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******************************************************************************************************* Wgt_IHS_ML_NLOGIT5_results_11.15.12.docx Author: Robert Johnston, Clark University Created: 11/15/2012 Purpose: This file presents the NLOGIT5 code and output for weighted mixed logit models based on the 316(b) stated preference survey data with inverse hyperbolic since (IHS) for fish saved. This file includes results for all survey regions including the national survey version.

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******************************************************************************************************* Northeast Region

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|-> RESET $ |-> LOAD ; File="D:\Rob Johnston\Applied Research and Development\Wetland\SP and BT 2009\Data Analysis\all_reg_model_data_w_wgts_071112.lpj"$ Project file contained 20817 observations. |-> CALC ; Ran(12345) $ |-> CREATE ; If(option=0) Neither=1; (Else) Neither=0 $ |-> CREATE ; fish_sq = fish_sav*fish_sav $ |-> REJECT; region = 2 $ |-> REJECT; region = 5 $ |-> REJECT; region = 3 $ |-> REJECT; region = 4 $ |-> CREATE ; ihs_fish = Log(fish_sav + sqr((fish_sav *fish_sav)+1))$ |-> CREATE; newind=Ndx(id,0) $ |-> CREATE; z = GroupMean(choice, str=newind) $

+-----------------------------------------------------------------+ | Variable = ____________ Variable Groups Max Min Average | | Z Group means CHOICE 421 9 9 9.0 |

+-----------------------------------------------------------------+ |-> CREATE; num_r=z*9 $ |-> REJECT; num_r = 0 $ |-> REJECT; choice = -999 $ |-> REJECT; response = -999 $ |-> REJECT; w_var = -999 $ |-> NLOGIT ; Lhs = Choice ; Choices = A,B,Neither ; Rhs = neither, com_fish, fish_pop, fish_sav, ihs_fish, aquatic,
cost ; RPL ; Fcn = neither(N), com_fish(N), fish_pop(N), fish_sav(N), aquatic(N) ; Parameters ; Pds = num_r ; Pts = 300 ; Maxit = 1000 ; Halton ; Wts = w_var $ Normal exit: 4 iterations. Status=0, F= 1090.814

----------------------------------------------------------------------------- Start values obtained using MNL model Dependent variable Choice Weighting variable W_VAR Log likelihood function -1090.81361 Estimation based on N = 1078, K = 7 Inf.Cr.AIC = 2195.6 AIC/N = 2.037 Model estimated: Nov 11, 2012, 18:02:31 R2=1-LogL/LogL* Log-L fncn R-sqrd R2Adj Constants only must be computed directly

Use NLOGIT ;...;RHS=ONE$ Response data are given as ind. choices Number of obs.= 1078, skipped 0 obs

--------+--------------------------------------------------------------------3 | Standard Prob. 95% Confidence CHOICE| Coefficient Error z |z|>Z* Interval

--------+-------------------------------------------------------------------- NEITHER| .94152*** .35573 2.65 .0081 .24430 1.63873 COM_FISH| .05254** .02319 2.27 .0235 .00708 .09800 FISH_POP| .01001 .03654 .27 .7841 -.06160 .08162 FISH_SAV| -.00236 .00398 -.59 .5523 -.01016 .00543 AQUATIC| .09350** .03697 2.53 .0114 .02104 .16595 IHS_FISH| .42220*** .11863 3.56 .0004 .18968 .65472 COST| -.01320*** .00236 -5.60 .0000 -.01782 -.00858

--------+-------------------------------------------------------------------- Note: ***, **, * ==> Significance at 1%, 5%, 10% level.

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Line search at iteration 12 does not improve fn. Exiting optimization.

----------------------------------------------------------------------------- Random Parameters Logit Model Dependent variable CHOICE Weighting variable W_VAR Log likelihood function -935.21950 Restricted log likelihood -1175.88015 Chi squared [ 12 d.f.] 481.32131 Significance level .00000 McFadden Pseudo R-squared .2046643 Estimation based on N = 1078, K = 12 Inf.Cr.AIC = 1894.4 AIC/N = 1.757 Model estimated: Nov 11, 2012, 18:12:53 Constants only must be computed directly

Use NLOGIT ;...;RHS=ONE$
At start values -1090.8136 .1426****** Response data are given as ind. choices Replications for simulated probs. = 300 Halton sequences used for simulations RPL model with panel has 372 groups Variable number of obs./group =NUM_R BHHH estimator used for asymp. variance Number of obs.= 1078, skipped 0 obs

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| Standard Prob. 95% Confidence CHOICE| Coefficient Error z |z|>Z* Interval

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|Random parameters in utility functions NEITHER| .83741 .62795 1.33 .1823 -.39334 2.06816 COM_FISH| -.21381*** .07525 -2.84 .0045 -.36130 -.06633 FISH_POP| .08553 .07631 1.12 .2624 -.06404 .23510 FISH_SAV| -.00808 .00853 -.95 .3434 -.02480 .00864 AQUATIC| .30449*** .09831 3.10 .0020 .11181 .49717

|Nonrandom parameters in utility functions IHS_FISH| 1.20819*** .25211 4.79 .0000 .71406 1.70232 COST| -.03492*** .00596 -5.86 .0000 -.04660 -.02325 |Distns. of RPs. Std.Devs or limits of triangular NsNEITHE| .01687 2.01154 .01 .9933 -3.92568 3.95942 NsCOM_FI| .58647*** .11106 5.28 .0000 .36879 .80415 NsFISH_P| .22563 .21760 1.04 .2998 -.20085 .65212 NsFISH_S| .05991*** .00976 6.14 .0000 .04077 .07904 NsAQUATI| .84375*** .15182 5.56 .0000 .54620 1.141314

--------+-------------------------------------------------------------------- Note: ***, **, * ==> Significance at 1%, 5%, 10% level.

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******************************************************************************************************* Southeast Region

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|-> RESET $ |-> LOAD ; File="D:\Rob Johnston\Applied Research and Development\Wetland\SP and BT 2009\Data Analysis\all_reg_model_data_w_wgts_071112.lpj"$ Project file contained 20817 observations. |-> CALC ; Ran(12345) $ |-> CREATE ; If(option=0) Neither=1; (Else) Neither=0 $ |-> CREATE ; fish_sq = fish_sav*fish_sav $ |-> REJECT; region = 1 $ |-> REJECT; region = 5 $ |-> REJECT; region = 3 $ |-> REJECT; region = 4 $ |-> CREATE ; ihs_fish = Log(fish_sav + sqr((fish_sav *fish_sav)+1))$ |-> CREATE; newind=Ndx(id,0) $ |-> CREATE; z = GroupMean(choice, str=newind) $

+-----------------------------------------------------------------+ | Variable = ____________ Variable Groups Max Min Average | | Z Group means CHOICE 506 9 9 9.0 |

+-----------------------------------------------------------------+ |-> CREATE; num_r=z*9 $ |-> REJECT; num_r = 0 $ |-> REJECT; choice = -999 $ |-> REJECT; response = -999 $ |-> REJECT; w_var = -999 $ |-> NLOGIT ; Lhs = Choice ; Choices = A,B,Neither ; Rhs = neither, com_fish, fish_pop, fish_sav, ihs_fish, aquatic,
cost ; RPL ; Fcn = neither(N), com_fish(N), fish_pop(N), fish_sav(N), aquatic(N) ; Parameters ; Pds = num_r ; Pts = 300 ; Maxit = 1000 ; Halton ; Wts = w_var $ Normal exit: 4 iterations. Status=0, F= 1365.484

----------------------------------------------------------------------------- Start values obtained using MNL model Dependent variable Choice Weighting variable W_VAR Log likelihood function -1365.48362 Estimation based on N = 1321, K = 7 Inf.Cr.AIC = 2745.0 AIC/N = 2.078 Model estimated: Nov 11, 2012, 18:12:56 R2=1-LogL/LogL* Log-L fncn R-sqrd R2Adj Constants only must be computed directly

Use NLOGIT ;...;RHS=ONE$ Response data are given as ind. choices Number of obs.= 1321, skipped 0 obs

--------+--------------------------------------------------------------------6 | Standard Prob. 95% Confidence CHOICE| Coefficient Error z |z|>Z* Interval

--------+-------------------------------------------------------------------- NEITHER| -1.18704 1.59556 -.74 .4569 -4.31428 1.94020 COM_FISH| .03486 .02147 1.62 .1045 -.00722 .07695 FISH_POP| -.02291 .03346 -.68 .4936 -.08850 .04268 FISH_SAV| .01995** .00894 2.23 .0257 .00242 .03748 AQUATIC| .10604*** .03406 3.11 .0018 .03930 .17279 IHS_FISH| -.34782 .45312 -.77 .4427 -1.23592 .54028 COST| -.02008*** .00218 -9.22 .0000 -.02435 -.01581

--------+-------------------------------------------------------------------- Note: ***, **, * ==> Significance at 1%, 5%, 10% level.

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Line search at iteration 11 does not improve fn. Exiting optimization.

----------------------------------------------------------------------------- Random Parameters Logit Model Dependent variable CHOICE Weighting variable W_VAR Log likelihood function -1110.30143 Restricted log likelihood -1441.96170 Chi squared [ 12 d.f.] 663.32053 Significance level .00000 McFadden Pseudo R-squared .2300063 Estimation based on N = 1321, K = 12 Inf.Cr.AIC = 2244.6 AIC/N = 1.699 Model estimated: Nov 11, 2012, 18:24:27 Constants only must be computed directly

Use NLOGIT ;...;RHS=ONE$
At start values -1365.4836 .1869****** Response data are given as ind. choices Replications for simulated probs. = 300 Halton sequences used for simulations RPL model with panel has 458 groups Variable number of obs./group =NUM_R BHHH estimator used for asymp. variance Number of obs.= 1321, skipped 0 obs

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| Standard Prob. 95% Confidence CHOICE| Coefficient Error z |z|>Z* Interval

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|Random parameters in utility functions NEITHER| -1.36346 2.39391 -.57 .5690 -6.05544 3.32852 COM_FISH| .05356 .03586 1.49 .1353 -.01673 .12385 FISH_POP| -.09829 .06268 -1.57 .1168 -.22114 .02455 FISH_SAV| .01407 .01490 .94 .3449 -.01513 .04326 AQUATIC| .00439 .07301 .06 .9521 -.13872 .14749

|Nonrandom parameters in utility functions IHS_FISH| .27103 .68583 .40 .6927 -1.07318 1.61523 COST| -.04252*** .00456 -9.33 .0000 -.05145 -.03359 |Distns. of RPs. Std.Devs or limits of triangular NsNEITHE| .02292 1.82208 .01 .9900 -3.54829 3.59413 NsCOM_FI| .09824 .14982 .66 .5120 -.19541 .39189 NsFISH_P| .09262 .37259 .25 .8037 -.63764 .82288 NsFISH_S| .07472*** .00827 9.03 .0000 .05850 .09094 NsAQUATI| .75161*** .12056 6.23 .0000 .51532 .987917

--------+-------------------------------------------------------------------- Note: ***, **, * ==> Significance at 1%, 5%, 10% level.

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******************************************************************************************************* Inland Region

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|-> RESET $ |-> LOAD ; File="D:\Rob Johnston\Applied Research and Development\Wetland\SP and BT 2009\Data Analysis\all_reg_model_data_w_wgts_071112.lpj"$ Project file contained 20817 observations. |-> CALC ; Ran(12345) $ |-> CREATE ; If(option=0) Neither=1; (Else) Neither=0 $ |-> CREATE ; fish_sq = fish_sav*fish_sav $ |-> REJECT; region = 1 $ |-> REJECT; region = 5 $ |-> REJECT; region = 2 $ |-> REJECT; region = 4 $ |-> CREATE ; ihs_fish = Log(fish_sav + sqr((fish_sav *fish_sav)+1))$ |-> CREATE; newind=Ndx(id,0) $ |-> CREATE; z = GroupMean(choice, str=newind) $

+-----------------------------------------------------------------+ | Variable = ____________ Variable Groups Max Min Average | | Z Group means CHOICE 787 9 9 9.0 |

+-----------------------------------------------------------------+ |-> CREATE; num_r=z*9 $ |-> REJECT; num_r = 0 $ |-> REJECT; choice = -999 $ |-> REJECT; response = -999 $ |-> REJECT; w_var = -999 $ |-> NLOGIT ; Lhs = Choice ; Choices = A,B,Neither ; Rhs = neither, com_fish, fish_pop, fish_sav, ihs_fish, aquatic,
cost ; RPL ; Fcn = neither(N), com_fish(N), fish_pop(N), fish_sav(N), aquatic(N) ; Parameters ; Pds = num_r ; Pts = 300 ; Maxit = 1000 ; Halton ; Wts = w_var $ Normal exit: 4 iterations. Status=0, F= 2281.352

----------------------------------------------------------------------------- Start values obtained using MNL model Dependent variable Choice Weighting variable W_VAR Log likelihood function -2281.35196 Estimation based on N = 2180, K = 7 Inf.Cr.AIC = 4576.7 AIC/N = 2.099 Model estimated: Nov 11, 2012, 18:24:28 R2=1-LogL/LogL* Log-L fncn R-sqrd R2Adj Constants only must be computed directly

Use NLOGIT ;...;RHS=ONE$ Response data are given as ind. choices Number of obs.= 2180, skipped 0 obs

--------+--------------------------------------------------------------------9 | Standard Prob. 95% Confidence CHOICE| Coefficient Error z |z|>Z* Interval

--------+-------------------------------------------------------------------- NEITHER| 5.32148 7.33369 .73 .4681 -9.05229 19.69524 COM_FISH| .00760 .01647 .46 .6445 -.02468 .03989 FISH_POP| .00185 .02574 .07 .9428 -.04860 .05230 FISH_SAV| -.00381 .02531 -.15 .8803 -.05342 .04580 AQUATIC| .07116*** .02591 2.75 .0060 .02039 .12194 IHS_FISH| 1.29974 1.84987 .70 .4823 -2.32594 4.92543 COST| -.01938*** .00167 -11.58 .0000 -.02266 -.01610

--------+-------------------------------------------------------------------- Note: ***, **, * ==> Significance at 1%, 5%, 10% level.

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Normal exit: 36 iterations. Status=0, F= 1831.377

----------------------------------------------------------------------------- Random Parameters Logit Model Dependent variable CHOICE Weighting variable W_VAR Log likelihood function -1831.37694 Restricted log likelihood -2380.09089 Chi squared [ 12 d.f.] 1097.42791 Significance level .00000 McFadden Pseudo R-squared .2305433 Estimation based on N = 2180, K = 12 Inf.Cr.AIC = 3686.8 AIC/N = 1.691 Model estimated: Nov 11, 2012, 18:39:35 Constants only must be computed directly

Use NLOGIT ;...;RHS=ONE$
At start values -2281.3520 .1972****** Response data are given as ind. choices Replications for simulated probs. = 300 Halton sequences used for simulations RPL model with panel has 756 groups Variable number of obs./group =NUM_R Number of obs.= 2180, skipped 0 obs

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| Standard Prob. 95% Confidence CHOICE| Coefficient Error z |z|>Z* Interval

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|Random parameters in utility functions NEITHER| 3.16993 9.30501 .34 .7334 -15.06755 21.40742 COM_FISH| .03660 .02269 1.61 .1067 -.00787 .08106 FISH_POP| .00534 .03465 .15 .8774 -.06256 .07325 FISH_SAV| -.00344 .03224 -.11 .9151 -.06662 .05975 AQUATIC| .14345*** .03536 4.06 .0000 .07415 .21275

|Nonrandom parameters in utility functions IHS_FISH| 1.51062 2.34992 .64 .5203 -3.09513 6.11638 COST| -.03100*** .00280 -11.07 .0000 -.03649 -.02551 |Distns. of RPs. Std.Devs or limits of triangular NsNEITHE| 5.79090*** .62445 9.27 .0000 4.56699 7.01481 NsCOM_FI| .07156 .09701 .74 .4607 -.11857 .26169 NsFISH_P| .04138 .10600 .39 .6963 -.16639 .24915 NsFISH_S| .04093*** .00568 7.21 .0000 .02980 .05206 NsAQUATI| .17076 .13084 1.31 .1919 -.08569 .42721

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Note: ***, **, * ==> Significance at 1%, 5%, 10% level.

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******************************************************************************************************* Pacific Region

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|-> RESET $ |-> LOAD ; File="D:\Rob Johnston\Applied Research and Development\Wetland\SP and BT 2009\Data Analysis\all_reg_model_data_w_wgts_071112.lpj"$ Project file contained 20817 observations. |-> CALC ; Ran(12345) $ |-> CREATE ; If(option=0) Neither=1; (Else) Neither=0 $ |-> CREATE ; fish_sq = fish_sav*fish_sav $ |-> REJECT; region = 1 $ |-> REJECT; region = 5 $ |-> REJECT; region = 3 $ |-> REJECT; region = 2 $ |-> CREATE ; ihs_fish = Log(fish_sav + sqr((fish_sav *fish_sav)+1))$ |-> CREATE; newind=Ndx(id,0) $ |-> CREATE; z = GroupMean(choice, str=newind) $

+-----------------------------------------------------------------+ | Variable = ____________ Variable Groups Max Min Average | | Z Group means CHOICE 311 9 9 9.0 |

+-----------------------------------------------------------------+ |-> CREATE; num_r=z*9 $ |-> REJECT; num_r = 0 $ |-> REJECT; choice = -999 $ |-> REJECT; response = -999 $ |-> REJECT; w_var = -999 $ |-> NLOGIT ; Lhs = Choice ; Choices = A,B,Neither ; Rhs = neither, com_fish, fish_pop, fish_sav, ihs_fish, aquatic,
cost ; RPL ; Fcn = neither(N), com_fish(N), fish_pop(N), fish_sav(N), aquatic(N) ; Parameters ; Pds = num_r ; Pts = 300 ; Maxit = 1000 ; Halton ; Wts = w_var $ Normal exit: 5 iterations. Status=0, F= 681.6663

----------------------------------------------------------------------------- Start values obtained using MNL model Dependent variable Choice Weighting variable W_VAR Log likelihood function -681.66630 Estimation based on N = 720, K = 7 Inf.Cr.AIC = 1377.3 AIC/N = 1.913 Model estimated: Nov 11, 2012, 18:39:37 R2=1-LogL/LogL* Log-L fncn R-sqrd R2Adj Constants only must be computed directly

Use NLOGIT ;...;RHS=ONE$ Response data are given as ind. choices Number of obs.= 720, skipped 0 obs

--------+--------------------------------------------------------------------12 | Standard Prob. 95% Confidence CHOICE| Coefficient Error z |z|>Z* Interval

--------+-------------------------------------------------------------------- NEITHER| .29498 .28798 1.02 .3057 -.26944 .85941 COM_FISH| .04092 .03010 1.36 .1741 -.01808 .09992 FISH_POP| .07337 .04629 1.59 .1129 -.01735 .16409 FISH_SAV| .01534*** .00438 3.51 .0005 .00676 .02392 AQUATIC| .17014*** .04767 3.57 .0004 .07670 .26357 IHS_FISH| .03348 .10206 .33 .7429 -.16655 .23351 COST| -.01734*** .00308 -5.62 .0000 -.02339 -.01130

--------+-------------------------------------------------------------------- Note: ***, **, * ==> Significance at 1%, 5%, 10% level.

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Line search at iteration 10 does not improve fn. Exiting optimization.

----------------------------------------------------------------------------- Random Parameters Logit Model Dependent variable CHOICE Weighting variable W_VAR Log likelihood function -560.19052 Restricted log likelihood -779.04062 Chi squared [ 12 d.f.] 437.70020 Significance level .00000 McFadden Pseudo R-squared .2809226 Estimation based on N = 720, K = 12 Inf.Cr.AIC = 1144.4 AIC/N = 1.589 Model estimated: Nov 11, 2012, 18:45:49 Constants only must be computed directly

Use NLOGIT ;...;RHS=ONE$
At start values -681.6663 .1782****** Response data are given as ind. choices Replications for simulated probs. = 300 Halton sequences used for simulations RPL model with panel has 252 groups Variable number of obs./group =NUM_R BHHH estimator used for asymp. variance Number of obs.= 720, skipped 0 obs

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| Standard Prob. 95% Confidence CHOICE| Coefficient Error z |z|>Z* Interval

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|Random parameters in utility functions NEITHER| .09136 .49530 .18 .8537 -.87940 1.06212 COM_FISH| .22126** .08743 2.53 .0114 .04990 .39263 FISH_POP| .23046** .10239 2.25 .0244 .02978 .43114 FISH_SAV| .03293*** .00944 3.49 .0005 .01443 .05144 AQUATIC| .39788*** .11490 3.46 .0005 .17268 .62309

|Nonrandom parameters in utility functions IHS_FISH| .45716** .19859 2.30 .0213 .06793 .84639 COST| -.04785*** .00850 -5.63 .0000 -.06451 -.03118 |Distns. of RPs. Std.Devs or limits of triangular NsNEITHE| .00121 2.55119 .00 .9996 -4.99903 5.00144 NsCOM_FI| .67107*** .15389 4.36 .0000 .36945 .97270 NsFISH_P| .02076 .67363 .03 .9754 -1.29952 1.34104 NsFISH_S| .06901*** .01633 4.23 .0000 .03701 .10101 NsAQUATI| .56330*** .19259 2.92 .0034 .18584 .9407713

--------+-------------------------------------------------------------------- Note: ***, **, * ==> Significance at 1%, 5%, 10% level.

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******************************************************************************************************* National Survey Version

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|-> RESET $ |-> LOAD ; File="D:\Rob Johnston\Applied Research and Development\Wetland\SP and BT 2009\Data Analysis\all_reg_model_data_w_wgts_071112.lpj"$ Project file contained 20817 observations. |-> CALC ; Ran(12345) $ |-> CREATE ; If(option=0) Neither=1; (Else) Neither=0 $ |-> CREATE ; fish_sq = fish_sav*fish_sav $ |-> REJECT; region = 1 $ |-> REJECT; region = 2 $ |-> REJECT; region = 3 $ |-> REJECT; region = 4 $ |-> CREATE ; ihs_fish = Log(fish_sav + sqr((fish_sav *fish_sav)+1))$ |-> CREATE; newind=Ndx(id,0) $ |-> CREATE; z = GroupMean(choice, str=newind) $

+-----------------------------------------------------------------+ | Variable = ____________ Variable Groups Max Min Average | | Z Group means CHOICE 288 9 9 9.0 |

+-----------------------------------------------------------------+ |-> CREATE; num_r=z*9 $ |-> REJECT; num_r = 0 $ |-> REJECT; choice = -999 $ |-> REJECT; response = -999 $ |-> REJECT; w_var = -999 $ |-> NLOGIT ; Lhs = Choice ; Choices = A,B,Neither ; Rhs = neither, com_fish, fish_pop, fish_sav, ihs_fish, aquatic,
cost ; RPL ; Fcn = neither(N), com_fish(N), fish_pop(N), fish_sav(N), aquatic(N) ; Parameters ; Pds = num_r ; Pts = 300 ; Maxit = 1000 ; Halton ; Wts = w_var $ Normal exit: 4 iterations. Status=0, F= 814.4670

----------------------------------------------------------------------------- Start values obtained using MNL model Dependent variable Choice Weighting variable W_VAR Log likelihood function -814.46699 Estimation based on N = 789, K = 7 Inf.Cr.AIC = 1642.9 AIC/N = 2.082 Model estimated: Nov 11, 2012, 18:45:51 R2=1-LogL/LogL* Log-L fncn R-sqrd R2Adj Constants only must be computed directly

Use NLOGIT ;...;RHS=ONE$ Response data are given as ind. choices Number of obs.= 789, skipped 0 obs

--------+--------------------------------------------------------------------15 | Standard Prob. 95% Confidence CHOICE| Coefficient Error z |z|>Z* Interval

--------+-------------------------------------------------------------------- NEITHER| -2.07702 1.93512 -1.07 .2831 -5.86978 1.71574 COM_FISH| .05297* .02781 1.90 .0568 -.00154 .10748 FISH_POP| .01231 .04301 .29 .7747 -.07198 .09660 FISH_SAV| .02446** .01042 2.35 .0189 .00404 .04489 AQUATIC| .01304 .04334 .30 .7635 -.07191 .09798 IHS_FISH| -.58672 .54606 -1.07 .2826 -1.65697 .48353 COST| -.01766*** .00277 -6.37 .0000 -.02310 -.01223

--------+-------------------------------------------------------------------- Note: ***, **, * ==> Significance at 1%, 5%, 10% level.

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Normal exit: 41 iterations. Status=0, F= 632.4029

----------------------------------------------------------------------------- Random Parameters Logit Model Dependent variable CHOICE Weighting variable W_VAR Log likelihood function -632.40292 Restricted log likelihood -864.47725 Chi squared [ 12 d.f.] 464.14865 Significance level .00000 McFadden Pseudo R-squared .2684563 Estimation based on N = 789, K = 12 Inf.Cr.AIC = 1288.8 AIC/N = 1.633 Model estimated: Nov 11, 2012, 18:56:15 Constants only must be computed directly

Use NLOGIT ;...;RHS=ONE$
At start values -814.4670 .2235****** Response data are given as ind. choices Replications for simulated probs. = 300 Halton sequences used for simulations RPL model with panel has 272 groups Variable number of obs./group =NUM_R Number of obs.= 789, skipped 0 obs

--------+--------------------------------------------------------------------

| Standard Prob. 95% Confidence CHOICE| Coefficient Error z |z|>Z* Interval

--------+--------------------------------------------------------------------

|Random parameters in utility functions NEITHER| -5.91068** 3.00504 -1.97 .0492 -11.80044 -.02091 COM_FISH| .08183* .04212 1.94 .0520 -.00071 .16438 FISH_POP| .07156 .06846 1.05 .2959 -.06262 .20573 FISH_SAV| .04092** .01618 2.53 .0114 .00921 .07263 AQUATIC| .07710 .07146 1.08 .2807 -.06297 .21716

|Nonrandom parameters in utility functions IHS_FISH| -.80333 .81468 -.99 .3241 -2.40006 .79340 COST| -.02938*** .00498 -5.90 .0000 -.03914 -.01962 |Distns. of RPs. Std.Devs or limits of triangular NsNEITHE| 8.09525*** 1.47200 5.50 .0000 5.21019 10.98032 NsCOM_FI| .08471 .13667 .62 .5354 -.18315 .35257 NsFISH_P| .22482 .18919 1.19 .2347 -.14599 .59562 NsFISH_S| .03325*** .00690 4.82 .0000 .01974 .04677 NsAQUATI| .33602** .16481 2.04 .0415 .01300 .65905

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Note: ***, **, * ==> Significance at 1%, 5%, 10% level.

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