1

*******************************************************************************************************

******************************************************************************************************* Lin_ML_NLOGIT5_results_3.27.13.docx Author: Abt Associates Inc. Created: 3/27/2013 Purpose: This file presents the NLOGIT5 code and output for linear mixed logit models estimated based on the 316(b) stated preference survey data. This file includes results for all survey regions including the national survey version.

*******************************************************************************************************

*******************************************************************************************************2

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

*******************************************************************************************************

|-> RESET $ |-> LOAD ; File="H:\ERD\TYCHE Contract\Assignments\WA 2-15 (316b Benefits & SP Study)\Task 4 - Stated Pref Survey\07 Peer Review\Post-peer review anal 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 = 3 $ |-> REJECT; region = 4 $ |-> REJECT; region = 5 $ |-> 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 $ |-> NLOGIT ; Lhs = Choice ; Choices = A,B,Neither ; Rhs = neither, com_fish, fish_pop, fish_sav, aquatic, cost ; RPL ; Fcn = neither(N), com_fish(N), fish_pop(N), fish_sav(N), aquatic(N)
; Parameters ; Correlation ; Pds = num_r ; Pts = 300 ; Maxit = 1000 ; Halton $ Normal exit: 4 iterations. Status=0, F= 1149.010

----------------------------------------------------------------------------- Start values obtained using MNL model Dependent variable Choice Log likelihood function -1149.00961 Estimation based on N = 1127, K = 6 Inf.Cr.AIC = 2310.0 AIC/N = 2.050 Model estimated: Mar 27, 2013, 13:11:06 R2=1-LogL/LogL* Log-L fncn R-sqrd R2Adj Constants only -1212.1328 .0521 .0432 Response data are given as ind. choices Number of obs.= 1127, skipped 0 obs

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

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

--------+-------------------------------------------------------------------- NEITHER| -.04758 .17615 -.27 .7871 -.39282 .29766 COM_FISH| .05078** .02287 2.22 .0264 .00596 .095613

FISH_POP| -.01563 .03606 -.43 .6646 -.08632 .05505 FISH_SAV| .01261*** .00126 10.00 .0000 .01014 .01509 AQUATIC| .09012** .03627 2.48 .0130 .01904 .16121 COST| -.01328*** .00230 -5.77 .0000 -.01779 -.00877

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

-----------------------------------------------------------------------------

Line search at iteration 13 does not improve fn. Exiting optimization.

----------------------------------------------------------------------------- Random Parameters Logit Model Dependent variable CHOICE Log likelihood function -946.89472 Restricted log likelihood -1238.13605 Chi squared [ 21 d.f.] 582.48265 Significance level .00000 McFadden Pseudo R-squared .2352256 Estimation based on N = 1127, K = 21 Inf.Cr.AIC = 1935.8 AIC/N = 1.718 Model estimated: Mar 27, 2013, 13:30:50 R2=1-LogL/LogL* Log-L fncn R-sqrd R2Adj
No coefficients -1238.1360 .2352 .2280 Constants only -1212.1328 .2188 .2115
At start values -1149.0096 .1759 .1682 Response data are given as ind. choices Replications for simulated probs. = 300 Halton sequences used for simulations RPL model with panel has 391 groups Variable number of obs./group =NUM_R BHHH estimator used for asymp. variance Number of obs.= 1127, skipped 0 obs

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

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

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

|Random parameters in utility functions NEITHER| -.56919 .42972 -1.32 .1853 -1.41144 .27305 COM_FISH| .13145* .06765 1.94 .0520 -.00115 .26404 FISH_POP| .13602 .10508 1.29 .1955 -.06993 .34197 FISH_SAV| .02852*** .00537 5.31 .0000 .01799 .03905 AQUATIC| .17102 .10955 1.56 .1185 -.04368 .38573

|Nonrandom parameters in utility functions COST| -.02677*** .00513 -5.21 .0000 -.03683 -.01670 |Diagonal values in Cholesky matrix, L. NsNEITHE| .37257 1.01103 .37 .7125 -1.60901 2.35415 NsCOM_FI| .33999*** .12781 2.66 .0078 .08948 .59050 NsFISH_P| .13862 .41291 .34 .7371 -.67067 .94791 NsFISH_S| .00905 .02755 .33 .7425 -.04494 .06305 NsAQUATI| .01195 .79388 .02 .9880 -1.54403 1.56793

|Below diagonal values in L matrix. V = L*Lt COM_:NEI| -.27252 .17195 -1.58 .1130 -.60953 .06449 FISH:NEI| -.45360* .23161 -1.96 .0502 -.90754 .00034 FISH:COM| .19175 .23733 .81 .4191 -.27341 .65691 FIS0:NEI| -.03597** .01504 -2.39 .0167 -.06545 -.00650 FIS0:COM| .03279* .01948 1.68 .0922 -.00538 .07097 FISH:FIS| -.02933 .03232 -.91 .3642 -.09267 .034014

AQUA:NEI| -.56692* .29401 -1.93 .0538 -1.14316 .00932 AQUA:COM| -.16970 .27289 -.62 .5340 -.70456 .36516 AQUA:FIS| -.01169 .60928 -.02 .9847 -1.20586 1.18249 AQU0:FIS| -.18190 .55693 -.33 .7440 -1.27347 .90966

|Standard deviations of parameter distributions sdNEITHE| .37257 1.01103 .37 .7125 -1.60901 2.35415 sdCOM_FI| .43573*** .12740 3.42 .0006 .18604 .68543 sdFISH_P| .51160** .21996 2.33 .0200 .08049 .94271 sdFISH_S| .05755** .02241 2.57 .0102 .01363 .10146 sdAQUATI| .61933*** .22791 2.72 .0066 .17263 1.06602

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

-----------------------------------------------------------------------------

--------+-------------------------------------------- Cor.Mat.| NEITHER COM_FISH FISH_POP FISH_SAV AQUATIC

--------+-------------------------------------------- NEITHER| 1.00000 -.62544 -.88663 -.62514 -.91538 COM_FISH| -.62544 1.00000 .84697 .83564 .35871 FISH_POP| -.88663 .84697 1.00000 .62977 .70379 FISH_SAV| -.62514 .83564 .62977 1.00000 .37951 AQUATIC| -.91538 .35871 .70379 .37951 1.000005

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

*******************************************************************************************************

|-> RESET $ |-> LOAD ; File="H:\ERD\TYCHE Contract\Assignments\WA 2-15 (316b Benefits & SP Study)\Task 4 - Stated Pref Survey\07 Peer Review\Post-peer review anal 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 = 3 $ |-> REJECT; region = 4 $ |-> REJECT; region = 5 $ |-> 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 $ |-> NLOGIT ; Lhs = Choice ; Choices = A,B,Neither ; Rhs = neither, com_fish, fish_pop, fish_sav, aquatic, cost ; RPL ; Fcn = neither(N), com_fish(N), fish_pop(N), fish_sav(N), aquatic(N)
; Parameters ; Correlation ; Pds = num_r ; Pts = 300 ; Maxit = 1000 ; Halton $ Normal exit: 4 iterations. Status=0, F= 1444.082

----------------------------------------------------------------------------- Start values obtained using MNL model Dependent variable Choice Log likelihood function -1444.08230 Estimation based on N = 1389, K = 6 Inf.Cr.AIC = 2900.2 AIC/N = 2.088 Model estimated: Mar 27, 2013, 13:11:44 R2=1-LogL/LogL* Log-L fncn R-sqrd R2Adj Constants only -1519.7592 .0498 .0426 Response data are given as ind. choices Number of obs.= 1389, skipped 0 obs

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

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

--------+-------------------------------------------------------------------- NEITHER| .17407 .17028 1.02 .3067 -.15968 .50782 COM_FISH| .02977 .02095 1.42 .1552 -.01128 .070836

FISH_POP| .01207 .03268 .37 .7118 -.05197 .07612 FISH_SAV| .01387*** .00158 8.78 .0000 .01078 .01697 AQUATIC| .10495*** .03309 3.17 .0015 .04010 .16980 COST| -.02084*** .00213 -9.78 .0000 -.02502 -.01666

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

-----------------------------------------------------------------------------

Line search at iteration 16 does not improve fn. Exiting optimization.

----------------------------------------------------------------------------- Random Parameters Logit Model Dependent variable CHOICE Log likelihood function -1155.01295 Restricted log likelihood -1525.97247 Chi squared [ 21 d.f.] 741.91904 Significance level .00000 McFadden Pseudo R-squared .2430971 Estimation based on N = 1389, K = 21 Inf.Cr.AIC = 2352.0 AIC/N = 1.693 Model estimated: Mar 27, 2013, 13:36:40 R2=1-LogL/LogL* Log-L fncn R-sqrd R2Adj
No coefficients -1525.9725 .2431 .2373 Constants only -1519.7592 .2400 .2342
At start values -1444.0823 .2002 .1941 Response data are given as ind. choices Replications for simulated probs. = 300 Halton sequences used for simulations RPL model with panel has 483 groups Variable number of obs./group =NUM_R BHHH estimator used for asymp. variance Number of obs.= 1389, skipped 0 obs

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

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

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

|Random parameters in utility functions NEITHER| -.19920 .30806 -.65 .5179 -.80299 .40459 COM_FISH| .12662*** .04660 2.72 .0066 .03528 .21796 FISH_POP| .14670** .06364 2.31 .0212 .02196 .27143 FISH_SAV| .02183*** .00462 4.73 .0000 .01278 .03089 AQUATIC| .24591*** .07741 3.18 .0015 .09419 .39762

|Nonrandom parameters in utility functions COST| -.03868*** .00417 -9.27 .0000 -.04686 -.03050 |Diagonal values in Cholesky matrix, L. NsNEITHE| .00256 4.10600 .00 .9995 -8.04506 8.05018 NsCOM_FI| .26720*** .08472 3.15 .0016 .10115 .43325 NsFISH_P| .00053 .56151 .00 .9992 -1.10000 1.10106 NsFISH_S| .01474 .01730 .85 .3943 -.01917 .04864 NsAQUATI| .10110 .97909 .10 .9178 -1.81787 2.02008

|Below diagonal values in L matrix. V = L*Lt COM_:NEI| .01697 .53383 .03 .9746 -1.02931 1.06325 FISH:NEI| -.02296 .76357 -.03 .9760 -1.51953 1.47361 FISH:COM| -.04206 .13328 -.32 .7523 -.30328 .21916 FIS0:NEI| -.00023 .05320 .00 .9965 -.10450 .10403 FIS0:COM| -.05434*** .01073 -5.07 .0000 -.07536 -.03332 FISH:FIS| .00870 .03932 .22 .8250 -.06837 .085767

AQUA:NEI| -.03153 1.02189 -.03 .9754 -2.03441 1.97134 AQUA:COM| -.08306 .16507 -.50 .6148 -.40660 .24048 AQUA:FIS| .00531 .81221 .01 .9948 -1.58659 1.59722 AQU0:FIS| -.43624 .30040 -1.45 .1465 -1.02501 .15254

|Standard deviations of parameter distributions sdNEITHE| .00256 4.10600 .00 .9995 -8.04506 8.05018 sdCOM_FI| .26774*** .09727 2.75 .0059 .07709 .45838 sdFISH_P| .04792 .39545 .12 .9035 -.72714 .82298 sdFISH_S| .05697*** .01339 4.25 .0000 .03072 .08322 sdAQUATI| .45656*** .12343 3.70 .0002 .21463 .69849

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

-----------------------------------------------------------------------------

--------+-------------------------------------------- Cor.Mat.| NEITHER COM_FISH FISH_POP FISH_SAV AQUATIC

--------+-------------------------------------------- NEITHER| 1.00000 .06338 -.47907 -.00409 -.06906 COM_FISH| .06338 1.00000 -.90630 -.95217 -.18594 FISH_POP| -.47907 -.90630 1.00000 .84082 .19289 FISH_SAV| -.00409 -.95217 .84082 1.00000 -.07155 AQUATIC| -.06906 -.18594 .19289 -.07155 1.000008

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

*******************************************************************************************************

|-> RESET $ |-> LOAD ; File="H:\ERD\TYCHE Contract\Assignments\WA 2-15 (316b Benefits & SP Study)\Task 4 - Stated Pref Survey\07 Peer Review\Post-peer review anal 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 = 4 $ |-> REJECT; region = 5 $ |-> 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 $ |-> NLOGIT ; Lhs = Choice ; Choices = A,B,Neither ; Rhs = neither, com_fish, fish_pop, fish_sav, aquatic, cost ; RPL ; Fcn = neither(N), com_fish(N), fish_pop(N), fish_sav(N), aquatic(N)
; Parameters ; Correlation ; Pds = num_r ; Pts = 300 ; Maxit = 1000 ; Halton $ Normal exit: 4 iterations. Status=0, F= 2312.653

----------------------------------------------------------------------------- Start values obtained using MNL model Dependent variable Choice Log likelihood function -2312.65340 Estimation based on N = 2180, K = 6 Inf.Cr.AIC = 4637.3 AIC/N = 2.127 Model estimated: Mar 27, 2013, 13:12:11 R2=1-LogL/LogL* Log-L fncn R-sqrd R2Adj Constants only -2375.8608 .0266 .0219 Response data are given as ind. choices Number of obs.= 2180, skipped 0 obs

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

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

--------+-------------------------------------------------------------------- NEITHER| .23330 .18451 1.26 .2061 -.12832 .59493 COM_FISH| .02490 .01634 1.52 .1277 -.00714 .056939

FISH_POP| -.01017 .02575 -.39 .6929 -.06065 .04031 FISH_SAV| .01242*** .00201 6.17 .0000 .00847 .01637 AQUATIC| .08714*** .02585 3.37 .0007 .03648 .13779 COST| -.01791*** .00166 -10.76 .0000 -.02118 -.01465

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

-----------------------------------------------------------------------------

Line search at iteration 50 does not improve fn. Exiting optimization.

----------------------------------------------------------------------------- Random Parameters Logit Model Dependent variable CHOICE Log likelihood function -1799.00579 Restricted log likelihood -2394.97479 Chi squared [ 21 d.f.] 1191.93800 Significance level .00000 McFadden Pseudo R-squared .2488415 Estimation based on N = 2180, K = 21 Inf.Cr.AIC = 3640.0 AIC/N = 1.670 Model estimated: Mar 27, 2013, 13:43:03 R2=1-LogL/LogL* Log-L fncn R-sqrd R2Adj
No coefficients -2394.9748 .2488 .2452 Constants only -2375.8608 .2428 .2391
At start values -2312.6534 .2221 .2183 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

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

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

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

|Random parameters in utility functions NEITHER| -3.56478*** .58123 -6.13 .0000 -4.70396 -2.42559 COM_FISH| .06082** .02946 2.06 .0390 .00308 .11857 FISH_POP| .02175 .04405 .49 .6215 -.06458 .10808 FISH_SAV| .01483*** .00439 3.38 .0007 .00622 .02344 AQUATIC| .04630 .05036 .92 .3579 -.05240 .14500

|Nonrandom parameters in utility functions COST| -.03356*** .00298 -11.24 .0000 -.03940 -.02771 |Diagonal values in Cholesky matrix, L. NsNEITHE| 5.91389*** .97758 6.05 .0000 3.99787 7.82991 NsCOM_FI| .12211* .06541 1.87 .0619 -.00610 .25032 NsFISH_P| .04180 .07226 .58 .5629 -.09982 .18342 NsFISH_S| .00651 .00994 .65 .5127 -.01297 .02598 NsAQUATI| .01888 .12100 .16 .8760 -.21828 .25603

|Below diagonal values in L matrix. V = L*Lt COM_:NEI| .00368 .05809 .06 .9495 -.11018 .11754 FISH:NEI| .06056 .07893 .77 .4430 -.09415 .21527 FISH:COM| -.00861 .09349 -.09 .9266 -.19185 .17462 FIS0:NEI| -.00280 .00815 -.34 .7314 -.01877 .01318 FIS0:COM| -.01221 .01058 -1.15 .2483 -.03295 .00852 FISH:FIS| -.04627*** .00657 -7.04 .0000 -.05915 -.03339 AQUA:NEI| -.30583*** .10392 -2.94 .0033 -.50951 -.1021610

AQUA:COM| -.31353*** .10801 -2.90 .0037 -.52522 -.10183 AQUA:FIS| -.08142 .09646 -.84 .3986 -.27048 .10763 AQU0:FIS| .00598 .15266 .04 .9688 -.29324 .30520

|Standard deviations of parameter distributions sdNEITHE| 5.91389*** .97758 6.05 .0000 3.99787 7.82991 sdCOM_FI| .12217* .06487 1.88 .0596 -.00497 .24931 sdFISH_P| .07409 .07769 .95 .3402 -.07817 .22635 sdFISH_S| .04838*** .00615 7.87 .0000 .03632 .06043 sdAQUATI| .44593*** .08826 5.05 .0000 .27295 .61891

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

-----------------------------------------------------------------------------

--------+-------------------------------------------- Cor.Mat.| NEITHER COM_FISH FISH_POP FISH_SAV AQUATIC

--------+-------------------------------------------- NEITHER| 1.00000 .03014 .81738 -.05782 -.68583 COM_FISH| .03014 1.00000 -.09156 -.25410 -.72343 FISH_POP| .81738 -.09156 1.00000 -.55759 -.58188 FISH_SAV| -.05782 -.25410 -.55759 1.00000 .39361 AQUATIC| -.68583 -.72343 -.58188 .39361 1.0000011

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

*******************************************************************************************************

|-> RESET $ |-> LOAD ; File="H:\ERD\TYCHE Contract\Assignments\WA 2-15 (316b Benefits & SP Study)\Task 4 - Stated Pref Survey\07 Peer Review\Post-peer review anal 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 = 5 $ |-> 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 $ |-> NLOGIT ; Lhs = Choice ; Choices = A,B,Neither ; Rhs = neither, com_fish, fish_pop, fish_sav, aquatic, cost ; RPL ; Fcn = neither(N), com_fish(N), fish_pop(N), fish_sav(N), aquatic(N)
; Parameters ; Correlation ; Pds = num_r ; Pts = 300 ; Maxit = 1000 ; Halton $ Normal exit: 5 iterations. Status=0, F= 785.6061

----------------------------------------------------------------------------- Start values obtained using MNL model Dependent variable Choice Log likelihood function -785.60610 Estimation based on N = 812, K = 6 Inf.Cr.AIC = 1583.2 AIC/N = 1.950 Model estimated: Mar 27, 2013, 13:12:33 R2=1-LogL/LogL* Log-L fncn R-sqrd R2Adj Constants only -867.2195 .0941 .0822 Response data are given as ind. choices Number of obs.= 812, skipped 0 obs

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

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

--------+-------------------------------------------------------------------- NEITHER| .25642 .21039 1.22 .2229 -.15595 .66878 COM_FISH| .03013 .02788 1.08 .2799 -.02452 .0847812

FISH_POP| .06417 .04367 1.47 .1417 -.02142 .14977 FISH_SAV| .01730*** .00152 11.40 .0000 .01432 .02027 AQUATIC| .14388*** .04453 3.23 .0012 .05660 .23116 COST| -.01651*** .00289 -5.70 .0000 -.02218 -.01083

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

-----------------------------------------------------------------------------

Line search at iteration 18 does not improve fn. Exiting optimization.

----------------------------------------------------------------------------- Random Parameters Logit Model Dependent variable CHOICE Log likelihood function -602.70286 Restricted log likelihood -892.07318 Chi squared [ 21 d.f.] 578.74063 Significance level .00000 McFadden Pseudo R-squared .3243796 Estimation based on N = 812, K = 21 Inf.Cr.AIC = 1247.4 AIC/N = 1.536 Model estimated: Mar 27, 2013, 13:36:35 R2=1-LogL/LogL* Log-L fncn R-sqrd R2Adj
No coefficients -892.0732 .3244 .3155 Constants only -867.2195 .3050 .2959
At start values -785.6061 .2328 .2228 Response data are given as ind. choices Replications for simulated probs. = 300 Halton sequences used for simulations RPL model with panel has 285 groups Variable number of obs./group =NUM_R BHHH estimator used for asymp. variance Number of obs.= 812, skipped 0 obs

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

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

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

|Random parameters in utility functions NEITHER| .18220 .45022 .40 .6857 -.70020 1.06461 COM_FISH| .15056** .07282 2.07 .0387 .00784 .29327 FISH_POP| .21176* .11078 1.91 .0559 -.00536 .42888 FISH_SAV| .04389*** .00698 6.29 .0000 .03022 .05756 AQUATIC| .34171*** .11007 3.10 .0019 .12597 .55744

|Nonrandom parameters in utility functions COST| -.02756*** .00518 -5.32 .0000 -.03771 -.01741 |Diagonal values in Cholesky matrix, L. NsNEITHE| .09866 1.02078 .10 .9230 -1.90205 2.09936 NsCOM_FI| .05148 .54996 .09 .9254 -1.02641 1.12937 NsFISH_P| .03433 .89818 .04 .9695 -1.72606 1.79472 NsFISH_S| .03811 .03435 1.11 .2672 -.02921 .10543 NsAQUATI| .03108 1.29590 .02 .9809 -2.50885 2.57100

|Below diagonal values in L matrix. V = L*Lt COM_:NEI| .29657 .22843 1.30 .1942 -.15114 .74428 FISH:NEI| .21922 .33024 .66 .5068 -.42803 .86647 FISH:COM| -.03956 1.30135 -.03 .9758 -2.59016 2.51105 FIS0:NEI| .03428* .01985 1.73 .0843 -.00463 .07319 FIS0:COM| .00758 .03421 .22 .8246 -.05946 .07462 FISH:FIS| .01381 .03904 .35 .7236 -.06271 .0903313

AQUA:NEI| .28183 .33992 .83 .4070 -.38439 .94806 AQUA:COM| -.04331 1.06543 -.04 .9676 -2.13152 2.04490 AQUA:FIS| -.04100 .91836 -.04 .9644 -1.84095 1.75895 AQU0:FIS| -.21204 .43295 -.49 .6243 -1.06061 .63652

|Standard deviations of parameter distributions sdNEITHE| .09866 1.02078 .10 .9230 -1.90205 2.09936 sdCOM_FI| .30101 .30183 1.00 .3186 -.29057 .89258 sdFISH_P| .22539 .41340 .55 .5856 -.58486 1.03564 sdFISH_S| .05362 .04330 1.24 .2156 -.03124 .13849 sdAQUATI| .35905 .57884 .62 .5351 -.77546 1.49355

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

-----------------------------------------------------------------------------

--------+-------------------------------------------- Cor.Mat.| NEITHER COM_FISH FISH_POP FISH_SAV AQUATIC

--------+-------------------------------------------- NEITHER| 1.00000 .98527 .97263 .63920 .78495 COM_FISH| .98527 1.00000 .92828 .65396 .75275 FISH_POP| .97263 .92828 1.00000 .63610 .76724 FISH_SAV| .63920 .65396 .63610 1.00000 .03554 AQUATIC| .78495 .75275 .76724 .03554 1.0000014

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

*******************************************************************************************************

|-> RESET $ |-> LOAD ; File="H:\ERD\TYCHE Contract\Assignments\WA 2-15 (316b Benefits & SP Study)\Task 4 - Stated Pref Survey\07 Peer Review\Post-peer review anal 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; 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 $ |-> NLOGIT ; Lhs = Choice ; Choices = A,B,Neither ; Rhs = neither, com_fish, fish_pop, fish_sav, aquatic, cost ; RPL ; Fcn = neither(N), com_fish(N), fish_pop(N), fish_sav(N), aquatic(N)
; Parameters ; Correlation ; Pds = num_r ; Pts = 300 ; Maxit = 1000 ; Halton $ Normal exit: 4 iterations. Status=0, F= 823.1674

----------------------------------------------------------------------------- Start values obtained using MNL model Dependent variable Choice Log likelihood function -823.16744 Estimation based on N = 789, K = 6 Inf.Cr.AIC = 1658.3 AIC/N = 2.102 Model estimated: Mar 27, 2013, 13:13:04 R2=1-LogL/LogL* Log-L fncn R-sqrd R2Adj Constants only -858.1651 .0408 .0278 Response data are given as ind. choices Number of obs.= 789, skipped 0 obs

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

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

--------+-------------------------------------------------------------------- NEITHER| .01976 .21987 .09 .9284 -.41117 .45069 COM_FISH| .05102* .02732 1.87 .0618 -.00253 .1045615

FISH_POP| .01815 .04282 .42 .6717 -.06577 .10206 FISH_SAV| .01288*** .00194 6.64 .0000 .00908 .01668 AQUATIC| .00398 .04297 .09 .9262 -.08024 .08821 COST| -.01597*** .00274 -5.82 .0000 -.02134 -.01059

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

-----------------------------------------------------------------------------

Line search at iteration 18 does not improve fn. Exiting optimization.

----------------------------------------------------------------------------- Random Parameters Logit Model Dependent variable CHOICE Log likelihood function -660.03931 Restricted log likelihood -866.80510 Chi squared [ 21 d.f.] 413.53157 Significance level .00000 McFadden Pseudo R-squared .2385378 Estimation based on N = 789, K = 21 Inf.Cr.AIC = 1362.1 AIC/N = 1.726 Model estimated: Mar 27, 2013, 13:24:01 R2=1-LogL/LogL* Log-L fncn R-sqrd R2Adj
No coefficients -866.8051 .2385 .2283 Constants only -858.1651 .2309 .2205
At start values -823.1674 .1982 .1874 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 BHHH estimator used for asymp. variance Number of obs.= 789, skipped 0 obs

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

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

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

|Random parameters in utility functions NEITHER| -2.09328*** .45875 -4.56 .0000 -2.99242 -1.19414 COM_FISH| .08925 .06077 1.47 .1419 -.02986 .20836 FISH_POP| .02838 .10735 .26 .7915 -.18202 .23879 FISH_SAV| .02241*** .00585 3.83 .0001 .01093 .03388 AQUATIC| -.12105 .11085 -1.09 .2748 -.33831 .09621

|Nonrandom parameters in utility functions COST| -.03739*** .00520 -7.19 .0000 -.04758 -.02719 |Diagonal values in Cholesky matrix, L. NsNEITHE| .18221 2.51713 .07 .9423 -4.75128 5.11570 NsCOM_FI| .25789 .23968 1.08 .2819 -.21186 .72765 NsFISH_P| .42440 .70213 .60 .5456 -.95176 1.80055 NsFISH_S| .04638*** .01622 2.86 .0043 .01458 .07818 NsAQUATI| .09169 1.05598 .09 .9308 -1.97800 2.16138

|Below diagonal values in L matrix. V = L*Lt COM_:NEI| .08478 .67488 .13 .9000 -1.23796 1.40752 FISH:NEI| .24647 1.59495 .15 .8772 -2.87958 3.37252 FISH:COM| -.23771 .41405 -.57 .5659 -1.04922 .57381 FIS0:NEI| .00720 .05298 .14 .8919 -.09665 .11104 FIS0:COM| -.02694 .02251 -1.20 .2315 -.07107 .01719 FISH:FIS| -.01058 .03803 -.28 .7808 -.08513 .0639616

AQUA:NEI| .17645 1.11942 .16 .8748 -2.01757 2.37047 AQUA:COM| .01383 .45501 .03 .9757 -.87798 .90564 AQUA:FIS| -.08445 .69582 -.12 .9034 -1.44823 1.27934 AQU0:FIS| -.78306** .32141 -2.44 .0148 -1.41302 -.15311

|Standard deviations of parameter distributions sdNEITHE| .18221 2.51713 .07 .9423 -4.75128 5.11570 sdCOM_FI| .27147 .41960 .65 .5176 -.55092 1.09387 sdFISH_P| .54531 1.33621 .41 .6832 -2.07362 3.16424 sdFISH_S| .05514*** .01773 3.11 .0019 .02040 .08989 sdAQUATI| .81244 .53981 1.51 .1323 -.24557 1.87045

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

-----------------------------------------------------------------------------

--------+-------------------------------------------- Cor.Mat.| NEITHER COM_FISH FISH_POP FISH_SAV AQUATIC

--------+-------------------------------------------- NEITHER| 1.00000 .31229 .45198 .13052 .21719 COM_FISH| .31229 1.00000 -.27296 -.42336 .08400 FISH_POP| .45198 -.27296 1.00000 .12261 .00985 FISH_SAV| .13052 -.42336 .12261 1.00000 -.77071 AQUATIC| .21719 .08400 .00985 -.77071 1.00000