File jagmnl1.out is output from Gauss program jagmnl1.src Date is: 1998.0000 2.0000000 1.0000000 4461702.0 ------------------------------------------------------------------------------- Variable Mean Std Dev Variance Minimum Maximum Valid Missing ------------------------------------------------------------------------------- DOCNO 82174.4127 2251.78345070528.564378001.000085059.0000 126 0 WEEKS 11.4490 7.7114 59.4661 2.8570 41.4290 126 0 NUMBIDS 1.7381 1.4321 2.0509 0.0000 10.0000 126 0 TAKEOVER 1.0000 0.0000 0.0000 1.0000 1.0000 126 0 BIDPREM 1.3468 0.1893 0.0358 0.9427 2.0664 126 0 INSTHOLD 0.2518 0.1856 0.0345 0.0000 0.9040 126 0 SIZE 1.2190 3.0966 9.5891 0.0177 22.1690 126 0 LEGLREST 0.4286 0.4968 0.2469 0.0000 1.0000 126 0 REALREST 0.1825 0.3878 0.1504 0.0000 1.0000 126 0 FINREST 0.1032 0.3054 0.0933 0.0000 1.0000 126 0 REGULATN 0.2698 0.4456 0.1986 0.0000 1.0000 126 0 WHTKNGHT 0.5952 0.4928 0.2429 0.0000 1.0000 126 0 ONE 1.0000 0.0000 0.0000 1.0000 1.0000 126 0 SIZESQ 10.9990 59.9148 3589.7819 0.0003 491.4646 126 0 D2NUMBID 0.9286 0.2586 0.0669 0.0000 1.0000 126 0 D3NUMBID 1.3571 0.6127 0.3754 0.0000 2.0000 126 0 BINARY LOGIT MAXIMUM LIKELIHOOD using Maxlik and ghmnl1.src Dataset jaggiatr Nr of observations 126.00000 Nr of times data is read 1.0000000 Nr of obs. read last chew 126.00000 Dependent variable D2NUMBID Parameters (Variables) names ONE REALREST BIDPREM SIZE =============================================================================== MAXLIK Version 4.0.16 2/01/98 12:23 pm =============================================================================== Data Set: jaggiatr ------------------------------------------------------------------------------- return code = 0 normal convergence Mean log-likelihood 0.877838 Number of cases 126 Covariance matrix of the parameters computed by the following method: QML covariance matrix Parameters Estimates Std. err. Est./s.e. Prob. Gradient ------------------------------------------------------------------ ONE 2.5688 2.7899 0.921 0.1786 -0.0000 REALREST -2.1507 0.7279 -2.955 0.0016 -0.0000 BIDPREM 0.3879 2.0280 0.191 0.4242 -0.0000 SIZE 0.1938 0.1816 1.067 0.1429 -0.0000 Correlation matrix of the parameters 1.000 -0.230 -0.982 -0.137 -0.230 1.000 0.116 -0.119 -0.982 0.116 1.000 0.080 -0.137 -0.119 0.080 1.000 Number of iterations 6 Minutes to convergence 0.00283