ECN741: Urban Economics Homeownership Gaps Between Ethnic Groups

Homeownership Gaps Class Outline  Homeownership Gaps  Explaining Homeownership Gaps (with a focus on Gabriel/Rosenthal)  Interpretation of Existing Literature

Homeownership Gaps 28.5 %age points Source: U.S. Census

Homeownership Gaps Gabriel and Rosenthal, JUE, 2005  Homeownership depends on income, education (linked to permanent income), wealth, family size, age, etc.  A link between homeownership and ethnicity after controlling for all these things might be a sign of discrimination.  But it could also reflect some omitted homeownership determinant.

Homeownership Gaps

Gabriel and Rosenthal, 2 Gabriel and Rosenthal focus on the possibility that buyers are credit constrained: “[I]ndividuals are coded as not credit constrained if they report that they had not had any loan request turned down or partially rejected, and also that they had not been discouraged from applying for credit in the previous years. In the discussion to follow, these individuals are characterized as not constrained. All other households are characterized as possibly constrained.

Homeownership Gaps Gabriel and Rosenthal, 3

Homeownership Gaps

Interpretation, Part 1  As Gabriel and Rosenthal emphasize, the ethnic gaps that remain after controls are caused by discrimination and other unobservable factors.  They are consistent with discrimination, but not proof of discrimination.  Audit studies provide much more direct and compelling evidence about discrimination.

Homeownership Gaps Deng, Ross, and Wachter, RSUE, 2003 “Three tenure choice models are estimated: ▫Model I, a basic model that controls for household characteristics and is comparable to traditional models. ▫Model II, which includes additional controls for the characteristics of each household’s residential location, such as percent of households in poverty and percent of African–American, and assumes that decisions on residential location are exogenous to the tenure choice. ▫Model III, which considers the influence of residential location options on homeownership endogenously based on a nested multinomial logit specification.”

Homeownership Gaps The D/R/W Nested Multinomial Logit Model Own Rent Neigh 1 Neigh 2 … Neigh n

Homeownership Gaps Neighborhood Variables in D/R/W The models “include standard location attributes, such as the racial or income composition of a location or whether the location is located in the central city.” The models also include two variables “constructed using the estimates from standard house value and rental price models that control for the physical characteristics of the housing unit and location dummy variables. The estimated coefficients on the location dummy variables are price fixed effects...[which are] a proxy for the amenity level associated with that location. The ratio of the rental and owner-occupied price fixed effects are used as a proxy for equity risk.

Homeownership Gaps D/R/W Results

Homeownership Gaps D/R/W Results, 2

Homeownership Gaps An Unrecognized Problem  This literature does not consider the possibility of disparate-impact discrimination.  According to our civil rights laws, discrimination takes two forms, and this approach implicitly assumes that only one form is at work.

Homeownership Gaps Discrimination Covered by Civil Rights Laws ▫Disparate-Treatment Discrimination  Using different rules for different legally protected classes ▫Disparate-Impact Discrimination  Using the same rules for all classes, but also using rules that place one class at a disadvantage without a business justification.

Homeownership Gaps Why Disparate Impact Matters  As we will discuss in detail in the class on mortgage discrimination, disparate impact discrimination arises when lenders, brokers, or housing sellers use rules or procedures that place certain ethnic groups at a disadvantage.  Because it ignores this possibility, this literature actually might understate discrimination.  This is difficult to sort out, because all the studies use reduced forms—not structural equations.

Homeownership Gaps The Implication  No article that I am aware of, accounts for disparate- impact discrimination.  In fact, disparate-impact discrimination might be built into the coefficients of the “controls.”  As a result, the estimates in this literature actually might understate discrimination.

Homeownership Gaps Example of D-I Discrimination  Most studies include “college education” as a control. This is seen as a proxy for wealth or permanent income (since income is another control).  But what if college education does not predict (or imperfectly predicts) wealth, but brokers use education as a screen for treating customers.  Then whites, who have more education, will receive better treatment and be more likely to be homeowners than blacks for a reason unconnected with ability to buy housing—or with demand.

Homeownership Gaps