(gauss) run c:\dara\repl\lazerexp.gss Analysis 1: Anti-Asian Hate Crime Final Results: coefficients standard errors 2.3860109 0.23637435 -0.023750995 0.039306043 0.033821517 0.66666631 0.72133605 0.83815878 -15.561188 12.050604 39.074143 16.162396 @-------------------------------------------------------------------@ @ p[1,1] == sigma @ @ p[2,1] == spatial autocorr parameter (rho) @ @ p[3,1] == intercept @ @ p[4,1] == main effect, % white @ @ p[5,1] == main effect, change in asian % @ @ p[6,1] == interaction @ @-------------------------------------------------------------------@ Analysis 2: Anti-Latino Hate Crime Final Results: coefficients standard errors 3.2416196 0.32107365 0.023648886 0.029496602 0.10166225 0.63028484 1.4760145 0.74666569 -25.761049 9.8521247 47.609820 12.805284 @-------------------------------------------------------------------@ @ p[1,1] == sigma @ @ p[2,1] == spatial autocorr parameter (rho) @ @ p[3,1] == intercept @ @ p[4,1] == main effect, % white @ @ p[5,1] == main effect, change in latino % @ @ p[6,1] == interaction @ @-------------------------------------------------------------------@ Analysis 3: Anti-Black Hate Crime Final Results: coefficients standard errors 10.070478 0.99715994 0.0061922666 0.029190732 1.5453404 0.36762264 1.9307615 0.41769377 -6.1668496 3.6969895 19.532704 4.5761248 @-------------------------------------------------------------------@ @ p[1,1] == sigma @ @ p[2,1] == spatial autocorr parameter (rho) @ @ p[3,1] == intercept @ @ p[4,1] == main effect, % white @ @ p[5,1] == main effect, change in black % @ @ p[6,1] == interaction @ @-------------------------------------------------------------------@ (gauss)