Revised City of South Bend Disparity Study Report

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City of South Bend Disoarity Study 2020 variable showed the impact of being a member of that race or gender in the State of Indiana. The following chart lists the econometric technique and variables used to esti- mate each model. Because of the very large number of observations in the data set, the residuals of these equations were assumed to be distributed nor- mally. a. The AGE vector captured the basic Mincer age equation: Age, Ages, Agea, Age" b. While Education is presented in the ACS data as discrete values from 1 through 11, our analysis con- verted this into 11 dummy variables. 104 0 2020 Colette Holt & Associates, All Rights Reserved. .-.- Model Technique Variable Variables (D) Variables (1) Independent (DV) Dummy Variables (0) Variables for Black; Wage Ordinary Log wage Hispanic; Industrial and Age a; occupations dummy estimation LeastS uares q income Native variables Education b American; Asian; Other; White Women Dummy Variables for Black; Business Industrial and Income Ordinary Logbusiness Hispanic; occupations dummy Age; estimation Least Squares income Native variables Education American; Asian; Other; White Women Dummy Variables for Probabilistic Dummy Black; Industrial and estimate of variable on Hispanic; Age; Probit occupations dummy business business Native variables Education formation formation American; Asian; Other; White Women a. The AGE vector captured the basic Mincer age equation: Age, Ages, Agea, Age" b. While Education is presented in the ACS data as discrete values from 1 through 11, our analysis con- verted this into 11 dummy variables. 104 0 2020 Colette Holt & Associates, All Rights Reserved.