1

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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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2

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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.

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

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

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

| Standard Prob. 95% Confidence

CHOICE| Coefficient Error z |z|>Z* Interval

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

|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 1.14131
4

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

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

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5

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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.

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

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

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

| Standard Prob. 95% Confidence

CHOICE| Coefficient Error z |z|>Z* Interval

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

|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 .98791
7

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

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

-----------------------------------------------------------------------------
8

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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.

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

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

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

| Standard Prob. 95% Confidence

CHOICE| Coefficient Error z |z|>Z* Interval

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

|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

--------+--------------------------------------------------------------------
10

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

-----------------------------------------------------------------------------
11

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Pacific Region

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

|-> 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.

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

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

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

| Standard Prob. 95% Confidence

CHOICE| Coefficient Error z |z|>Z* Interval

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

|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 .94077
13

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

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

-----------------------------------------------------------------------------
14

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

National Survey Version

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

|-> 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.

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

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

--------+--------------------------------------------------------------------
16

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

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