(gauss) run c:\dara\cntrepl4.gss @-----------------------------------------------@ @ Replicate Table 10: Columns II - VII @ @ Anti-Black Incidents @ @ with white or unknown offenders @ @ CONTROL ADDED FOR LOG OF POPULATION, 1990 @ @-----------------------------------------------@ Column II =============================================================================== Negative Binomial Regression Model =============================================================================== COUNT Version 4.0.1 7/12/1998 10:30 am =============================================================================== Data Set: temp ------------------------------------------------------------------------------- Dependent Variable: newbhc Parameter Estimate S.E. Het-con S.E. beta0 -1.2695 3.4440 3.1406 pw80 1.5128 0.3186 0.3453 chngblk -5.1077 2.5402 1.8695 xblk 18.5324 4.1391 2.4219 nhwu90 -2.5836 3.0660 2.6044 lntot90 0.2783 0.2908 0.2644 gamma0 1.4462 0.2576 0.2246 log-likelihood = 2082.3283 n = 51 Gauss likelihood minus sumc(lnfact(y)) -177.71430 Column III Hessian calculation failed =============================================================================== Negative Binomial Regression Model =============================================================================== COUNT Version 4.0.1 7/12/1998 10:30 am =============================================================================== Data Set: temp ------------------------------------------------------------------------------- ERROR: Covariance matrix of parameters not invertible ERROR: H-S Covariance matrix of parameters not invertible Dependent Variable: newbhc Parameter Estimate S.E. Het-con S.E. beta0 -1.2728 . . pw80 1.5139 . . chngblk -4.9474 . . xblk 18.4902 . . nhwu90 -2.5948 . . xnhwub -2.0035 . . lntot90 0.2785 . . gamma0 1.4462 . . log-likelihood = 2082.3288 n = 51 Gauss likelihood minus sumc(lnfact(y)) -177.71379 =============================================================================== Negative Binomial Regression Model =============================================================================== COUNT Version 4.0.1 4/14/1998 4:44 pm =============================================================================== Data Set: temp ------------------------------------------------------------------------------- Dependent Variable: newbhc Parameter Estimate Boot S.E. beta -1.2613 3.5865 pw80 1.5480 0.4155 chng -5.9714 7.7898 xblk 17.7411 8.5950 nhwu -1.8345 4.0788 xnhw 23.4822 99.2516 lnto 0.2697 0.2948 gamm 1.2651 0.2505 bootstrap log-likelihood = 4008.8672 n = 100 Column IV =============================================================================== Negative Binomial Regression Model =============================================================================== COUNT Version 4.0.1 7/12/1998 10:30 am =============================================================================== Data Set: temp ------------------------------------------------------------------------------- Dependent Variable: newbhc Parameter Estimate S.E. Het-con S.E. beta0 -1.7307 3.7746 3.6897 pw80 1.6372 0.2918 0.2896 chngblk -5.5663 7.9549 8.5324 xblk 18.3292 4.8106 3.6458 xnhwub 7.0484 87.6638 96.1960 lntot90 0.2965 0.3228 0.3162 gamma0 1.4608 0.2571 0.2180 log-likelihood = 2081.9661 n = 51 Gauss likelihood minus sumc(lnfact(y)) -178.07653 Column V =============================================================================== Negative Binomial Regression Model =============================================================================== COUNT Version 4.0.1 7/12/1998 10:30 am =============================================================================== Data Set: temp ------------------------------------------------------------------------------- Dependent Variable: newbhc Parameter Estimate S.E. Het-con S.E. beta0 -1.7356 3.6045 3.3744 pw80 1.6507 0.2855 0.2853 chngblk -4.9740 2.6116 2.0309 xblk 18.1094 4.1874 2.4899 dnhwu 0.6258 3.5278 3.2909 lntot90 0.2957 0.3073 0.2875 gamma0 1.4602 0.2570 0.2185 log-likelihood = 2081.9751 n = 51 Gauss likelihood minus sumc(lnfact(y)) -178.06750 Column VI =============================================================================== Negative Binomial Regression Model =============================================================================== COUNT Version 4.0.1 7/12/1998 10:30 am =============================================================================== Data Set: temp ------------------------------------------------------------------------------- Dependent Variable: newbhc Parameter Estimate S.E. Het-con S.E. beta0 -1.6839 3.5466 3.2979 pw80 1.6614 0.2917 0.3109 chngblk -4.3986 2.6259 1.7814 xblk 17.9780 4.1816 2.2653 dnhwu 0.1767 5.2913 7.2618 xdnhub -47.0839 60.5303 39.8768 lntot90 0.2907 0.3018 0.2797 gamma0 1.4461 0.2573 0.2199 log-likelihood = 2082.2740 n = 51 Gauss likelihood minus sumc(lnfact(y)) -177.76860 Column VII =============================================================================== Negative Binomial Regression Model =============================================================================== COUNT Version 4.0.1 7/12/1998 10:30 am =============================================================================== Data Set: temp ------------------------------------------------------------------------------- Dependent Variable: newbhc Parameter Estimate S.E. Het-con S.E. beta0 -1.6839 3.5592 3.3413 pw80 1.6596 0.2846 0.2732 chngblk -4.4062 2.6112 1.7731 xblk 18.0016 4.1394 2.2087 xdnhub -47.5246 60.4058 40.3951 lntot90 0.2909 0.3034 0.2845 gamma0 1.4462 0.2573 0.2205 log-likelihood = 2082.2728 n = 51 Gauss likelihood minus sumc(lnfact(y)) -177.76982