(gauss) run c:\dara\repl\cntrepl.gss @-----------------------------------------------@ @ Replicate Table 5: Anti-Asian Incidents @ @ with white or unknown offenders @ @-----------------------------------------------@ =============================================================================== Negative Binomial Regression Model =============================================================================== COUNT Version 4.0.1 3/08/1998 8:08 pm =============================================================================== Data Set: temp ------------------------------------------------------------------------------- Dependent Variable: newahc Parameter Estimate S.E. Het-con S.E. beta0 -0.0845 0.3903 0.3594 pw80 0.6468 0.6431 0.6235 chngasn -9.1334 10.7417 7.9396 xasn 32.9834 15.0096 12.4204 gamma0 0.0775 0.4694 0.3874 log-likelihood = 51.5869 n = 51 Gauss likelihood minus sumc(lnfact(y)) -93.929578 @-----------------------------------------------@ @ Replicate Table 6: Anti-Latino Incidents @ @ with white or unknown offenders @ @-----------------------------------------------@ =============================================================================== Negative Binomial Regression Model =============================================================================== COUNT Version 4.0.1 3/08/1998 8:08 pm =============================================================================== Data Set: temp ------------------------------------------------------------------------------- Dependent Variable: newlhc Parameter Estimate S.E. Het-con S.E. beta0 0.1711 0.4485 0.4613 pw80 1.6134 0.6337 0.6191 chnghsp -5.3402 7.4264 8.8789 xhsp 19.6041 11.2858 12.2292 gamma0 0.6633 0.3667 0.4531 log-likelihood = 179.4176 n = 51 Gauss likelihood minus sumc(lnfact(y)) -115.00372 @-----------------------------------------------@ @ Replicate Table 7: Anti-Black Incidents @ @ with white or unknown offenders @ @-----------------------------------------------@ =============================================================================== Negative Binomial Regression Model =============================================================================== COUNT Version 4.0.1 3/08/1998 8:08 pm =============================================================================== Data Set: temp ------------------------------------------------------------------------------- Dependent Variable: newbhc Parameter Estimate S.E. Het-con S.E. beta0 1.7354 0.2005 0.1796 pw80 1.6729 0.2845 0.2746 chngblk -4.8982 2.6839 2.1824 xblk 18.2868 4.3279 2.7236 gamma0 1.4798 0.2568 0.2089 log-likelihood = 2081.4765 n = 51 Gauss likelihood minus sumc(lnfact(y)) -178.56611 @-----------------------------------------------@ @ Replicate Table 5: Anti-Asian Incidents @ @ with white or unknown offenders @ @ INCLUDES LOG OF 1990 POPULATION AS CONTROL @ @-----------------------------------------------@ =============================================================================== Negative Binomial Regression Model =============================================================================== COUNT Version 4.0.1 3/08/1998 8:08 pm =============================================================================== Data Set: temp ------------------------------------------------------------------------------- Dependent Variable: newahc Parameter Estimate S.E. Het-con S.E. beta0 -6.5096 5.5864 4.6041 pw80 0.6639 0.6309 0.5846 chngasn -9.4927 11.0684 7.6208 xasn 32.0079 15.3366 11.5559 lntot90 0.5479 0.4750 0.3924 gamma0 0.1026 0.4623 0.3858 log-likelihood = 52.2578 n = 51 @-----------------------------------------------@ @ Replicate Table 6: Anti-Latino Incidents @ @ with white or unknown offenders @ @ INCLUDES LOG OF 1990 POPULATION AS CONTROL @ @-----------------------------------------------@ =============================================================================== Negative Binomial Regression Model =============================================================================== COUNT Version 4.0.1 3/08/1998 8:08 pm =============================================================================== Data Set: temp ------------------------------------------------------------------------------- Dependent Variable: newlhc Parameter Estimate S.E. Het-con S.E. beta0 -5.8589 5.0741 4.6894 pw80 1.4800 0.6445 0.6259 chnghsp -6.2889 7.3521 8.7523 xhsp 22.0165 11.2571 11.9490 lntot90 0.5164 0.4322 0.4014 gamma0 0.6462 0.3650 0.4501 log-likelihood = 180.1112 n = 51 @-----------------------------------------------@ @ Replicate Table 7: Anti-Black Incidents @ @ with white or unknown offenders @ @ INCLUDES LOG OF 1990 POPULATION AS CONTROL @ @-----------------------------------------------@ =============================================================================== Negative Binomial Regression Model =============================================================================== COUNT Version 4.0.1 3/08/1998 8:08 pm =============================================================================== Data Set: temp ------------------------------------------------------------------------------- Dependent Variable: newbhc Parameter Estimate S.E. Het-con S.E. beta0 -1.7512 3.4547 3.1210 pw80 1.6431 0.2829 0.2708 chngblk -4.9745 2.6176 2.0426 xblk 18.1477 4.1904 2.5080 lntot90 0.2978 0.2946 0.2659 gamma0 1.4608 0.2571 0.2183 log-likelihood = 2081.9594 n = 51 (gauss)