|
|||||||||||||||||||||||||||||||||||||
|
|||||||||||||||||||||||||||||||||||||
The following HTML text is provided to enhance online readability. Many aspects of typography translate only awkwardly to HTML. Please use the page image as the authoritative form to ensure accuracy. Page 26
TABLE 5-1 Core Treatment Variables
NOTE: This is not an exhaustive list of core treatment variables in the 2000 HDS. SOURCE: The variables in the table are those collected in both the 1989 HDS audit and the 2000 HDS audit. model. When looking at population data rather than experimental data, researchers are interested in observing the frequency of adverse treatment for minorities in the housing market. The researchers proxy this quantity with a Bernoulli variable, Y it , that measures adverse treatment for minority and white auditors for auditor race i and test t : The race-specific average of Y it gives the proportion of tests, for each race, in which auditors were treated favorably. The gross measure of discrimination is the proportion of tests in which the minority auditor was treated unfavorably and the white auditor was treated favorably, P10. The net measure of discrimination is the difference
|
|
||||||||||||||||||||||||||||||||||||
