### 1



### *********************************************************************** *********************************************************************** Weighted Linear Implicit Prices_All Regions_12.06.12 Author: Abt Associates Inc. Created: 12/06/12 Purpose: This file is the output from STATA code to estimate implicit prices based on the weighted linear model estimated based on the 316(b) stated preference survey data. It includes estimated implicit prices for all environmental attributes and survey regions, including the national survey version. 

### *********************************************************************** ***********************************************************************

### 2



### *********************************************************************** Northeast Region *********************************************************************** (mean) wtp_com_mean

------------------------------------------------------------- Percentiles Smallest 1% 4.687665 3.010921 5% 6.449932 3.973285 10% 7.085042 4.042286 Obs 1000 25% 8.496751 4.108189 Sum of Wgt. 1000
50% 10.07622 Mean 10.29568 Largest Std. Dev. 2.739042 75% 11.79437 20.32464 90% 13.54853 23.97769 Variance 7.502351 95% 14.85597 26.30282 Skewness 1.041416 99% 18.25167 29.09708 Kurtosis 6.931967 (mean) wtp_pop_mean

------------------------------------------------------------- Percentiles Smallest 1% -8.551096 -12.69258 5% -4.529226 -12.5047 10% -3.0095 -11.96268 Obs 1000 25% -.2350425 -10.41874 Sum of Wgt. 1000
50% 3.078702 Mean 3.090558 Largest Std. Dev. 4.957882 75% 6.035704 20.46899 90% 9.248357 21.97597 Variance 24.58059 95% 10.8947 24.29054 Skewness .3273094 99% 16.09067 27.88023 Kurtosis 4.185346 (mean) wtp_sav_mean

------------------------------------------------------------- Percentiles Smallest 1% .7759638 .4755494 5% .9474564 .6355045 10% 1.026436 .7035121 Obs 1000 25% 1.199108 .7124198 Sum of Wgt. 1000
50% 1.388023 Mean 1.437488 Largest Std. Dev. .3558772 75% 1.623886 2.788724 90% 1.87326 2.876343 Variance .1266485 95% 2.071745 2.987162 Skewness 1.074471 99% 2.496051 3.980065 Kurtosis 6.448338 (mean) wtp_aquat_mean

------------------------------------------------------------- Percentiles Smallest 1% -3.079938 -6.304381 5% 1.43543 -5.546763

### 3

10% 3.18574 -5.036471 Obs 1000 25% 6.098075 -5.035244 Sum of Wgt. 1000
50% 9.673085 Mean 9.762072 Largest Std. Dev. 5.295004 75% 13.27174 24.37942 90% 16.72113 24.61057 Variance 28.03707 95% 19.01071 24.76947 Skewness .1242614 99% 22.60143 30.30144 Kurtosis 3.182619 (mean) wtp_ne_mean

------------------------------------------------------------- Percentiles Smallest 1% -70.40598 -121.7285 5% -54.53517 -97.38235 10% -47.33605 -93.15837 Obs 1000 25% -37.17169 -87.23096 Sum of Wgt. 1000
50% -25.20954 Mean -25.02486 Largest Std. Dev. 18.72363 75% -12.83321 26.67411 90% -2.163548 34.93673 Variance 350.5745 95% 3.980059 36.47867 Skewness -.1907304 99% 19.83562 40.59336 Kurtosis 4.024231

### 4



### *********************************************************************** Southeast Region *********************************************************************** (mean) wtp_com_mean

------------------------------------------------------------- Percentiles Smallest 1% -.8938107 -2.371879 5% .1610896 -1.635908 10% .5155817 -1.383026 Obs 1000 25% 1.255497 -1.378859 Sum of Wgt. 1000
50% 2.090549 Mean 2.096159 Largest Std. Dev. 1.233854 75% 2.904822 5.558105 90% 3.633219 5.585265 Variance 1.522395 95% 4.114298 5.958457 Skewness .0598077 99% 5.161785 6.274321 Kurtosis 3.191451 (mean) wtp_pop_mean

------------------------------------------------------------- Percentiles Smallest 1% -5.152632 -6.726072 5% -3.811757 -6.692724 10% -3.164614 -5.956054 Obs 1000 25% -2.056805 -5.75031 Sum of Wgt. 1000
50% -.662991 Mean -.6896134 Largest Std. Dev. 1.951574 75% .6282246 5.288378 90% 1.780748 6.245021 Variance 3.808641 95% 2.480691 6.493458 Skewness .1472289 99% 4.10781 6.763844 Kurtosis 3.244243 (mean) wtp_sav_mean

------------------------------------------------------------- Percentiles Smallest 1% .3211786 .162691 5% .4174511 .2466237 10% .4697761 .2692795 Obs 1000 25% .545973 .2704954 Sum of Wgt. 1000
50% .6264154 Mean .6245295 Largest Std. Dev. .1254244 75% .7015676 .9842714 90% .7849728 .9977423 Variance .0157313 95% .8342164 1.014902 Skewness .0137606 99% .90844 1.132558 Kurtosis 3.357537 (mean) wtp_aquat_mean

------------------------------------------------------------- Percentiles Smallest 1% -3.548857 -5.541933

### 5

5% -2.012597 -5.099712 10% -1.017571 -4.483971 Obs 1000 25% .0459508 -4.398345 Sum of Wgt. 1000
50% 1.44085 Mean 1.429436 Largest Std. Dev. 2.037871 75% 2.799419 6.435994 90% 4.038755 6.92308 Variance 4.152917 95% 4.750681 7.039399 Skewness -.095182 99% 5.965777 7.246341 Kurtosis 3.016043 (mean) wtp_ne_mean

------------------------------------------------------------- Percentiles Smallest 1% -59.01922 -69.04028 5% -51.41106 -66.22121 10% -48.46107 -63.49435 Obs 1000 25% -44.09353 -63.2776 Sum of Wgt. 1000
50% -38.69082 Mean -38.90529 Largest Std. Dev. 7.732338 75% -33.63287 -20.22515 90% -29.00037 -19.25248 Variance 59.78905 95% -26.25136 -17.73024 Skewness -.2074296 99% -22.01957 -16.38547 Kurtosis 3.237294

### 6



### *********************************************************************** Inland Region *********************************************************************** (mean) wtp_com_mean

------------------------------------------------------------- Percentiles Smallest 1% -1.463181 -2.462008 5% -.6718316 -1.915072 10% -.4189389 -1.891826 Obs 1000 25% .1125178 -1.885548 Sum of Wgt. 1000
50% .7296409 Mean .6921685 Largest Std. Dev. .8624586 75% 1.253637 3.015764 90% 1.739032 3.044577 Variance .7438348 95% 2.084796 3.126291 Skewness -.0723132 99% 2.816748 3.143677 Kurtosis 3.116338 (mean) wtp_pop_mean

------------------------------------------------------------- Percentiles Smallest 1% -2.687506 -3.717184 5% -1.833856 -3.535953 10% -1.433772 -3.188804 Obs 1000 25% -.6561491 -3.156493 Sum of Wgt. 1000
50% .2345284 Mean .2792846 Largest Std. Dev. 1.323813 75% 1.189327 4.478135 90% 1.953922 4.510475 Variance 1.752482 95% 2.483468 5.089208 Skewness .136629 99% 3.359661 5.189818 Kurtosis 3.129379 (mean) wtp_sav_mean

------------------------------------------------------------- Percentiles Smallest 1% .193512 .0285611 5% .2795585 .1204605 10% .3314409 .1293552 Obs 1000 25% .4135849 .1561307 Sum of Wgt. 1000
50% .4965382 Mean .4951002 Largest Std. Dev. .1285231 75% .5791919 .8632227 90% .6583562 .8786889 Variance .0165182 95% .701339 .8969989 Skewness .0027732 99% .8185293 .911984 Kurtosis 3.181459 (mean) wtp_aquat_mean

------------------------------------------------------------- Percentiles Smallest 1% -1.868998 -3.132087 5% -.7804446 -3.066553

### 7

10% -.1981121 -2.902804 Obs 1000 25% .5467887 -2.772509 Sum of Wgt. 1000
50% 1.473202 Mean 1.466083 Largest Std. Dev. 1.368608 75% 2.34886 5.26193 90% 3.201697 5.454242 Variance 1.873088 95% 3.67921 5.503305 Skewness -.0177413 99% 4.820333 5.510893 Kurtosis 3.224362 (mean) wtp_ne_mean

------------------------------------------------------------- Percentiles Smallest 1% -152.5592 -180.8491 5% -138.1176 -172.5512 10% -132.6292 -163.467 Obs 1000 25% -120.3166 -163.2681 Sum of Wgt. 1000
50% -107.0723 Mean -107.8066 Largest Std. Dev. 18.80864 75% -94.40178 -60.24467 90% -84.06297 -60.12525 Variance 353.7651 95% -77.9827 -59.51204 Skewness -.1737134 99% -65.29164 -55.53003 Kurtosis 3.046249

### 8



### *********************************************************************** Pacific Region *********************************************************************** (mean) wtp_com_mean

------------------------------------------------------------- Percentiles Smallest 1% -4.608206 -14.91788 5% -1.371053 -9.415701 10% -.2279326 -9.24929 Obs 1000 25% 2.159735 -6.63981 Sum of Wgt. 1000
50% 4.992072 Mean 5.365175 Largest Std. Dev. 4.972576 75% 8.043284 25.04161 90% 10.96577 36.99253 Variance 24.72651 95% 13.5966 38.11731 Skewness 1.206105 99% 19.08097 41.48366 Kurtosis 9.421464 (mean) wtp_pop_mean

------------------------------------------------------------- Percentiles Smallest 1% -6.335688 -13.29484 5% -2.318208 -10.96744 10% -.2520603 -10.12687 Obs 1000 25% 3.135596 -9.747874 Sum of Wgt. 1000
50% 7.323764 Mean 7.709706 Largest Std. Dev. 6.966296 75% 11.507 39.18041 90% 15.80908 44.5252 Variance 48.52928 95% 18.53157 47.66357 Skewness .9804088 99% 29.36387 50.1175 Kurtosis 6.734971 (mean) wtp_sav_mean

------------------------------------------------------------- Percentiles Smallest 1% .8401625 .6354194 5% 1.067265 .7149813 10% 1.1965 .7303334 Obs 1000 25% 1.435093 .7705343 Sum of Wgt. 1000
50% 1.712552 Mean 1.771191 Largest Std. Dev. .5390666 75% 2.015954 4.088215 90% 2.398475 5.182589 Variance .2905928 95% 2.615868 5.92876 Skewness 2.583122 99% 3.539263 7.683249 Kurtosis 22.50898 (mean) wtp_aquat_mean

------------------------------------------------------------- Percentiles Smallest 1% 1.134106 -1.658378 5% 5.008557 -1.584684

### 9

10% 7.048846 -1.428566 Obs 1000 25% 10.28756 -1.405147 Sum of Wgt. 1000
50% 14.78101 Mean 15.31865 Largest Std. Dev. 7.149134 75% 19.69587 43.37704 90% 24.49581 51.00513 Variance 51.11012 95% 27.48021 52.34454 Skewness .8122123 99% 34.3058 58.86194 Kurtosis 5.407071 (mean) wtp_ne_mean

------------------------------------------------------------- Percentiles Smallest 1% -48.02392 -80.5806 5% -29.64528 -78.07681 10% -22.6594 -72.54239 Obs 1000 25% -8.622348 -70.4017 Sum of Wgt. 1000
50% 8.422361 Mean 10.76811 Largest Std. Dev. 29.73914 75% 27.05637 120.0595 90% 44.7971 180.6792 Variance 884.4164 95% 58.34459 189.82 Skewness 1.323617 99% 94.73617 264.0199 Kurtosis 10.57624

### 10



### *********************************************************************** National Survey *********************************************************************** (mean) wtp_com_mean

------------------------------------------------------------- Percentiles Smallest 1% -2.392109 -5.778392 5% -.8065873 -4.381337 10% -.2438084 -4.257013 Obs 1000 25% .9636508 -3.501523 Sum of Wgt. 1000
50% 2.214043 Mean 2.22481 Largest Std. Dev. 1.971685 75% 3.471412 8.063027 90% 4.655825 8.290553 Variance 3.887543 95% 5.502762 8.563411 Skewness .0795309 99% 7.45521 8.77757 Kurtosis 3.533752 (mean) wtp_pop_mean

------------------------------------------------------------- Percentiles Smallest 1% -2.33489 -5.834743 5% .4071363 -4.179528 10% 1.583336 -3.935713 Obs 1000 25% 3.549001 -3.773164 Sum of Wgt. 1000
50% 5.895071 Mean 5.815731 Largest Std. Dev. 3.411863 75% 7.965341 16.21209 90% 10.18874 17.8859 Variance 11.64081 95% 11.27989 18.59952 Skewness .083288 99% 14.18067 19.82411 Kurtosis 3.44097 (mean) wtp_sav_mean

------------------------------------------------------------- Percentiles Smallest 1% .1247061 -.2902014 5% .2787717 .0697895 10% .3718629 .0717008 Obs 1000 25% .5166074 .0813563 Sum of Wgt. 1000
50% .6552262 Mean .6641993 Largest Std. Dev. .234971 75% .8034836 1.452589 90% .9649313 1.455474 Variance .0552114 95% 1.069797 1.468383 Skewness .2496986 99% 1.221094 1.782133 Kurtosis 3.798434 (mean) wtp_aquat_mean

------------------------------------------------------------- Percentiles Smallest 1% -17.64452 -26.61621

### 11

5% -12.29646 -26.49916 10% -10.69091 -21.28399 Obs 1000 25% -6.970545 -19.81684 Sum of Wgt. 1000
50% -3.345368 Mean -3.524218 Largest Std. Dev. 5.484659 75% .2356327 10.1102 90% 3.080274 10.91617 Variance 30.08149 95% 5.19694 12.13167 Skewness -.2573061 99% 9.248088 12.25138 Kurtosis 3.549377 (mean) wtp_ne_mean

------------------------------------------------------------- Percentiles Smallest 1% -80.61867 -100.8316 5% -69.83172 -99.60794 10% -63.26616 -93.66087 Obs 1000 25% -55.00519 -88.9988 Sum of Wgt. 1000
50% -45.50038 Mean -45.52805 Largest Std. Dev. 14.25401 75% -35.75127 -10.44797 90% -27.69736 -8.578394 Variance 203.1767 95% -22.91025 -5.76579 Skewness -.212527 99% -14.24826 -.6593797 Kurtosis 3.315407