### File Name: Inland Model Results and Implicit Prices.docx

Author: Robert Johnston, Clark University Created: March 19, 2012 Purpose: Presents results for the Inland regional model and implicit prices.
Inland Model and Implicit Prices Cost Parameter Fixed, Free Correlation Among Random Coefficients (Matches Northeast Model Specification)

Random Parameters Logit Model Dependent variable CHOICE Log likelihood function -1790.27179 Restricted log likelihood -2285.11356 Chi squared [ 21 d.f.] 989.68353 Significance level .00000 McFadden Pseudo R-squared .2165502 Estimation based on N = 2080, K = 21 Information Criteria: Normalization=1/N

Normalized Unnormalized AIC 1.74161 3622.54359 Fin.Smpl.AIC 1.74182 3622.99257 Bayes IC 1.79855 3740.98617 Hannan Quinn 1.76247 3665.94696 Model estimated: Mar 18, 2012, 18:37:35 R2=1-LogL/LogL* Log-L fncn R-sqrd R2Adj No coefficients -2285.1136 .2166 .2126 Constants only -2267.8287 .2106 .2066 At start values -2209.1886 .1896 .1855 Response data are given as ind. choices Replications for simulated probs. = 300 Halton sequences used for simulations RPL model with panel has 721 groups Variable number of obs./group =NUM_R Hessian is not PD. Using BHHH estimator Number of obs.= 2080, skipped 0 obs

--------+-------------------------------------------------- Variable| Coefficient Standard Error b/St.Er. P[|Z|>z]

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

|Random parameters in utility functions NEITHER| -.25032 .35323 -.709 .4785 COM_FISH| .09898*** .03205 3.088 .0020 FISH_POP| .11198** .05370 2.085 .0370 FISH_SAV| .02470*** .00427 5.788 .0000 AQUATIC| .08669 .06599 1.314 .1890

|Nonrandom parameters in utility functions COST| -.03186*** .00272 -11.709 .0000 |Diagonal values in Cholesky matrix, L. NsNEITHE| .02650 2.01575 .013 .9895 NsCOM_FI| .00926 .33823 .027 .9782 NsFISH_P| .05860 .14788 .396 .6919 NsFISH_S| .03563 .02384 1.494 .1351 NsAQUATI| .04679 .69389 .067 .9462

|Below diagonal values in L matrix. V = L*Lt COM_:NEI| .07264 .15307 .475 .6351 FISH:NEI| -.03065 .29751 -.103 .9180FISH:COM| .02055 .32642 .063 .9498

FIS0:NEI| .00968 .03516 .275 .7831 FIS0:COM| -.00278 .02608 -.107 .9151 FISH:FIS| .03626 .02655 1.366 .1720 AQUA:NEI| .09161 .50491 .181 .8560 AQUA:COM| -.14490 .69692 -.208 .8353 AQUA:FIS| .41350 .58713 .704 .4813 AQU0:FIS| .27367 .52391 .522 .6014

|Standard deviations of parameter distributions sdNEITHE| .02650 2.01575 .013 .9895 sdCOM_FI| .07322 .16944 .432 .6656 sdFISH_P| .06925 .20775 .333 .7389 sdFISH_S| .05182*** .00773 6.706 .0000 sdAQUATI| .52674 .40309 1.307 .1913

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

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### Implicit Prices: Inland Model

(mean) wtp_com_mean (commercial fish populations)

------------------------------------------------------------- Percentiles Smallest 1% .6395993 -.0938303 5% 1.433265 -.0088139 10% 1.763356 .2014638 Obs 999 25% 2.339025 .210694 Sum of Wgt. 999

50% 3.10331 

### Mean 3.103769 Largest Std. Dev. 1.071029 75% 3.816275 6.233257 90% 4.412616 6.358788 Variance 1.147103 95% 4.831226 6.491235 Skewness .126369 99% 6.009865 6.519252 Kurtosis 3.098633

(mean) wtp_pop_mean (all fish populations)

------------------------------------------------------------- Percentiles Smallest 1% -.3015409 -1.420535 5% .7537106 -1.268832 10% 1.304537 -1.261931 Obs 999 25% 2.273479 -.9583381 Sum of Wgt. 999

50% 3.476679 

### Mean 3.480314 Largest Std. Dev. 1.71687775% 4.656783 9.041138

90% 5.671353 9.293663 Variance 2.947667 95% 6.297943 9.488713 Skewness .1606621 99% 7.57174 9.878017 Kurtosis 3.101476

(mean) wtp_sav_mean (fish saved)

------------------------------------------------------------- Percentiles Smallest 1% .4145057 .3050528 5% .5517302 .3326098 10% .6006541 .3422334 Obs 999 25% .6941242 .3688079 Sum of Wgt. 999

50% .7820821 

### Mean .7826251 Largest Std. Dev. .1410865 75% .874112 1.198528 90% .9615312 1.216784 Variance .0199054 95% 1.009098 1.21872 Skewness -.0516839 99% 1.116598 1.308033 Kurtosis 3.354114

(mean) wtp_aquat_mean (aquatic ecological condition)

------------------------------------------------------------- Percentiles Smallest 1% -2.480116 -3.275314 5% -.8438313 -3.087861 10% -.0265768 -3.06842 Obs 999 25% 1.297394 -3.055972 Sum of Wgt. 999

50% 2.732188 

### Mean 2.702594 Largest Std. Dev. 2.111661 75% 4.127199 8.08226 90% 5.425924 8.139706 Variance 4.459113 95% 6.163943 8.473037 Skewness -.056463 99% 7.502766 8.655578 Kurtosis 2.881769

(mean) wtp_ne_mean (ASC for neither plan)

------------------------------------------------------------- Percentiles Smallest 1% -33.74792 -44.07451 5% -26.27759 -42.84349 10% -22.70578 -36.96168 Obs 999 25% -15.85074 -36.38767 Sum of Wgt. 99950% -8.020065 

### Mean -7.818175 Largest Std. Dev. 11.37021 75% -.0014955 22.40633 90% 7.180955 23.43136 Variance 129.2818 95% 10.93285 26.43084 Skewness .0243559 99% 19.08721 26.5677 Kurtosis 2.817872