ABGBNP.CMD Number of observations: 647.00000 Tolerance = 1.0000000e-005 =============================================================================== A-B-GB-NP-sigmae^2 = 1/2, V(sum)'s estimated, trip costs =============================================================================== MAXLIK Version 5.0.3 8/04/2004 8:06 pm =============================================================================== return code = 1 forced termination Mean log-likelihood -33.9580 Number of cases 5176 Covariance matrix of the parameters computed by the following method: Estimated Hessian from the secant update Parameters Estimates Std. err. Est./s.e. Prob. Gradient ------------------------------------------------------------------ perch -3.6691 0.0573 -64.000 0.0000 0.0000 salmon -0.0736 0.0164 -4.486 0.0000 0.0002 walleye -0.2661 0.0157 -16.938 0.0000 0.0000 bass -0.1517 0.0071 -21.439 0.0000 0.0003 FCA2 dum -0.1442 0.0202 -7.149 0.0000 -0.0003 FCA3 dum -0.2566 0.0336 -7.641 0.0000 -0.0001 FCA4 dum -0.4261 0.0335 -12.704 0.0000 0.0000 FCA5 dum -0.6476 0.0219 -29.632 0.0000 0.0000 FCA6 dum -0.4424 0.0278 -15.925 0.0000 -0.0001 FCA7 dum -0.7840 0.0230 -34.043 0.0000 -0.0001 FCA8 dum -1.0411 0.0270 -38.540 0.0000 0.0001 FCA9 dum -1.2068 0.0258 -46.825 0.0000 0.0000 tripcost -5.5289 0.0255 -216.921 0.0000 0.0001 constant 12.6896 0.0915 138.666 0.0000 0.0000 gend -2.0886 0.0125 -166.822 0.0000 0.0000 age 5.2056 0.0926 56.224 0.0000 -0.0001 ret -2.3618 0.1724 -13.699 0.0000 0.0000 boat -2.2482 0.0315 -71.295 0.0000 0.0000 s0e 6.6007 0.0155 426.780 0.0000 -0.0002 s0g 6.4992 0.0406 160.143 0.0000 0.0000 reg1 1.9510 0.0403 48.437 0.0000 0.0000 reg2 0.5153 0.0401 12.862 0.0000 -0.0001 Correlation matrix of the parameters 1.000 -0.181 0.270 -0.266 0.858 0.457 0.524 0.353 0.463 0.367 0.298 0.254 0.920 -0.997 0.945 -0.983 0.992 0.981 -0.751 -0.147 0.993 0.897 -0.181 1.000 -0.140 -0.410 -0.578 -0.849 -0.653 -0.426 -0.684 -0.585 -0.883 -0.156 0.178 0.125 0.030 0.020 -0.281 -0.337 -0.239 -0.816 -0.261 -0.557 0.270 -0.140 1.000 0.396 0.298 0.069 0.366 -0.389 -0.077 -0.301 -0.145 -0.349 0.326 -0.285 0.348 -0.312 0.241 0.238 -0.381 -0.314 0.246 0.153 -0.266 -0.410 0.396 1.000 -0.090 0.435 0.175 -0.511 0.278 -0.149 0.217 -0.738 -0.371 0.277 -0.253 0.299 -0.229 -0.204 0.246 0.188 -0.233 -0.113 0.858 -0.578 0.298 -0.090 1.000 0.691 0.587 0.603 0.697 0.677 0.668 0.386 0.626 -0.828 0.704 -0.766 0.901 0.918 -0.486 0.314 0.892 0.965 0.457 -0.849 0.069 0.435 0.691 1.000 0.592 0.342 0.907 0.639 0.891 -0.049 0.116 -0.411 0.279 -0.318 0.545 0.586 -0.039 0.618 0.530 0.749 0.524 -0.653 0.366 0.175 0.587 0.592 1.000 0.139 0.262 0.080 0.416 0.149 0.341 -0.499 0.428 -0.452 0.558 0.586 -0.255 0.236 0.549 0.623 0.353 -0.426 -0.389 -0.511 0.603 0.342 0.139 1.000 0.479 0.859 0.657 0.865 0.115 -0.311 0.132 -0.230 0.417 0.440 0.034 0.647 0.402 0.580 0.463 -0.684 -0.077 0.278 0.697 0.907 0.262 0.479 1.000 0.820 0.888 0.018 0.145 -0.422 0.285 -0.333 0.549 0.579 -0.056 0.596 0.535 0.737 0.367 -0.585 -0.301 -0.149 0.677 0.639 0.080 0.859 0.820 1.000 0.862 0.514 0.060 -0.320 0.141 -0.224 0.453 0.483 0.056 0.733 0.437 0.664 0.298 -0.883 -0.145 0.217 0.668 0.891 0.416 0.657 0.888 0.862 1.000 0.281 -0.083 -0.240 0.060 -0.127 0.404 0.453 0.166 0.863 0.384 0.679 0.254 -0.156 -0.349 -0.738 0.386 -0.049 0.149 0.865 0.018 0.514 0.281 1.000 0.148 -0.228 0.097 -0.184 0.278 0.288 -0.015 0.388 0.269 0.350 0.920 0.178 0.326 -0.371 0.626 0.116 0.341 0.115 0.145 0.060 -0.083 0.148 1.000 -0.942 0.958 -0.972 0.871 0.838 -0.841 -0.499 0.880 0.661 -0.997 0.125 -0.285 0.277 -0.828 -0.411 -0.499 -0.311 -0.422 -0.320 -0.240 -0.228 -0.942 1.000 -0.958 0.992 -0.984 -0.969 0.771 0.209 -0.986 -0.869 0.945 0.030 0.348 -0.253 0.704 0.279 0.428 0.132 0.285 0.141 0.060 0.097 0.958 -0.958 1.000 -0.974 0.912 0.890 -0.850 -0.387 0.919 0.744 -0.983 0.020 -0.312 0.299 -0.766 -0.318 -0.452 -0.230 -0.333 -0.224 -0.127 -0.184 -0.972 0.992 -0.974 1.000 -0.957 -0.935 0.813 0.320 -0.961 -0.806 0.992 -0.281 0.241 -0.229 0.901 0.545 0.558 0.417 0.549 0.453 0.404 0.278 0.871 -0.984 0.912 -0.957 1.000 0.995 -0.699 -0.037 0.998 0.942 0.981 -0.337 0.238 -0.204 0.918 0.586 0.586 0.440 0.579 0.483 0.453 0.288 0.838 -0.969 0.890 -0.935 0.995 1.000 -0.680 0.019 0.992 0.956 -0.751 -0.239 -0.381 0.246 -0.486 -0.039 -0.255 0.034 -0.056 0.056 0.166 -0.015 -0.841 0.771 -0.850 0.813 -0.699 -0.680 1.000 0.527 -0.710 -0.494 -0.147 -0.816 -0.314 0.188 0.314 0.618 0.236 0.647 0.596 0.733 0.863 0.388 -0.499 0.209 -0.387 0.320 -0.037 0.019 0.527 1.000 -0.059 0.292 0.993 -0.261 0.246 -0.233 0.892 0.530 0.549 0.402 0.535 0.437 0.384 0.269 0.880 -0.986 0.919 -0.961 0.998 0.992 -0.710 -0.059 1.000 0.932 0.897 -0.557 0.153 -0.113 0.965 0.749 0.623 0.580 0.737 0.664 0.679 0.350 0.661 -0.869 0.744 -0.806 0.942 0.956 -0.494 0.292 0.932 1.000 Number of iterations 455 Minutes to convergence 28.66667 % correct predictions (p > .5): 0.72489083