, during the Great Recession racial inequality in terms of the Levy Institute Measure of Economic Well-Being (LIMEW) decreased. We find that changes in base income, taxes, and income from nonhome wealth during the Great Recession produced declines in overall inequality, while only taxes reduced between-group racial inequality.

A Mesoanalysis

Economists’ principal explanations of the subprime crisis differ from those developed by noneconomists in that the latter see it as rooted in the US legacy of racial/ethnic inequality, and especially in racial residential segregation, whereas the former ignore race. This paper traces this disjuncture to two sources. What is missing in the social science view is any attention to the market mechanisms involved in subprime lending; and economists, on their side, have drawn too tight a boundary for “the economic,” focusing on market mechanisms per se,to the exclusion of the households and community whose resources and outcomes these mechanisms affect. Economists’ extensive empirical studies of racial redlining and discrimination in credit markets have, ironically, had the effect of making race analytically invisible. Because of these explanatory lacunae, two defining aspects of the subprime crisis have not been well explained. First, why were borrowers that had previously been excluded from equal access to mortgage credit instead super included in subprime lending? Second, why didn’t the flood of mortgage brokers that accompanied the 2000s housing boom reduce the proportion of minority borrowers who were burdened with costly and ultimately unpayable mortgages? This paper develops a mesoanalysis to answer the first of these questions. This analysis traces the coevolution of banking strategies and client communities, shaped by and reinforcing patterns of racial/ethnic inequality. The second question is answered by showing how unequal power relations impacted patterns of subprime lending. Consequences for gender inequality in credit markets are also briefly discussed.

A Spatial Econometric Analysis of Microneighborhoods in Kingston, New York

This paper use spatial econometric models to test for racial preferences in a small urban housing market. Identifying racial preferences is difficult when unobserved neighborhood amenities vary systematically with racial composition. We adopt three strategies to redress this problem: (1) we focus on housing price differences across microneighborhoods in the small and relatively homogenous city of Kingston, New York; (2) we introduce GIS-based spatial amenity variables as controls in the hedonic regressions; and (3) we use spatial error and lag models to explicitly account for the spatial dependence of unobserved neighborhood amenities. Our simple OLS estimates agree with the consensus in the literature that black neighborhoods have lower housing prices. However, racial price discounts are no longer significant when we account for the spatial dependence of errors. Our results suggest that price discounts in black neighborhoods are caused not by racial preferences but by the demand for amenities that are typically not found in black neighborhoods.

A Decomposition Analysis of Racial and Ethnic Disparities in Homeownership

In recent years, as the homeownership rate in the United States reached its highest level in history, homeownership itself remained unevenly distributed, particularly along racial and ethnic lines. By using data from the 2000 Integrated Public Use Microdata Series (IPUMS) and 2006 American Community Survey (ACS) to study the trajectory into homeownership of black, Asian, white, and Latino households, this paper explores the various socioeconomic and demographic characteristics, as well as the distinct immigration experiences and spatial patterns that shape racial and ethnic inequality in homeownership. The unique (merged) dataset enables the authors to distinguish assimilation (length of residence) from immigration cohort effects, and to control for various spatial characteristics at the PUMA (Public Use Microdata Area) level. The paper employs a decomposition technique that delineates the distinct effects that composition differentials have on the visible white-minority disparity in homeownership. The findings reveal substantial differences along racial-ethnic lines, highlight the importance of immigration and spatial context in determining Asian and Mexican homeownership rates, and emphasize the unique role that family structure and unobserved factors (e.g. prejudice and discrimination) continue to play in shaping the black-white homeownership gap.