ΠŸΠΎΠΌΠΎΡ‰ΡŒ Π² написании студСнчСских Ρ€Π°Π±ΠΎΡ‚
АнтистрСссовый сСрвис

Анализ российского Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости

Π”ΠΎΠΊΠ»Π°Π΄ ΠšΡƒΠΏΠΈΡ‚ΡŒ Π³ΠΎΡ‚ΠΎΠ²ΡƒΡŽ Π£Π·Π½Π°Ρ‚ΡŒ ΡΡ‚ΠΎΠΈΠΌΠΎΡΡ‚ΡŒΠΌΠΎΠ΅ΠΉ Ρ€Π°Π±ΠΎΡ‚Ρ‹

Dependent Variable: PRICE Method: Least Squares Date: 11/29/11 Time: 14:14 Sample (adjusted): 1 44 Included observations: 44 after adjusting endpoints Variable Coefficient Std. Error t-Statistic Prob. C 1.657 188 0.990 323 1.673 381 0.1023 ROOMS 2.238 203 0.416 629 5.372 180 0.0000 FLOORSET 0.69 701 0.44 894 1.552 574 0.1286 PANEL 0.326 773 0.442 156 0.739 044 0.4643 MONOLIT 1.849 988 1.402 566… Π§ΠΈΡ‚Π°Ρ‚ΡŒ Π΅Ρ‰Ρ‘ >

Анализ российского Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости (Ρ€Π΅Ρ„Π΅Ρ€Π°Ρ‚, курсовая, Π΄ΠΈΠΏΠ»ΠΎΠΌ, ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΡŒΠ½Π°Ρ)

Π‘ΠΎΠ΄Π΅Ρ€ΠΆΠ°Π½ΠΈΠ΅

  • 1. Π’Π½Π΅ΡˆΠ½ΠΈΠ΅ условия функционирования российского Ρ€Ρ‹Π½ΠΊΠ° Тилья
  • 2. ЦСновая ситуация
  • 3. ΠΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости
  • 4. Π”ΠΈΠ½Π°ΠΌΠΈΠΊΠ° объСмов Π²Π²ΠΎΠ΄Π° Тилья
  • 5. ΠŸΠ΅Ρ€ΡΠΏΠ΅ΠΊΡ‚ΠΈΠ²Ρ‹ развития Ρ€Ρ‹Π½ΠΊΠ° Тилья
  • Бписок ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΠ΅ΠΌΠΎΠΉ Π»ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Ρ‹

Error t-Statistic Prob. C 1.754 247 1.285 210 1.364 949 0.1807 TOTALSQ 0.16 446 0.27 556 0.596 802 0.5544 ROOMS 1.941 527 0.680 059 2.854 939 0.0071 KITCHEN -0.56 081 0.150 416 -0.372 836 0.7115 FLOOR 0.38 209 0.51 647 0.739 816 0.4642 FLOORSET 0.53 964 0.71 258 0.757 309 0.4538 PANEL 0.408 198 0.511 646 0.797 812 0.4302 MONOLIT 1.637 987 1.463 537 1.119 198 0.2705 R-squared 0.454 680 Mean dependent var 6.454 545 Adjusted R-squared 0.348 646 S.D. dependent var 1.648 883 S.E. of regression 1.330 756 Akaike info criterion 3.572 337 Sum squared resid 63.75 281 Schwarz criterion 3.896 735 Log likelihood -70.59 142 F-statistic 4.288 048 Durbin-Watson stat 1.901 040 Prob (F-statistic) 0.1 548 Estimation Equation:

=====================

PRICE = C (1) + C (2)*TOTALSQ + C (3)*ROOMS + C (4)*KITCHEN + C (5)*FLOOR + C (6)*FLOORSET + C (7)*PANEL + C (8)*MONOLIT

Substituted Coefficients:

=====================

PRICE = 1.754 246 566 + 0.1 644 563 258*TOTALSQ + 1.941 527 207*ROOMS — 0.5 608 075 628*KITCHEN + 0.3 820 948 914*FLOOR + 0.5 396 427 524*FLOORSET + 0.4 081 975 609*PANEL + 1.637 987 423*MONOLIT

Dependent Variable: PRICE Method: Least Squares Date: 11/29/11 Time: 14:11 Sample (adjusted): 1 44 Included observations: 44 after adjusting endpoints Variable Coefficient Std. Error t-Statistic Prob. TOTALSQ 0.23 173 0.23 779 0.974 521 0.3360 ROOMS 2.238 194 0.632 700 3.537 527 0.0011 FLOOR 0.38 380 0.50 656 0.757 659 0.4533 FLOORSET 0.70 117 0.50 583 1.386 173 0.1738 PANEL 0.643 524 0.461 768 1.393 610 0.1715 MONOLIT 1.819 664 1.451 725 1.253 449 0.2177 R-squared 0.423 191 Mean dependent var 6.454 545 Adjusted R-squared 0.347 295 S.D. dependent var 1.648 883 S.E. of regression 1.332 135 Akaike info criterion 3.537 567 Sum squared resid 67.43 419 Schwarz criterion 3.780 865 Log likelihood -71.82 647 Durbin-Watson stat 1.655 417 Estimation Equation:

=====================

PRICE = C (1)*TOTALSQ + C (2)*ROOMS + C (3)*FLOOR + C (4)*FLOORSET + C (5)*PANEL + C (6)*MONOLIT

Substituted Coefficients:

=====================

PRICE = 0.2 317 277 946*TOTALSQ + 2.238 194 013*ROOMS + 0.3 838 029 632*FLOOR + 0.7 011 718 428*FLOORSET + 0.6 435 239 391*PANEL + 1.819 664 073*MONOLIT

Dependent Variable: PRICE Method: Least Squares Date: 11/29/11 Time: 14:13 Sample (adjusted): 1 44 Included observations: 44 after adjusting endpoints Variable Coefficient Std. Error t-Statistic Prob. C 1.443 224 1.50 262 1.374 156 0.1774 TOTALSQ 0.15 820 0.24 258 0.652 156 0.5182 ROOMS 1.928 149 0.634 199 3.40 289 0.0043 FLOORSET 0.60 918 0.47 191 1.290 896 0.2045 PANEL 0.402 516 0.460 342 0.874 384 0.3874 MONOLIT 1.804 382 1.414 745 1.275 412 0.2099 R-squared 0.442 196 Mean dependent var 6.454 545 Adjusted R-squared 0.368 801 S.D. dependent var 1.648 883 S.E. of regression 1.310 005 Akaike info criterion 3.504 063 Sum squared resid 65.21 234 Schwarz criterion 3.747 362 Log likelihood -71.8 940 F-statistic 6.24 861 Durbin-Watson stat 1.817 388 Prob (F-statistic) 0.337

Estimation Equation:

=====================

PRICE = C (1) + C (2)*TOTALSQ + C (3)*ROOMS + C (4)*FLOORSET + C (5)*PANEL + C (6)*MONOLIT

Substituted Coefficients:

=====================

PRICE = 1.443 223 531 + 0.1 581 985 971*TOTALSQ + 1.928 149 302*ROOMS + 0.6 091 844 185*FLOORSET + 0.4 025 158 921*PANEL + 1.804 381 667*MONOLIT

Dependent Variable: PRICE Method: Least Squares Date: 11/29/11 Time: 14:14 Sample (adjusted): 1 44 Included observations: 44 after adjusting endpoints Variable Coefficient Std. Error t-Statistic Prob. C 1.657 188 0.990 323 1.673 381 0.1023 ROOMS 2.238 203 0.416 629 5.372 180 0.0000 FLOORSET 0.69 701 0.44 894 1.552 574 0.1286 PANEL 0.326 773 0.442 156 0.739 044 0.4643 MONOLIT 1.849 988 1.402 566 1.319 003 0.1949 R-squared 0.435 953 Mean dependent var 6.454 545 Adjusted R-squared 0.378 102 S.D. dependent var 1.648 883 S.E. of regression 1.300 318 Akaike info criterion 3.469 739 Sum squared resid 65.94 222 Schwarz criterion 3.672 488 Log likelihood -71.33 426 F-statistic 7.535 795 Durbin-Watson stat 1.931 799 Prob (F-statistic) 0.134

Estimation Equation:

=====================

PRICE = C (1) + C (2)*ROOMS + C (3)*FLOORSET + C (4)*PANEL + C (5)*MONOLIT

Substituted Coefficients:

=====================

PRICE = 1.657 188 448 + 2.238 203 476*ROOMS + 0.6 970 112 148*FLOORSET + 0.326 772 981*PANEL + 1.84 998 789*MONOLIT

Dependent Variable: PRICE Method: Least Squares Date: 11/29/11 Time: 14:16 Sample (adjusted): 1 44 Included observations: 44 after adjusting endpoints Variable Coefficient Std. Error t-Statistic Prob. C 1.805 132 0.964 363 1.871 840 0.0686 ROOMS 2.211 641 0.412 714 5.358 773 0.0000 FLOORSET 0.78 459 0.43 056 1.822 265 0.0759 MONOLIT 1.570 973 1.343 114 1.169 649 0.2491 R-squared 0.428 054 Mean dependent var 6.454 545 Adjusted R-squared 0.385 158 S.D. dependent var 1.648 883 S.E. of regression 1.292 920 Akaike info criterion 3.438 192 Sum squared resid 66.86 572 Schwarz criterion 3.600 391 Log likelihood -71.64 023 F-statistic 9.978 878 Durbin-Watson stat 1.967 568 Prob (F-statistic) 0.49 Estimation Equation:

=====================

PRICE = C (1) + C (2)*ROOMS + C (3)*FLOORSET + C (4)*MONOLIT

Substituted Coefficients:

=====================

PRICE = 1.805 131 996 + 2.211 640 945*ROOMS + 0.7 845 855 281*FLOORSET + 1.570 973 108*MONOLIT

Dependent Variable: PRICE Method: Least Squares Date: 11/29/11 Time: 14:18 Sample (adjusted): 1 44 Included observations: 44 after adjusting endpoints Variable Coefficient Std. Error t-Statistic Prob. C 1.889 617 0.965 961 1.956 205 0.0573 ROOMS 2.129 779 0.408 558 5.212 916 0.0000 FLOORSET 0.84 714 0.42 913 1.974 074 0.0451 R-squared 0.408 492 Mean dependent var 6.454 545 Adjusted R-squared 0.379 638 S.D. dependent var 1.648 883 S.E. of regression 1.298 711 Akaike info criterion 3.426 368 Sum squared resid 69.15 267 Schwarz criterion 3.548 017 Log likelihood -72.38 009 F-statistic 14.15 718 Durbin-Watson stat 2.15 702 Prob (F-statistic) 0.21 Estimation Equation:

=====================

PRICE = C (1) + C (2)*ROOMS + C (3)*FLOORSET

Substituted Coefficients:

=====================

PRICE = 1.889 616 784 + 2.12 977 949*ROOMS + 0.8 471 419 396*FLOORSET

White test

White Heteroskedasticity Test: F-statistic 4.821 428 Probability 0.77 201 Obs*R-squared 28.64 952 Probability 0.4 440 Test Equation: Dependent Variable: RESID2 Method: Least Squares Date: 11/29/11 Time: 14:27 Sample: 1 44 Included observations: 44 Variable Coefficient Std. Error t-Statistic Prob. C 0.95 023 5.455 816 0.17 417 0.9862 TOTALSQ -0.4 681 0.244 285 -0.19 164 0.9848 TOTALSQ2 -8.95E-05 0.2 000 -0.44 738 0.9646 ROOMS 1.29 377 1.244 206 0.827 336 0.4144 KITCHEN -0.16 460 0.926 745 -0.17 761 0.9859 KITCHEN2 -0.8 930 0.44 544 -0.200 477 0.8424 FLOOR -0.132 935 0.238 229 -0.558 015 0.5808 FLOOR2 0.7 329 0.12 863 0.569 772 0.5729 FLOORSET 0.762 272 0.442 815 1.721 423 0.0951 FLOORSET2 -0.23 189 0.16 445 -1.410 128 0.1685 BLOCK -5.613 151 1.183 828 -4.741 526 0.0000 PANEL -5.43 993 0.895 933 -5.629 877 0.0000 MONOLIT -5.193 226 2.7 073 -2.587 462 0.0146 R-squared 0.651 125 Mean dependent var 1.448 862 Adjusted R-squared 0.516 077 S.D. dependent var 2.300 315 S.E. of regression 1.600 204 Akaike info criterion 4.18 846 Sum squared resid 79.38 024 Schwarz criterion 4.545 993 Log likelihood -75.41 461 F-statistic 4.821 428 Durbin-Watson stat 2.185 187 Prob (F-statistic) 0.201

F-statistic 0.750 332 Probability 0.530 234 Log likelihood ratio 2.991 107 Probability 0.392 998

Reset test

Test Equation: Dependent Variable: PRICE Method: Least Squares Date: 11/29/11 Time: 14:04 Sample: 1 44 Included observations: 44 Variable Coefficient Std. Error t-Statistic Prob. C -76.83 820 117.

0039 -0.656 715 0.5161 TOTALSQ -4.715 116 7.750 733 -0.608 345 0.5473 ROOMS -540.

4245 889.

3279 -0.607 677 0.5477 KITCHEN 15.37 842 25.29 012 0.608 080 0.5474 FLOOR -10.61 777 17.41 498 -0.609 692 0.5464 FLOORSET -14.77 672 24.26 462 -0.608 982 0.5468 BLOCK -9.979 409 16.75 613 -0.595 568 0.5557 PANEL -119.

0180 195.

4431 -0.608 965 0.5468 MONOLIT -461.

7482 761.

0756 -0.606 705 0.5483 FITTED2 71.76 239 114.

6966 0.625 672 0.5360 FITTED3 -8.82 833 12.56 430 -0.643 317 0.5246 FITTED4 0.337 478 0.509 377 0.662 531 0.5124 R-squared 0.490 542 Mean dependent var 6.454 545 Adjusted R-squared 0.315 416 S.D. dependent var 1.648 883 S.E. of regression 1.364 279 Akaike info criterion 3.686 130 Sum squared resid 59.56 024 Schwarz criterion 4.172 727 Log likelihood -69.9 487 F-statistic 2.801 080 Durbin-Watson stat 1.942 515 Prob (F-statistic) 0.11 314

Estimation Equation:

=====================

PRICE = C (1) + C (2)*TOTALSQ + C (3)*ROOMS + C (4)*KITCHEN + C (5)*FLOOR + C (6)*FLOORSET + C (7)*BLOCK + C (8)*PANEL + C (9)*MONOLIT

Substituted Coefficients:

=====================

PRICE = 1.726 637 854 + 0.1 694 317 965*TOTALSQ + 1.936 697 362*ROOMS — 0.5 501 970 777*KITCHEN + 0.3 782 873 196*FLOOR + 0.52 898 079*FLOORSET + 0.3 845 333 075*BLOCK + 0.4 276 386 292*PANEL + 1.66 008 988*MONOLIT

ΠŸΠΎΠΊΠ°Π·Π°Ρ‚ΡŒ вСсь тСкст

Бписок Π»ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Ρ‹

  1. Π€Π΅Π΄Π΅Ρ€Π°Π»ΡŒΠ½Π°Ρ цСлСвая ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠ° «Π–ΠΈΠ»ΠΈΡ‰Π΅» Π½Π° 2011 — 2015 Π³ΠΎΠ΄Ρ‹. Π£Ρ‚Π²Π΅Ρ€ΠΆΠ΄Π΅Π½Π° ΠŸΠΎΡΡ‚Π°Π½ΠΎΠ²Π»Π΅Π½ΠΈΠ΅ΠΌ ΠŸΡ€Π°Π²ΠΈΡ‚Π΅Π»ΡŒΡΡ‚Π²Π° Российской Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ ΠΎΡ‚ 17 Π΄Π΅ΠΊΠ°Π±Ρ€Ρ 2010 Π³. № 1050.
  2. Π“. Πœ., Π‘Ρ‚Π΅Ρ€Π½ΠΈΠΊ Π‘. Π“. Випология Ρ€Ρ‹Π½ΠΊΠΎΠ² нСдвиТимости ΠΏΠΎ ΡΠΊΠ»ΠΎΠ½Π½ΠΎΡΡ‚ΠΈ ΠΊ ΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Π½ΠΈΡŽ Ρ†Π΅Π½ΠΎΠ²Ρ‹Ρ… ΠΏΡƒΠ·Ρ‹Ρ€Π΅ΠΉ. — Π–ΡƒΡ€Π½Π°Π» «Π˜ΠΌΡƒΡ‰Π΅ΡΡ‚Π²Π΅Π½Π½Ρ‹Π΅ ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡ Π² Π Π€» № 8 (95) 2009, стр. 18−28.
  3. Π“. Πœ. ΠœΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠ° прогнозирования Ρ†Π΅Π½ Π½Π° ΠΆΠΈΠ»ΡŒΠ΅ Π² Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡ‚ΠΈ ΠΎΡ‚ Ρ‚ΠΈΠΏΠ° Ρ€Ρ‹Π½ΠΊΠ°. — Π–ΡƒΡ€Π½Π°Π» «Π˜ΠΌΡƒΡ‰Π΅ΡΡ‚Π²Π΅Π½Π½Ρ‹Π΅ ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡ Π² Π Π€» 2011, № 1, стр. 43−47.
  4. ΠŸΡ€ΠΎΠ³Π½ΠΎΠ· ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎ-экономичСского развития Российской Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ Π½Π° 2011 Π³ΠΎΠ΄ ΠΈ Π½Π° ΠΏΠ»Π°Π½ΠΎΠ²Ρ‹ΠΉ ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ 2012 ΠΈ 2013 Π³ΠΎΠ΄ΠΎΠ². — http://www.economy.gov.ru/minec/activity/sections/macro/prognoz/doc2010092307.
  5. Π˜ΡΡ…ΠΎΠ΄Π½Ρ‹Π΅ условия для формирования Π²Π°Ρ€ΠΈΠ°Π½Ρ‚ΠΎΠ² развития экономики ΠŸΠ΅Ρ€ΠΌΡΠΊΠΎΠ³ΠΎ края Π½Π° ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ Π΄ΠΎ 2012 Π³ΠΎΠ΄Π° (основныС сцСнарныС условия). — http://www.gorodperm.ru.
  6. http://www.gks.ru
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