Anexo Final 2

7/28/2019 Anexo Final 2

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--> RESET--> RESET--> READ;FILE="D:\maestria - II\Economia ambiental\Inforne de Taller Practico...--> DSTAT;Rhs=DIST,CONT,ENF,PSI,PREC,GEN,HIJO,EDAD,EDU,ING$Descriptive StatisticsAll results based on nonmissing observations.===============================================================================Variable Mean Std.Dev. Minimum Maximum Cases

===============================================================================-------------------------------------------------------------------------------All observations in current sample-------------------------------------------------------------------------------DIST 3.77179487 .584041727 1.00000000 4.00000000 390CONT .428205128 .495454255 .000000000 1.00000000 390ENF .248717949 .432825235 .000000000 1.00000000 390PSI .571794872 .495454255 .000000000 1.00000000 390PREC 3.41666667 1.72016744 .500000000 7.00000000 390GEN .507692308 .500583010 .000000000 1.00000000 390HIJO .679487179 .467273164 .000000000 1.00000000 390EDAD 2.67435897 1.26210701 1.00000000 5.00000000 390EDU 3.13846154 .975961825 1.00000000 5.00000000 390ING 3.34871795 1.49082400 1.00000000 7.00000000 390

M atrix: LastDsta

[10,7]

--> LOGIT;Lhs=PSI;Rhs=ONE,PREC,ING,EDU,CONT,DIST,ENF,GEN,HIJO,EDAD;Margin$Normal exit from iterations. Exit status=0.

+---------------------------------------------+| Multinomial Logit Model || Maximum Likelihood Estimates || Model estimated: May 25, 2013 at 10:49:46AM.|| Dependent variable PSI || Weighting variable None || Number of observations 390 || Iterations completed 6 || Log likelihood function -199.4693 || Restricted log likelihood -266.2930 || Chi squared 133.6472 || Degrees of freedom 9 |

| Prob[ChiSqd > value] = .0000000 || Hosmer-Lemeshow chi-squared = 21.15263 || P-value= .00675 with deg.fr. = 8 |+---------------------------------------------++---------+--------------+----------------+--------+---------+----------+|Variable | Coefficient | Standard Error |b/St.Er.|P[|Z|>z] | Mean of X|+---------+--------------+----------------+--------+---------+----------+

Characteristics in numerator of Prob[Y = 1]Constant 1.60167330 1.21560777 1.318 .1876PREC -.49218090 .07963090 -6.181 .0000 3.41666667ING .51617779 .10494190 4.919 .0000 3.34871795EDU .43671846 .15744034 2.774 .0055 3.13846154CONT .65594146 .27617236 2.375 .0175 .42820513DIST -.69270097 .25305566 -2.737 .0062 3.77179487ENF .29410073 .29164206 1.008 .3132 .24871795 GEN -.06547728.25941833 -.252 .8007 .50769231

HIJO .14775757 .27392281 .539 .5896 .67948718EDAD -.16263826 .10725120 -1.516 .1294 2.67435897

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

Matrix: LastOutp

[10,4]

| Information Statistics for Discrete Choice Model. || M=Model MC=Constants Only M0=No Model || Criterion F (log L) -199.46933 -266.29296 -270.32740 || LR Statistic vs. MC 133.64725 .00000 .00000 || Degrees of Freedom 9.00000 .00000 .00000 || Prob. Value for LR .00000 .00000 .00000 || Entropy for probs. 199.46933 266.29296 270.32740 || Normalized Entropy .73788 .98508 1.00000 || Entropy Ratio Stat. 141.71613 8.06889 .00000 || Bayes Info Criterion 452.63399 586.28123 594.35012 || BIC - BIC(no model) 141.71613 8.06889 .00000 || Pseudo R-squared .25094 .00000 .00000 |


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| Pct. Correct Prec. 77.69231 .00000 50.00000 || Means: y=0 y=1 y=2 y=3 yu=4 y=5, y=6 y>=7 || Outcome .4282 .5718 .0000 .0000 .0000 .0000 .0000 .0000 || Pred.Pr .4282 .5718 .0000 .0000 .0000 .0000 .0000 .0000 || Notes: Entropy computed as Sum(i)Sum(j)Pfit(i,j)*logPfit(i,j). || Normalized entropy is computed against M0. || Entropy ratio statistic is computed against M0. || BIC = 2*criterion - log(N)*degrees of freedom. |

| If the model has only constants or if it has no constants, || the statistics reported here are not useable. |+--------------------------------------------------------------------+

+-------------------------------------------+| Partial derivatives of probabilities with || respect to the vector of characteristics. || They are computed at the means of the Xs. || Observations used are All Obs. |+-------------------------------------------++---------+--------------+----------------+--------+---------+----------+|Variable | Coefficient | Standard Error |b/St.Er.|P[|Z|>z] |Elasticity|+---------+--------------+----------------+--------+---------+----------+

Characteristics in numerator of Prob[Y = 1]Constant .38536789 .29092882 1.325 .1853PREC -.11842035 .01908625 -6.204 .0000 -.67779880

ING .12419408 .02521758 4.925 .0000 .69670883EDU .10507591 .03789977 2.772 .0056 .55244849Marginal effect for dummy variable is P|1 - P|0.

CONT .15510992 .06375964 2.433 .0150 .11126620DIST -.16666614 .06058064 -2.751 .0059 -1.05309437

Marginal effect for dummy variable is P|1 - P|0.ENF .06955826 .06766128 1.028 .3039 .02898195

Marginal effect for dummy variable is P|1 - P|0.GEN -.01575126 .06239872 -.252 .8007 -.01339639

Marginal effect for dummy variable is P|1 - P|0.HIJO .03571352 .06646880 .537 .5911 .04065236EDAD -.03913130 .02579802 -1.517 .1293 -.17531370

+---------------------+| Marginal Effects for|+----------+----------+| Variable | All Obs. |

+----------+----------+| ONE | .38537 || PREC | -.11842 || ING | .12419 || EDU | .10508 || CONT | .15511 || DIST | -.16667 || ENF | .06956 || GEN | -.01575 || HIJO | .03571 || EDAD | -.03913 |+----------+----------++----------------------------------------+| Fit Measures for Binomial Choice Model || Logit model for variable PSI |+----------------------------------------+

| Proportions P0= .428205 P1= .571795 || N = 390 N0= 167 N1= 223 || LogL = -199.46933 LogL0 = -266.2930 || Estrella = 1-(L/L0)^(-2L0/n) = .32603 |+----------------------------------------+| Efron | McFadden | Ben./Lerman || .32487 | .25094 | .66483 || Cramer | Veall/Zim. | Rsqrd_ML || .31554 | .44212 | .29014 |+----------------------------------------+| Information Akaike I.C. Schwarz I.C. || Criteria 1.07420 458.60013 |+----------------------------------------+Frequencies of actual & predicted outcomesPredicted outcome has maximum probability.Threshold value for predicting Y=1 = .5000

Predicted------ ---------- + -----Actual 0 1 | Total------ ---------- + -----


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0 118 49 | 1671 38 185 | 223

------ ---------- + -----Total 156 234 | 390

=======================================================================Analysis of Binary Choice Model Predictions Based on Threshold = .5000-----------------------------------------------------------------------

Prediction Success-----------------------------------------------------------------------Sensitivity = actual 1s correctly predicted 82.960%Specificity = actual 0s correctly predicted 70.659%Positive predictive value = predicted 1s that were actual 1s 79.060%Negative predictive value = predicted 0s that were actual 0s 75.641%Correct prediction = actual 1s and 0s correctly predicted 77.692%-----------------------------------------------------------------------Prediction Failure-----------------------------------------------------------------------False pos. for true neg. = actual 0s predicted as 1s 29.341%False neg. for true pos. = actual 1s predicted as 0s 17.040%False pos. for predicted pos. = predicted 1s actual 0s 20.940%False neg. for predicted neg. = predicted 0s actual 1s 24.359%False predictions = actual 1s and 0s incorrectly predicted 22.308%=======================================================================

--> PROC = DAD$--> ENDPROC$--> LIST;DAP$--> CALC;COEF1=B(1)$--> CALC;COEF2=B(2)$--> CALC;COEF3=B(3)$--> CALC;COEF4=B(4)$--> CALC;COEF5=B(5)$--> CALC;COEF6=B(6)$--> CALC;COEF7=B(7)$--> CALC;COEF8=B(8)$--> CALC;COEF9=B(9)$--> CALC;COEF10=B(10)$--> CREATE;ALFA=COEF1+COEF3*ING+COEF4*EDU+COEF5*CONT+COEF6*DIST+COEF7*ENF+COE...--> CREATE;BETA=B(2)$--> CREATE;DAP=-ALFA/BETA$--> DSTAT;RHS=DAP$

Descriptive StatisticsAll results based on nonmissing observations.===============================================================================Variable Mean Std.Dev. Minimum Maximum Cases===============================================================================-------------------------------------------------------------------------------All observations in current sample-------------------------------------------------------------------------------DAP 4.21457812 2.41429729 -1.92438462 12.0764156 390

M atrix: LastDsta

[1,7]

--> LIST;DAP$

Listing of raw data (Current sample)


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Line Observ. DAP1 1 6.521462 2 4.544713 3 5.982364 4 4.375715 5 2.922846 6 3.536637 7 6.805438 8 5.71970

9 9 7.4585610 10 8.3336011 11 5.4545012 12 5.9541513 13 4.7937314 14 1.8078915 15 2.6086416 16 2.4687817 17 2.8188218 18 4.3125519 19 2.2997820 20 4.1150821 21 3.1307622 22 4.5872123 23 5.6226024 24 5.6800325 25 5.5284926 26 4.7937327 27 4.12088

28 28 .6110629 29 5.5859130 30 3.1946531 31 1.6871232 32 2.4638833 33 7.9457334 34 2.9839835 35 2.5205036 36 8.1439537 37 4.7184238 38 2.2724039 39 5.3790140 40 5.0668341 41 -1.9243842 42 7.2397743 43 5.9239144 44 2.0536045 45 .7998146 46 6.6847347 47 3.0721248 48 2.2724049 49 7.002950 50 -.1270851 51 3.4901652 52 3.4959553 53 2.6377854 54 5.7386755 55 5.7265056 56 3.0371957 57 6.0511558 58 5.008259 59 5.7074360 60 9.1691161 61 2.4774362 62 5.5585263 63 .8056164 64 4.60225

65 65 9.3823666 66 5.6057467 67 3.2230568 68 5.5196869 69 4.6265770 70 3.6289971 71 4.5447172 72 5.6237073 73 5.9239174 74 3.8780275 75 4.2358476 76 2.4897077 77 .1806978 78 7.2416079 79 2.0175780 80 5.2056081 81 6.0104782 82 5.8774483 83 4.43508

84 84 4.0755085 85 4.3594786 86 6.9261987 87 8.77992

88 88 6.0386889 89 5.9239190 90 2.005391 91 6.7298092 92 2.2207793 93 4.5749594 94 7.1932995 95 4.6777596 96 8.02142

97 97 6.6956798 98 5.8774499 99 .22136100 100 5.62370101 101 6.53832102 102 2.91068103 103 6.08718104 104 7.13594105 105 6.38739106 106 2.76429107 107 7.41808108 108 2.47743109 109 6.97267110 110 5.60574111 111 5.48384112 112 -.67639113 113 4.28988114 114 2.21504115 115 1.75912

116 116 .72602117 117 1.04420118 118 6.17091119 119 5.32147120 120 5.03842121 121 5.92391122 122 4.07440123 123 2.13833124 124 .64416125 125 6.53832126 126 4.79171127 127 8.26842128 128 5.29123129 129 3.02564130 130 8.16643131 131 1.13605132 132 1.67485133 133 5.16963134 134 3.70563135 135 4.73529136 136 1.28698137 137 4.43508138 138 6.34201139 139 .80561140 140 2.60864141 141 3.83867142 142 4.10464143 143 1.22371144 144 7.52954145 145 5.62370146 146 5.58747147 147 6.94426148 148 4.31829149 149 4.67775150 150 5.29216151 151 1.30505152 152 2.57443

153 153 2.23172154 154 1.04420155 155 2.24509156 156 .87181157 157 1.88460158 158 5.24678159 159 .80561160 160 7.60045161 161 4.45132162 162 5.63597163 163 6.20788164 164 4.58960165 165 7.05932166 166 6.84146167 167 5.65191168 168 5.54699169 169 5.51205170 170 .87181171 171 7.81350

172 172 4.55698173 173 7.85418174 174 8.35187175 175 4.96281

176 176 4.87516177 177 1.80789178 178 7.13587179 179 6.14460180 180 3.73926181 181 3.07212182 182 1.13605183 183 5.86968184 184 3.56565

185 185 3.13076186 186 3.62899187 187 7.14167188 188 3.54777189 189 4.99012190 190 4.24450191 191 4.73529192 192 3.22305193 193 2.65114194 194 7.34429195 195 8.60273196 196 3.79043197 197 3.06632198 198 3.65740199 199 2.90598200 200 5.95212201 201 2.79922202 202 8.53553203 203 7.38867

204 204 1.42002205 205 5.45450206 206 .59530E-02207 207 3.51753208 208 6.62396209 209 1.89033210 210 4.99012211 211 5.03842212 212 3.77992213 213 .89327214 214 3.62429215 215 4.96281216 216 .96705217 217 1.25102218 218 4.55698219 219 6.98494220 220 4.19047221 221 4.41821222 222 1.33346223 223 4.05753224 224 7.70225225 225 9.19270226 226 6.05695227 227 3.68763228 228 6.94426229 229 5.04887230 230 .95654231 231 -.89187232 232 1.96002233 233 1.91477234 234 2.57443235 235 .59530E-02236 236 4.83919237 237 2.74168238 238 3.49016239 239 5.15912240 240 7.48306

241 241 1.89033242 242 8.10698243 243 8.73873244 244 3.15398245 245 7.58218246 246 2.57268247 247 6.89125248 248 2.22599249 249 3.05405250 250 1.08958251 251 6.47498252 252 2.44147253 253 6.17191254 254 -1.20425255 255 1.42002256 256 5.84147257 257 -.44526258 258 2.31887259 259 1.84385

260 260 5.24678261 261 -.37618262 262 3.53663263 263 3.98784


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264 264 2.46878265 265 4.96281266 266 4.27181267 267 5.81409268 268 1.73360269 269 5.0082270 270 3.95943271 271 4.67775272 272 4.38798

273 273 2.41123274 274 3.98784275 275 2.93909276 276 4.50875277 277 2.0071278 278 3.04916279 279 4.06584280 280 5.70170281 281 7.66177282 282 7.46436283 283 3.49595284 284 3.94137285 285 9.71280286 286 12.07642287 287 2.10920288 288 3.28519289 289 10.44238290 290 6.92619291 291 3.40256

292 292 2.02336293 293 2.43964294 294 3.94137295 295 .67257296 296 5.84147297 297 -1.92438298 298 5.06683299 299 4.32923300 300 3.10809301 301 4.60225302 302 6.98494303 303 6.25436304 304 6.34201305 305 3.02674306 306 6.64222

307 307 3.62899308 308 2.36598309 309 4.96281310 310 4.54471311 311 3.49016312 312 1.52392313 313 6.15034314 314 .67257315 315 4.70615

316 316 6.47498317 317 6.62498318 318 2.05158319 319 5.67432320 320 6.53140321 321 -1.19380322 322 6.71294323 323 2.63888324 324 3.77992325 325 5.0015326 326 6.05695327 327 5.28360328 328 -1.46091329 329 5.92391330 330 5.50008331 331 6.99425332 332 2.46878333 333 1.69292334 334 1.46650

335 335 2.66209336 336 3.95943337 337 -.93305338 338 -1.76112339 339 7.99302340 340 5.87744341 341 4.54912342 342 .62610343 343 2.74168344 344 5.95415345 345 2.46878346 346 3.32116347 347 .17495348 348 1.19633349 349 2.14699

350 350 3.56401351 351 6.05115352 352 3.65740353 353 4.81181354 354 10.008355 355 -1.33728356 356 4.28232357 357 3.40256358 358 .06923

359 359 2.14699360 360 .84157361 361 -.75884362 362 3.95943363 363 5.27529364 364 5.19987365 365 7.66257366 366 3.88853367 367 4.03763368 368 -.57359369 369 7.52374370 370 7.69098371 371 2.89261372 372 2.91068373 373 3.79043374 374 6.20215375 375 2.90488376 376 5.72650377 377 5.47270

378 378 6.64222379 379 6.19101380 380 10.44238381 381 .75913382 382 4.15684383 383 4.31829384 384 5.19987385 385 3.24112386 386 1.39844387 387 4.70798388 388 4.73529389 389 -.11952390 390 1.30505

--> PROC = PRECR$--> PROC = DAPR$--> ENDPROC$

--> PROC = DAPR$--> CREATE;PRECR=(10-PREC)/PREC$--> CALC;COEF1=B(1)$--> CALC;COEF2=B(2)$--> CALC;COEF3=B(3)$--> CALC;COEF4=B(4)$--> CALC;COEF5=B(5)$--> CALC;COEF6=B(6)$--> CALC;COEF7=B(7)$--> CALC;COEF8=B(8)$--> CALC;COEF9=B(9)$--> CALC;COEF10=B(10)$--> CREATE;EXPO=EXP(-(COEF1+COEF2*ING+COEF3*EDU+COEF4*CONT+COEF5*DIST+COEF6*E...--> CREATE;DAPR=10/(1+EXPO)$--> DSTAT;RHS=DAPR$--> LIST;DAPR$--> ENDPROC--> WRITE;*;File="D:\maestria - II\Economia ambiental\Inforne de Taller Pract...Wrote data file:D:\maestria - II\Economia ambiental\Inforne de Taller Practico\Datos\datosVC.wksData file contains 390 observations and 17 variables.DIST , CONT , ENF , PSI , PREC , GEN , HIJO , EDAD ,EDU , ING , LOGL_OBS, ALFA , BETA , DAP , PRECR , EXPO ,DAPR ,--> LOGIT;Lhs=PSI;Rhs=ONE,ING,EDU,CONT,DIST,ENF,GEN,HIJO,EDAD,PRECR$Normal exit from iterations. Exit status=0.

+---------------------------------------------+| Multinomial Logit Model || Maximum Likelihood Estimates || Model estimated: May 25, 2013 at 00:22:46PM.|| Dependent variable PSI || Weighting variable None |

| Number of observations 390 || Iterations completed 6 || Log likelihood function -208.9167 |


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| Restricted log likelihood -266.2930 || Chi squared 114.7524 || Degrees of freedom 9 || Prob[ChiSqd > value] = .0000000 || Hosmer-Lemeshow chi-squared = 30.90944 || P-value= .00015 with deg.fr. = 8 |+---------------------------------------------++---------+--------------+----------------+--------+---------+----------+

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

Characteristics in numerator of Prob[Y = 1]Constant -.76942087 1.18210514 -.651 .5151ING .46050491 .09895540 4.654 .0000 3.34871795EDU .48156827 .15502677 3.106 .0019 3.13846154CONT .73673482 .26816945 2.747 .0060 .42820513DIST -.63778590 .24870072 -2.564 .0103 3.77179487ENF .27756931 .28662595 .968 .3328 .24871795GEN -.07058832 .25199488 -.280 .7794 .50769231HIJO -.00140102 .26420406 -.005 .9958 .67948718EDAD -.15117526 .10485794 -1.442 .1494 2.67435897PRECR .16360636 .03975684 4.115 .0000 3.68411033

Matrix: LastOutp

[10,4]

+--------------------------------------------------------------------+| Information Statistics for Discrete Choice Model. || M=Model MC=Constants Only M0=No Model || Criterion F (log L) -208.91674 -266.29296 -270.32740 || LR Statistic vs. MC 114.75243 .00000 .00000 || Degrees of Freedom 9.00000 .00000 .00000 || Prob. Value for LR .00000 .00000 .00000 || Entropy for probs. 208.91674 266.29296 270.32740 || Normalized Entropy .77283 .98508 1.00000 || Entropy Ratio Stat. 122.82131 8.06889 .00000 || Bayes Info Criterion 471.52881 586.28123 594.35012 || BIC - BIC(no model) 122.82131 8.06889 .00000 || Pseudo R-squared .21546 .00000 .00000 || Pct. Correct Prec. 75.64103 .00000 50.00000 || Means: y=0 y=1 y=2 y=3 yu=4 y=5, y=6 y>=7 |

| Outcome .4282 .5718 .0000 .0000 .0000 .0000 .0000 .0000 || Pred.Pr .4282 .5718 .0000 .0000 .0000 .0000 .0000 .0000 || Notes: Entropy computed as Sum(i)Sum(j)Pfit(i,j)*logPfit(i,j). || Normalized entropy is computed against M0. || Entropy ratio statistic is computed against M0. || BIC = 2*criterion - log(N)*degrees of freedom. || If the model has only constants or if it has no constants, || the statistics reported here are not useable. |+--------------------------------------------------------------------++----------------------------------------+| Fit Measures for Binomial Choice Model || Logit model for variable PSI |+----------------------------------------+| Proportions P0= .428205 P1= .571795 || N = 390 N0= 167 N1= 223 || LogL = -208.91674 LogL0 = -266.2930 |

| Estrella = 1-(L/L0)^(-2L0/n) = .28207 |+----------------------------------------+| Efron | McFadden | Ben./Lerman || .28061 | .21546 | .64354 || Cramer | Veall/Zim. | Rsqrd_ML || .27208 | .39382 | .25490 |+----------------------------------------+| Information Akaike I.C. Schwarz I.C. || Criteria 1.12265 477.49495 |+----------------------------------------+Frequencies of actual & predicted outcomesPredicted outcome has maximum probability.Threshold value for predicting Y=1 = .5000

Predicted------ ---------- + -----Actual 0 1 | Total------ ---------- + -----0 113 54 | 1671 41 182 | 223

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


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Total 154 236 | 390

=======================================================================Analysis of Binary Choice Model Predictions Based on Threshold = .5000-----------------------------------------------------------------------Prediction Success-----------------------------------------------------------------------Sensitivity = actual 1s correctly predicted 81.614%

Specificity = actual 0s correctly predicted 67.665%Positive predictive value = predicted 1s that were actual 1s 77.119%Negative predictive value = predicted 0s that were actual 0s 73.377%Correct prediction = actual 1s and 0s correctly predicted 75.641%-----------------------------------------------------------------------Prediction Failure-----------------------------------------------------------------------False pos. for true neg. = actual 0s predicted as 1s 32.335%False neg. for true pos. = actual 1s predicted as 0s 18.386%False pos. for predicted pos. = predicted 1s actual 0s 22.881%False neg. for predicted neg. = predicted 0s actual 1s 26.623%False predictions = actual 1s and 0s incorrectly predicted 24.359%=======================================================================--> PROC = DAPR$--> ENDPROC$--> CREATE;PRECR=(10-PREC)/PREC$

--> CALC;COEF1=B(1)$--> CALC;COEF2=B(2)$--> CALC;COEF3=B(3)$--> CALC;COEF4=B(4)$--> CALC;COEF5=B(5)$--> CALC;COEF6=B(6)$--> CALC;COEF7=B(7)$--> CALC;COEF8=B(8)$--> CALC;COEF9=B(9)$--> CALC;COEF10=B(10)$--> CREATE;EXPO=EXP(-(COEF1+COEF2*ING+COEF3*EDU+COEF4*CONT+COEF5*DIST+COEF6*E...--> CREATE;DAPR=10/(1+EXPO)$--> DSTAT;RHS=DAPR$Descriptive StatisticsAll results based on nonmissing observations.===============================================================================Variable Mean Std.Dev. Minimum Maximum Cases

===============================================================================-------------------------------------------------------------------------------All observations in current sample-------------------------------------------------------------------------------DAPR 5.71794872 2.54349337 .471378667 9.92352956 390

M atrix: LastDsta

[1,7]

--> LIST;DAPR$

Listing of raw data (Current sample)Line Observ. DAPR

1 1 9.805452 2 9.539433 3 9.785664 4 9.45756

5 5 9.253576 6 9.253537 7 9.851718 8 9.753819 9 9.88144

10 10 9.9235311 11 9.7312512 12 9.7801113 13 9.6697814 14 8.5848215 15 8.8979616 16 8.9139717 17 9.2727118 18 9.4796719 19 8.7356420 20 9.4496421 21 9.1461622 22 9.6165923 23 9.7539524 24 9.75562

25 25 9.6411726 26 9.6697827 27 7.5673628 28 4.3290029 29 8.40489

30 30 7.2544931 31 5.3367732 32 6.5088333 33 9.5570334 34 6.8549535 35 6.3584536 36 9.6175237 37 8.0415038 38 5.9234139 39 8.7864940 40 8.4255441 41 1.5008942 42 9.3042643 43 8.8146244 44 5.9059745 45 4.1419346 46 9.2463747 47 6.6247948 48 5.9234149 49 9.32102

50 50 3.0757351 51 7.3231452 52 7.1792053 53 5.2395854 54 8.27268

55 55 7.9905756 56 5.0314357 57 8.3255158 58 7.4480259 59 8.1138660 60 9.5631761 61 5.2021062 62 7.9897163 63 2.7603064 64 7.2037665 65 9.5870566 66 7.9390967 67 5.8289068 68 8.1614469 69 7.4670370 70 6.1287271 71 7.004272 72 8.1189973 73 8.1168574 74 6.50036


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75 75 6.6674676 76 5.2989277 77 2.3777078 78 9.0822379 79 3.7006380 80 7.0661381 81 7.9962782 82 7.88077

83 83 6.7822884 84 6.000885 85 6.6419286 86 8.5493987 87 9.3982988 88 8.0377789 89 7.6644090 90 3.6105891 91 8.6587892 92 3.7201393 93 6.7463394 94 8.6992295 95 6.5638596 96 8.9180797 97 8.6069698 98 7.88077

99 99 1.83855100 100 7.66691101 101 8.34205102 102 4.69386103 103 8.04000104 104 8.66688105 105 7.76689106 106 3.82754107 107 8.50736108 108 4.12073109 109 8.15359110 110 7.13484111 111 7.39340112 112 1.26726113 113 5.80656114 114 3.46090115 115 3.39678

116 116 2.40914117 117 2.62052118 118 7.76351119 119 7.11164120 120 6.87267121 121 7.35889122 122 5.69125123 123 3.39889124 124 2.01095125 125 8.10324126 126 6.53134127 127 8.97111128 128 6.78845129 129 4.54570130 130 9.10524131 131 2.22813

132 132 2.92028133 133 6.48792134 134 5.17978135 135 6.41213136 136 2.60435137 137 6.41535138 138 7.91740139 139 1.97733140 140 3.70741141 141 5.35572142 142 6.06079143 143 2.51657144 144 8.46387145 145 7.14439146 146 7.22010147 147 8.12722148 148 5.31146149 149 5.92558150 150 6.90392151 151 2.33942

152 152 3.83616153 153 3.39789154 154 2.41513155 155 3.40405156 156 2.21772157 157 2.89767158 158 7.09080159 159 1.80999

160 160 8.58913161 161 5.48678162 162 7.22294163 163 7.67076164 164 6.17590165 165 8.29337166 166 8.24883167 167 7.19735168 168 7.08791169 169 7.23036170 170 2.21772171 171 8.78976172 172 5.84868173 173 8.73243174 174 8.79513175 175 6.49010

176 176 6.11860177 177 2.84136178 178 8.34880179 179 7.58740180 180 5.13542181 181 3.97391182 182 2.04497183 183 7.08321184 184 4.52978185 185 3.93331186 186 4.59126187 187 8.13130188 188 4.78385189 189 6.18036190 190 5.56620191 191 5.97162192 192 4.28343

193 193 3.71774194 194 8.49926195 195 9.10025196 196 4.53900197 197 3.96032198 198 4.36467199 199 3.92444200 200 7.03462201 201 3.66231202 202 8.91383203 203 8.44262204 204 2.38649205 205 6.86682206 206 1.29035207 207 4.40511208 208 7.85536

209 209 2.63987210 210 6.18036211 211 6.45746212 212 5.10443213 213 1.93418214 214 4.68113215 215 6.31064216 216 1.66788217 217 2.08773218 218 5.65836219 219 7.92007220 220 5.39718221 221 5.60999222 222 1.95577223 223 4.70792224 224 8.36607225 225 9.21153226 226 7.0054227 227 4.59745228 228 7.91082

229 229 5.83355230 230 1.91500231 231 .97721232 232 2.61541233 233 2.97554234 234 3.51930235 235 1.22609236 236 5.54075

237 237 3.30956238 238 4.45060239 239 6.44518240 240 8.44914241 241 2.52791242 242 8.74483243 243 8.86439244 244 4.20456245 245 8.60700246 246 2.93986247 247 8.07666248 248 3.20899249 249 3.73020250 250 2.02667251 251 7.65294252 252 3.31267

253 253 7.21895254 254 .82611255 255 2.28195256 256 6.90553257 257 1.04249258 258 2.73200259 259 2.77133260 260 6.80177261 261 .97750262 262 4.03440263 263 4.48133264 264 3.09283265 265 6.06568266 266 5.16997267 267 6.97228268 268 2.20520269 269 5.85147

270 270 4.70892271 271 5.48043272 272 4.97191273 273 2.88951274 274 4.48133275 275 3.38783276 276 5.05131277 277 3.14103278 278 3.98713279 279 4.59925280 280 6.86290281 281 8.20953282 282 8.08800283 283 4.16216284 284 4.79222285 285 9.28832

286 286 9.74950287 287 2.41713288 288 3.68191289 289 9.50840290 290 7.89085291 291 3.90084292 292 2.57570293 293 2.70491294 294 4.79222295 295 1.46544296 296 6.80759297 297 .47138298 298 5.99856299 299 5.18739300 300 3.69855301 301 5.45581302 302 7.67961303 303 7.0029304 304 7.32674305 305 3.66904


9/9

306 306 7.32399307 307 4.24556308 308 3.19115309 309 5.97859310 310 5.21442311 311 4.24958312 312 1.94911313 313 7.06142

314 314 1.42055315 315 5.16183316 316 7.50283317 317 7.90790318 318 2.55614319 319 6.94946320 320 7.59937321 321 .63293322 322 7.72826323 323 3.30997324 324 4.75406325 325 5.54101326 326 6.83107327 327 6.07244328 328 .56201329 329 6.67633

330 330 6.07710331 331 7.60125332 332 3.01571333 333 2.23364334 334 1.93818

335 335 3.69860336 336 4.61844337 337 .69835338 338 .56275339 339 8.42959340 340 6.88434341 341 5.41531342 342 1.54071

343 343 3.06738344 344 6.94306345 345 2.95343346 346 3.76498347 347 1.29289348 348 2.02638349 349 2.96601350 350 3.69555351 351 6.92231352 352 3.89293353 353 5.39338354 354 9.32798355 355 .68223356 356 4.37926357 357 3.68688358 358 1.13226

359 359 2.91456360 360 1.57013361 361 .92075362 362 4.48321363 363 5.93738

364 364 5.94973365 365 8.15097366 366 3.90190367 367 4.25896368 368 .82041369 369 8.15344370 370 8.0088371 371 3.41743

372 372 3.34270373 373 4.01151374 374 7.20943375 375 3.50531376 376 6.32139377 377 6.08033378 378 7.13683379 379 6.74894380 380 9.44403381 381 1.54966382 382 4.58639383 383 4.53414384 384 5.85552385 385 3.64534386 386 1.99538387 387 5.53666

388 388 5.39898389 389 1.17065390 390 1.82752

Documents

Anexo Final 2