Main_1 Main_2 Main_3 Main_4 Main_5 Main_6 Main_7
563 591 549 410 3885 6841 3508 Results Main Full
you will have the following survey rounds included:
Note: Estimation results may be based on different results. Information about the samples used for estimation is found in the respective sections of this document.
Meta data
[1] "Overview duration whole survey" Min. 1st Qu. Median Mean 3rd Qu. Max.
3.483 16.713 24.474 34.660 36.934 720.803 [1] "Overview duration mobiles" Min. 1st Qu. Median Mean 3rd Qu. Max.
4.202 16.796 24.486 36.968 38.653 620.045 
Call:
lm(formula = DURATION/60 ~ is_mobile + birthyear_mean + gender_male +
as.factor(uhh), data = complete_data)
Residuals:
Min 1Q Median 3Q Max
-32.72 -17.70 -10.29 1.94 685.66
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 35.86712 0.62249 57.619 < 2e-16 ***
is_mobiletrue 2.36440 1.17246 2.017 0.0438 *
birthyear_mean -0.12389 0.01927 -6.429 1.32e-10 ***
gender_male -3.12028 0.62188 -5.017 5.29e-07 ***
as.factor(uhh)2 0.66767 0.75531 0.884 0.3767
as.factor(uhh)3 0.25015 0.75515 0.331 0.7404
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 38.96 on 15958 degrees of freedom
(383 observations deleted due to missingness)
Multiple R-squared: 0.003979, Adjusted R-squared: 0.003667
F-statistic: 12.75 on 5 and 15958 DF, p-value: 2.161e-12False ZIP codes
1654 1700 1995 1999 2005 2721 3223 5109 5509 6222 8288 9480 9567
1 1 1 2 1 1 1 1 1 1 1 1 1
9766 10116 10151 10231 11018 11362 12128 12306 12345 12469 15383 17380 18443
1 1 1 1 1 1 1 1 1 1 1 1 1
19426 19824 20012 20453 20525 21148 22114 22377 22703 22871 24608 25398 29953
1 1 1 1 1 1 1 1 1 1 1 1 1
30301 30688 33140 33250 34118 35966 36071 36111 37981 38309 40437 40475 40651
1 1 1 1 1 1 1 1 1 1 1 1 1
41523 42729 44220 44878 45001 45345 45689 46468 47100 48137 48238 49495 50339
1 1 1 1 1 1 1 1 2 1 1 1 1
50352 50796 51140 52034 53384 53521 53959 54279 57634 57908 58098 60032 60179
1 1 1 1 1 3 1 1 1 1 1 1 1
60312 63527 63751 63841 65230 65292 66315 67463 67853 69116 70104 70113 70315
1 1 1 1 1 1 1 1 1 1 1 1 1
70345 71643 71722 74580 74993 75178 76186 81248 81378 83027 83456 84025 86258
1 1 1 1 1 1 1 1 1 1 1 1 1
86268 88807 88935 90502 91075 93763 96502 96633 97272 97895 98085 98468 99048
1 1 1 1 1 1 1 1 1 1 1 1 1 Device types/Mobile device
Quality checks
Randomizations
uhh dce_version equity arm block radius
uhh NA 0.97755014 0.5084954 0.05776982 0.00502793 0.8052479
dce_version 0.97755014 NA 0.9867538 0.73638302 0.07930036 0.7317077
equity 0.50849536 0.98675375 NA 0.47910744 0.55691980 0.2059371
arm 0.05776982 0.73638302 0.4791074 NA 0.49672826 0.6262058
block 0.00502793 0.07930036 0.5569198 0.49672826 NA 0.7955760
radius 0.80524791 0.73170769 0.2059371 0.62620583 0.79557604 NA
order 0.33910944 0.15965055 0.9786268 0.45488137 0.41484898 0.7358837
order
uhh 0.3391094
dce_version 0.1596505
equity 0.9786268
arm 0.4548814
block 0.4148490
radius 0.7358837
order NASocio-demografics
| Variable | Mean/Share | Median | SD | Min | Max | Germany |
|---|---|---|---|---|---|---|
| Age | 50.82 | 51.00 | 16.15 | 19.00 | 93.00 | 44.70 |
| Share of Females | 0.5 | - | - | - | - | 0.51 |
| Higher Education | 0.35 | - | - | - | - | 0.33 |
| Net Household Monthly Income | 3187 | 3250 | 1463 | 250 | 5500 | 3650 |
| Share with children | 0.56 | - | - | - | - | - |
| Life Satisfaction | 6.65 | 7 | 2.13 | 0 | 10 | - |
| N | 15964 | - | - | - | - | - |
Quotas
| Variable | abs_actual | abs_target | rel_actual | rel_target |
|---|---|---|---|---|
| Share of female | 7976 | 8301.28 | 0.50 | 0.52 |
| 18–29 | 1976 | 2713.88 | 0.12 | 0.17 |
| 30–39 | 2538 | 2234.96 | 0.16 | 0.14 |
| 40–49 | 3043 | 3192.80 | 0.19 | 0.20 |
| 50–59 | 2865 | 2713.88 | 0.18 | 0.17 |
| 60–69 | 3230 | 2075.32 | 0.20 | 0.13 |
| 70+ | 2312 | 2873.52 | 0.14 | 0.18 |
# A tibble: 8 × 3
educ n percentage
<dbl> <int> <dbl>
1 6 5637 34.5
2 4 5157 31.5
3 5 3517 21.5
4 3 1648 10.1
5 8 163 0.997
6 2 96 0.587
7 7 68 0.416
8 1 61 0.373
Federal States
File already exists. No download needed.
Baden-Württemberg Bayern Berlin
1915 2496 1181
Brandenburg Bremen Hamburg
562 138 567
Hessen Mecklenburg-Vorpommern Niedersachsen
1293 387 1526
Nordrhein-Westfalen Rheinland-Pfalz Saarland
3412 1147 222
Sachsen Sachsen-Anhalt Schleswig-Holstein
1206 570 707
Thüringen
509 “Sonntagsfrage”
Attention questions
Access of Additional Information
Accessed Infos on Costs
1
2019 Accessed Infos on Property
1
2425 NSG and HNV Distribution
Forest Use
Private Forest Owner?
1 2 3 4
1091 16611 57 79 Forest Yes and Size
FALSE TRUE
17105 733 Forest Yes and Use
FALSE TRUE
17124 714 Forest Size in ha
0 0.08 1 2 3 4 5 6 7 8 9 10 11
39 1 197 98 44 26 60 10 2 13 1 46 2
12 13 14 15 16 18 19 20 21 25 26 30 32
9 1 1 8 2 3 1 25 2 9 2 10 1
34 35 40 50 55 60 68 72 80 89 90 100 101
1 4 7 14 2 5 1 1 3 1 3 24 1
110 120 122 123 150 181 197 200 230 250 300 312 344
1 5 1 1 2 3 1 8 1 1 1 1 2
400 500 600 900 1000 1111 1200 1500 2000 3000 4000 4157 4584
1 6 1 1 1 1 1 2 2 1 1 1 1
5000 7000 10000 25000 30459 80939
1 1 1 1 1 1 Forest Use in m3
0 1 2 3 4 5 6 7 8 9 10 11 12
275 75 58 29 18 45 8 1 13 1 26 1 8
15 18 20 21 22 23 25 26 29 30 33 34 35
8 3 25 1 4 2 7 3 1 10 1 2 1
38 40 45 50 55 59 60 65 75 76 80 90 100
1 2 2 17 1 1 1 1 1 1 2 2 14
120 124 125 150 180 190 200 213 244 250 300 344 400
2 2 2 4 1 1 7 1 1 1 2 2 1
450 500 600 604 1000 1234 1500 2500 4582 5000 7500 10115 20539
1 2 1 1 4 1 1 1 1 1 1 1 1 
NR-index
Min. 1st Qu. Median Mean 3rd Qu. Max.
1.000 3.167 3.833 3.683 4.333 5.000 
Choice Experiment
Choices scope low
1 2
47004 34736 Choices scope_high
1 2
45579 36151 DCE Version
Choices 1 2 3 4
1 23162 23842 22222 23357
2 17698 17038 18628 17523 DCE Version
HNV Attributes 1 2 3 4
100 8166 8179 0 0
200 8157 8174 8174 8188
300 8171 8159 0 0
400 0 0 8170 8162
500 8179 8175 0 0
600 0 0 8162 8188
800 8187 8193 0 0
1000 0 0 8177 8180
1600 0 0 8167 8162 DCE Version
PA Attributes 1 2 3 4
100 8159 8180 0 0
200 8175 8194 8159 8159
300 8174 8170 0 0
400 0 0 8166 8196
500 8169 8170 0 0
600 0 0 8173 8176
800 8183 8166 0 0
1000 0 0 8183 8161
1600 0 0 8169 8188 DCE Version
Cost Attributes 1 2 3 4
5 4096 4081 4072 4083
10 4079 4075 4081 4095
20 4088 4083 4081 4094
40 4091 4078 4086 4092
60 4082 4089 4092 4074
80 4069 4096 4082 4085
120 4078 4086 4093 4091
150 4102 4096 4093 4082
200 4075 4099 4083 4094
250 4100 4097 4087 4090 DCE Version
HNV Visible Dummy 1 2 3 4
0 20441 20464 20419 20422
1 20419 20416 20431 20458 DCE Version
Pa Full Dummy 1 2 3 4
0 27251 27259 27247 27271
1 13609 13621 13603 13609 DCE Version
Pa Full Dummy 1 2 3 4
0 27222 27243 27214 27241
1 13638 13637 13636 13639
Choice Pattern Plots
200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1600
5 325 656 1318 658 1634 651 1621 650 1633 655 980 656 656 975
10 323 652 1314 650 1630 653 1633 657 1631 653 981 649 655 983
20 329 653 1305 653 1628 655 1626 650 1653 649 989 655 652 979
40 328 650 1305 654 1639 658 1636 653 1634 655 979 652 654 980
60 324 648 1309 651 1629 657 1632 657 1632 654 980 657 652 977
80 328 662 1297 651 1634 652 1635 651 1632 654 981 652 653 986
120 328 654 1306 652 1637 653 1636 654 1633 648 981 658 657 983
150 328 657 1308 653 1633 658 1646 653 1641 657 974 661 652 987
200 327 652 1313 653 1629 658 1639 649 1630 655 985 651 650 987
250 327 659 1306 659 1627 660 1628 653 1651 653 983 654 655 985
1800 2000 2200 2600 3200
5 654 975 650 660 325
10 654 983 652 648 329
20 657 978 656 656 323
40 649 981 659 653 328
60 654 991 658 649 326
80 653 978 651 656 326
120 654 982 650 650 332
150 647 983 653 655 327
200 654 981 656 658 324
250 651 987 655 655 326
arm
equity 5 10 20 Indefinitely
All same 0.4476559 0.4336403 0.4261845 0.4241176
Income tax 0.4375496 0.4314413 0.4355427 0.4326491
Protester
Utility Functions
Quadratic
\[ \begin{equation} U = \beta_{NC} \cdot \text{NC} + \beta_{NC_{sq}} \cdot \text{NC}^2 +\beta_{C} \cdot C + \beta_{Y} \cdot Y + \epsilon \label{mxl_base2} \end{equation} \]
with: \(NC = \{\text{PA}_{a}, \text{HNV}_{v}\}\) and \(a=\{1, 2, 3\}\) and \(v=\{1, 2\}\)
Linear Terms
\[ \begin{equation} U = \beta_{NC} \cdot \text{NC} + \beta_{C} \cdot C + \beta_{Y} \cdot Y + \epsilon \label{linear_model} \end{equation} \]
Logarithmic Terms
\[ \begin{equation} U = \beta_{NC} \cdot \log(\text{NC}) + \beta_{C} \cdot C + \beta_{Y} \cdot Y + \epsilon \label{log_nc_model} \end{equation} \]
Box-cox
\[ \begin{equation} U = \beta_{NC} \cdot \frac{\text{NC}^\lambda - 1}{\lambda} + \beta_{C} \cdot C + \beta_{Y} \cdot Y + \epsilon \quad \text{for } \lambda \neq 0 \label{box_cox_model} \end{equation} \]
Log-Linear
\[ \begin{equation} U = \beta_{NC} \cdot \text{NC} + \beta_{NC_{log}} \cdot \log(\text{NC}) + \beta_{C} \cdot C + \beta_{Y} \cdot Y + \epsilon \label{log_linear_model} \end{equation} \]
Conditional Logit Models
**************WARNING**************
You are seeing the model results based on: Main_1 + Main_2 + Main_3 + Main_4 + Main_5| Estimate | s.e. | t.rat.(0) | Rob.s.e. | Rob.t.rat.(0) | |
| beta_pa | 3.58 | 0.55 | 6.48 | 0.70 | 5.08 |
| beta_hnv | 2.78 | 0.43 | 6.43 | 0.58 | 4.83 |
| beta_pa_sq | -0.01 | 0.002 | -5.06 | 0.002 | -3.80 |
| beta_hnv_sq | -0.01 | 0.001 | -3.90 | 0.002 | -2.62 |
| pa_half_access | 3.61 | 0.56 | 6.47 | 0.73 | 4.97 |
| pa_full_access | 4.65 | 0.55 | 8.47 | 0.71 | 6.56 |
| pa_half_access_sq | -0.004 | 0.002 | -1.92 | 0.002 | -1.44 |
| pa_full_access_sq | -0.01 | 0.002 | -4.53 | 0.002 | -3.30 |
| hnv_visible | 3.58 | 0.43 | 8.25 | 0.59 | 6.04 |
| hnv_visible_sq | -0.01 | 0.001 | -4.64 | 0.002 | -3.09 |
| beta_cost | -0.01 | 0.0001 | -65.78 | 0.0002 | -45.45 |
| ASC_sq | -32.60 | 2.33 | -13.96 | 3.75 | -8.69 |
| Estimate | s.e. | t.rat.(0) | Rob.s.e. | Rob.t.rat.(0) | |
| beta_pa | 52.29 | 14.83 | 3.53 | 21.04 | 2.49 |
| beta_hnv | 57.02 | 13.64 | 4.18 | 22.79 | 2.50 |
| pa_half_access | 95.97 | 15.30 | 6.27 | 22.38 | 4.29 |
| pa_full_access | 108.79 | 14.92 | 7.29 | 22.16 | 4.91 |
| hnv_visible | 85.54 | 13.79 | 6.20 | 23.44 | 3.65 |
| beta_cost | -0.01 | 0.0001 | -65.70 | 0.0002 | -45.44 |
| ASC_sq | -43.10 | 1.79 | -24.09 | 3.40 | -12.69 |
| Estimate | s.e. | t.rat.(0) | Rob.s.e. | Rob.t.rat.(0) | |
| beta_pa | 1.37 | 0.34 | 3.98 | 0.40 | 3.46 |
| beta_hnv | 1.59 | 0.31 | 5.18 | 0.36 | 4.39 |
| pa_half_access | 2.75 | 0.34 | 7.99 | 0.40 | 6.93 |
| pa_full_access | 2.70 | 0.35 | 7.83 | 0.40 | 6.75 |
| hnv_visible | 2.16 | 0.31 | 7.06 | 0.36 | 6.03 |
| beta_cost | -0.01 | 0.0001 | -65.72 | 0.0002 | -45.44 |
| ASC_sq | -32.98 | 2.34 | -14.12 | 3.76 | -8.78 |
| Estimate | s.e. | t.rat.(0) | Rob.s.e. | Rob.t.rat.(0) | |
| beta_pa | 17.54 | 11.49 | 1.53 | 13.40 | 1.31 |
| beta_hnv | 9.34 | 4.97 | 1.88 | 5.61 | 1.67 |
| pa_half_access | 8.85 | 5.05 | 1.75 | 7.73 | 1.14 |
| pa_full_access | 18.55 | 7.50 | 2.47 | 9.28 | 2.00 |
| hnv_visible | 12.36 | 5.80 | 2.13 | 7.63 | 1.62 |
| beta_cost | -0.01 | 0.0001 | -65.72 | 0.0002 | -45.40 |
| ASC_sq | -31.25 | 2.30 | -13.56 | 3.71 | -8.43 |
| lambda_pa | 0.45 | 0.17 | 2.65 | 0.19 | 2.38 |
| lambda_hnv | 0.61 | 0.13 | 4.75 | 0.13 | 4.58 |
| lambda_pa_half | 0.75 | 0.13 | 5.57 | 0.20 | 3.71 |
| lambda_pa_full | 0.58 | 0.10 | 5.76 | 0.12 | 4.84 |
| lambda_hnv_vis | 0.61 | 0.11 | 5.34 | 0.14 | 4.36 |
| Estimate | s.e. | t.rat.(0) | Rob.s.e. | Rob.t.rat.(0) | |
| beta_pa | 0.72 | 0.44 | 1.62 | 0.55 | 1.31 |
| beta_hnv | 1.28 | 0.42 | 3.08 | 0.59 | 2.19 |
| beta_pa_sq | 48.51 | 19.70 | 2.46 | 27.23 | 1.78 |
| beta_hnv_sq | 21.33 | 19.13 | 1.11 | 31.72 | 0.67 |
| pa_half_access | 2.38 | 0.45 | 5.30 | 0.56 | 4.29 |
| pa_full_access | 1.77 | 0.44 | 4.00 | 0.56 | 3.15 |
| pa_half_access_sq | 28.52 | 20.53 | 1.39 | 29.06 | 0.98 |
| pa_full_access_sq | 67.53 | 19.63 | 3.44 | 28.42 | 2.38 |
| hnv_visible | 1.70 | 0.42 | 4.08 | 0.57 | 2.97 |
| hnv_visible_sq | 32.29 | 19.31 | 1.67 | 32.13 | 1.00 |
| beta_cost | -0.01 | 0.0001 | -65.73 | 0.0002 | -45.44 |
| ASC_sq | -32.45 | 2.34 | -13.87 | 3.77 | -8.61 |
Mixed Logit Models
**************WARNING**************
You are seeing the model results based on: Main_1 + Main_2 + Main_3 + Main_4 + Main_5 + Main_6 + Main_7 + pilot_2.1 + pilot_3 + pilot_4| Estimate | s.e. | t.rat.(0) | Rob.s.e. | Rob.t.rat.(0) | |
| beta_pa | 31.929 | 3.377 | 9.454 | 1.537 | 20.774 |
| beta_hnv | 24.244 | 3.445 | 7.037 | 1.640 | 14.787 |
| beta_pa_sq | -0.399 | 0.110 | -3.640 | 0.052 | -7.625 |
| beta_hnv_sq | -0.056 | 0.106 | -0.525 | 0.037 | -1.510 |
| pa_half_access | 6.864 | 3.127 | 2.195 | 1.532 | 4.480 |
| pa_full_access | 1.063 | 0.322 | 3.301 | 0.178 | 5.977 |
| hnv_visible | 1.163 | 2.100 | 0.554 | 0.859 | 1.355 |
| beta_cost | -3.395 | 0.168 | -20.172 | 0.171 | -19.810 |
| ASC_sq | -27.274 | 1.995 | -13.668 | 1.010 | -26.999 |
| sig_pa | -11.753 | 1.457 | -8.064 | 0.586 | -20.071 |
| sig_hnv | 6.739 | 0.924 | 7.297 | 0.272 | 24.755 |
| sig_pa_sq | -1.139 | 0.053 | -21.566 | 0.014 | -79.033 |
| sig_hnv_sq | 1.131 | 0.060 | 18.753 | 0.016 | 69.024 |
| sig_pa_half_access | 26.670 | 3.071 | 8.685 | 1.173 | 22.746 |
| sig_pa_full_access | 1.949 | 0.211 | 9.259 | 0.083 | 23.493 |
| sig_hnv_visible | -1.906 | 2.520 | -0.756 | 0.557 | -3.419 |
| sig_cost | -2.236 | 0.285 | -7.847 | 0.287 | -7.780 |
| sig_ASC_sq | 145.214 | 2.490 | 58.309 | 1.116 | 130.113 |
| Estimate | s.e. | t.rat.(0) | Rob.s.e. | Rob.t.rat.(0) | |
| beta_pa | 10.489 | 1.330 | 7.888 | 1.332 | 7.875 |
| beta_hnv | 11.306 | 0.871 | 12.974 | 0.789 | 14.335 |
| beta_pa_sq | -0.095 | 0.040 | -2.389 | 0.039 | -2.448 |
| beta_hnv_sq | -0.047 | 0.020 | -2.341 | 0.014 | -3.330 |
| pa_half_access | 18.726 | 0.914 | 20.498 | 0.616 | 30.418 |
| pa_full_access | 22.326 | 0.714 | 31.251 | 0.414 | 53.953 |
| hnv_visible | 15.153 | 0.762 | 19.885 | 0.620 | 24.425 |
| pa_half_access_sq | -0.069 | 0.032 | -2.163 | 0.021 | -3.217 |
| pa_full_access_sq | -0.151 | 0.025 | -6.023 | 0.018 | -8.315 |
| hnv_visible_sq | -0.066 | 0.018 | -3.686 | 0.009 | -7.075 |
| beta_cost | -3.358 | 0.024 | -141.069 | 0.025 | -136.786 |
| ASC_sq | -54.914 | 0.513 | -107.084 | 0.323 | -170.234 |
| beta_radius | -1.227 | 0.040 | -30.722 | 0.020 | -61.197 |
| beta_scope_high | 3.424 | 0.678 | 5.048 | 0.576 | 5.943 |
| sig_pa | -9.539 | 0.412 | -23.142 | 0.241 | -39.644 |
| sig_hnv | 0.963 | 0.571 | 1.687 | 0.329 | 2.924 |
| sig_pa_sq | 0.062 | 0.015 | 4.293 | 0.006 | 10.641 |
| sig_hnv_sq | -0.050 | 0.016 | -3.127 | 0.006 | -8.377 |
| sig_pa_half_access | 0.025 | 0.574 | 0.044 | 0.276 | 0.092 |
| sig_pa_full_access | 8.801 | 0.495 | 17.762 | 0.269 | 32.736 |
| sig_hnv_visible | 8.719 | 0.394 | 22.115 | 0.210 | 41.532 |
| sig_pa_half_access_sq | 0.121 | 0.016 | 7.502 | 0.007 | 17.257 |
| sig_pa_full_access_sq | 0.087 | 0.018 | 4.895 | 0.006 | 13.980 |
| sig_hnv_visible_sq | 0.002 | 0.010 | 0.216 | 0.004 | 0.480 |
| sig_cost | -2.033 | 0.037 | -55.487 | 0.038 | -52.971 |
| sig_ASC_sq | 118.330 | 0.486 | 243.397 | 0.293 | 404.383 |
| sig_radius | -6.447 | 0.040 | -159.613 | 0.029 | -224.437 |
| sig_scope_high | 78.762 | 0.583 | 135.161 | 0.487 | 161.573 |
| Model | AIC | BIC | LLout |
|---|---|---|---|
| Quadratic Utility Function | 77188.62 | 77296.64 | -38582.31 |
| Log Utility Function | 77308.98 | 77371.99 | -38647.49 |
| Linear Utility Function | 77268.21 | 77331.22 | -38627.11 |
| Box Cox Utility Function | 77231.68 | 77339.7 | -38603.84 |
| Log-Linear Utility Function | 77254.71 | 77362.73 | -38615.35 |
Plot and Map WTP
Plot WTP function for HNV.
Plot WTP function for PA.
MXL Plots
CV
Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
0.000e+00 5.000e+00 4.000e+01 1.599e+05 1.000e+02 1.000e+09 5956 
Travel Cost
Difference all visits and favourite visits
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
4658 372 348 177 144 282 97 72 90 44 292 28 111 26 39 147
16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
23 24 39 10 287 8 29 7 20 78 29 16 24 8 131 3
32 33 34 35 36 37 38 39 40 42 43 44 45 46 47 48
24 6 3 35 10 12 12 2 103 15 3 7 17 4 6 12
49 50 51 52 53 54 55 56 58 59 60 61 62 63 64 65
5 167 3 15 2 4 10 7 2 2 40 1 1 1 2 20
66 67 68 70 71 72 73 74 75 76 78 79 80 81 84 85
1 2 3 51 1 1 1 1 9 5 2 1 33 1 1 8
86 88 90 91 92 93 94 95 96 98 100 102 104 105 106 108
1 5 30 1 4 1 1 2 3 7 77 1 35 2 1 2
110 111 112 113 115 116 120 124 125 126 130 131 138 140 141 143
16 1 3 2 5 1 12 1 7 1 6 1 2 6 1 1
144 145 146 148 150 151 152 153 154 155 156 160 164 165 170 175
1 3 1 1 36 1 1 2 3 4 1 8 1 4 3 2
176 180 185 188 190 191 195 196 198 200 205 207 209 210 215 220
1 5 1 2 3 1 2 1 1 32 2 1 2 1 6 1
221 225 228 230 236 240 245 248 250 255 259 260 265 270 274 280
1 1 1 1 1 3 1 1 9 1 1 5 3 1 1 1
285 288 295 300 305 310 312 313 315 320 330 335 342 346 348 349
2 2 1 13 1 1 1 4 1 1 1 3 1 1 1 1
350 356 364 365 390 399 400 412 488 500 510 544 574 595 600 645
4 1 1 4 1 1 2 2 1 2 1 1 1 1 2 1
700 730 800 801 835 939 1004 1043 1104 1340 1685 2000 2119 2870 3995
3 6 1 1 1 2 1 2 1 1 1 1 1 1 1 
[1] 896
[1] 172
