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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.

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Northeast Region

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(mean) wtp_com_mean

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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

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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

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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

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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

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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

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Southeast Region

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(mean) wtp_com_mean

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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

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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

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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

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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

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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
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Inland Region

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(mean) wtp_com_mean

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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

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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

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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

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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

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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
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Pacific Region

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(mean) wtp_com_mean

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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

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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

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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

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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

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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

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National Survey

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(mean) wtp_com_mean

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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

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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

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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

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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

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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